Article
Computer Science, Interdisciplinary Applications
Nataliya Matveeva, Ivan Sterligov, Andrey Lovakov
Summary: One major characteristic of research is international collaboration, and the post-Soviet countries have experienced significant changes in their collaboration patterns, with decreased collaboration among themselves and increased collaboration with Western countries.
Article
Computer Science, Interdisciplinary Applications
Jyoti Dua, Vivek Kumar Singh, Hiran H. Lathabai
Summary: Scientific collaboration at international level has significantly increased over the past 20 years, with positive correlation to research productivity and impact. Policymakers in different countries have implemented programs to promote international collaboration. This paper analyzes the international collaboration patterns in Indian scientific research from 2001 to 2020, showing a growth rate of 12.27% in international collaboration. While the USA, Germany, England, and China remain top collaborating partners, collaboration intensity with South Korea and Saudi Arabia has increased. About 50% of internationally collaborated papers have an Indian researcher as lead author, and more than 50% of authors in these papers are from India. The study discusses the factors shaping Indian international collaboration and its policy implications.
Article
Computer Science, Interdisciplinary Applications
Lei Hou, Yueling Pan, Jonathan J. H. Zhu
Summary: Scientific research has become increasingly globalized, with collaboration between countries influenced by factors such as science, economy, geopolitics, and culture. Countries with similar scientific and economic sizes are more likely to collaborate closely, while co-memberships in international organizations and cultural links also facilitate close collaboration between countries. The findings provide insights for policy-making in national research systems and international collaboration strategies.
JOURNAL OF INFORMETRICS
(2021)
Article
Computer Science, Information Systems
Parul Khurana, Kiran Sharma
Summary: This study examines the emerging trends and collaboration patterns of blockchain technology through bibliometric and network analysis, highlighting the impact of open-access publications, collaboration patterns, ranking, and key areas in the literature.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Review
Immunology
Defu Yuan, Shanshan Liu, Yangyang Liu, Fei Ouyang, Wei Ai, Lingen Shi, Xiaoyan Liu, Tao Qiu, Bei Wang, Ying Zhou
Summary: The HPV infection rate is high among Chinese HIV/AIDS patients, and the acceptance rate of the HPV vaccine is relatively high as well. The acceptance rate is almost the same for males and females, while MSM have a higher acceptance rate than non-MSM, suggesting that using MSM, especially MSM in PLWH, as an entry point may be a practical avenue to explore to further expand the scope of HPV vaccination.
Article
Medicine, Research & Experimental
Andrei-Flavius Radu, Simona Gabriela Bungau, Paul Andrei Negru, Mihai Florin Marcu, Felicia Liana Andronie-Cioara
Summary: Rheumatoid arthritis is a chronic autoimmune disorder, and pharmacotherapy plays a crucial role in its treatment. This study provides a comprehensive analysis of RA pharmacotherapy in terms of scientific impact, current research status, and trends, which is important for improving disease outcomes.
BIOMEDICINE & PHARMACOTHERAPY
(2022)
Article
Computer Science, Interdisciplinary Applications
Enrico di Bella, Luca Gandullia, Sara Preti
Summary: This paper analyzes the complex structure and characteristics of co-authorship networks among researchers at the Italian Institute of Technology, aiming to identify a possible relationship between researchers' positions in the graphs and their scientific productivity and quality. The study utilizes Social Network Analysis techniques to describe the relational structure of the researchers' group and its evolution over time, examining two different co-authorship networks based on papers published by the institute from 2006 to 2019.
Article
Computer Science, Interdisciplinary Applications
Xiaomei Bai, Fuli Zhang, Jinzhou Li, Zhong Xu, Zeeshan Patoli, Ivan Lee
Summary: This paper explores collaboration and productivity in science careers, quantifies the impact of collaboration in collaboration-citation networks, and proposes the SCIRank model. It also examines the typical duration of research collaborations.
Article
Health Care Sciences & Services
Ferran Catala-Lopez, Adolfo Alonso-Arroyo, Matthew J. Page, Lourdes Castello-Cogollos, Brian Hutton, Manuel Ridao, Rafael Tabares-Seisdedos, Rafael Aleixandre-Benavent, David Moher
Summary: This study investigated the scientific collaboration and citation metrics of reporting guidelines for health research. A cross-sectional analysis of published articles and network analyses of collaborations were conducted. The results identified key actors, intense collaborations, and 'citation classics' in the field, which could be used to strengthen collaborations for developing and disseminating reporting guidelines for health research.
JOURNAL OF CLINICAL EPIDEMIOLOGY
(2023)
Article
Computer Science, Interdisciplinary Applications
Elizabeth S. Vieira, Jorge Cerdeira, Aurora A. C. Teixeira
Summary: The importance of international research collaboration (IRC) in enhancing intellectual capital, increasing network embeddedness, and promoting innovation has been recognized. However, there is a lack of large-scale studies exploring the factors influencing IRC across different scientific domains and time periods. This study examines the impact of various distances, including geographical, socioeconomic, political, cultural, intellectual, and excellence distances, on the propensity to engage in IRC at the global level, within specific scientific domains, and over time. Overall, geographical and cultural distances are identified as the major barriers to IRC, with exceptions found in the Medical & Health Sciences and Agricultural Sciences domains. Socioeconomic, political, and intellectual distances have shown an increasing negative impact on IRC over time, while the negative impact of geographical and cultural distances has decreased.
JOURNAL OF INFORMETRICS
(2022)
Article
Clinical Neurology
Zhuo Li, Chi Xu, Jun Fu, Maimaiti Zulipikaer, Tao Deng, Jiying Chen
Summary: Central sensitization is a state of hypersensitivity in the central nervous system that plays a crucial role in chronic pain. The United States leads academic activity in this field, which is steadily growing. Research hotspots include the pathogenesis of central sensitization in neuropathic pain and related clinical trials.
JOURNAL OF PAIN RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
Bilal H. Butt, Muhammad Rafi, Muhammad Sabih
Summary: The study of scientific networks focuses on exploring social networks in academic research, using nodes such as authors, articles, or journals and connections like citation, co-citation, or co-authorship. By analyzing publicly available citation metadata, various techniques including centrality analysis, community detection, and clustering coefficient are applied to understand the structure and contributions of scientific networks. The use of Python scripts for network analysis aids in comprehending multidimensional scientific scholarship.
PEERJ COMPUTER SCIENCE
(2021)
Article
Education & Educational Research
Chunguang Hou, Peilei Fan, Debin Du, Qinchang Gui, Dezhong Duan
Summary: The knowledge production capacity of a country is not only influenced by its internal innovation factors, but also by its social capital in the global network. This study uses social network analysis and econometrics to evaluate international student mobility and scientific collaboration networks. The findings show a high spatial matching between international student mobility and scientific collaboration, and a positive correlation between national positions in scientific collaboration networks and international student mobility networks, leading to increased knowledge production and collaborative output.
COMPARE-A JOURNAL OF COMPARATIVE AND INTERNATIONAL EDUCATION
(2022)
Article
Multidisciplinary Sciences
Diana Marcela Achury-Saldana, Lidier Andres Castaneda-Rodriguez, Antonio Perianes-Rodriguez
Summary: This study aims to analyze the scientific collaboration patterns in the Nursing field in Latin America and examine its implications on scientific influence. A retrospective quantitative analysis was conducted on publications classified under the code 2900 in Scopus, spanning from 2005 to 2020. The findings show that the proportion of Latin American publications in Nursing is higher compared to the region as a whole. This increase may be attributed to the growth of nursing schools, diverse graduate and specialization programs, the establishment of scientific societies, and the recent increase in nursing conferences.
Article
Biotechnology & Applied Microbiology
Juan Chen, Lizi Pan, Yan Lu, Ting Zhang, Dongzi Xu, Shu Yan, Zhaolian Ouyang
Summary: In recent years, the field of mRNA vaccines has experienced rapid development, leading to significant changes in global scientific collaboration. A bibliometric and social network analysis revealed that domestic inter-institutional cooperation increased significantly, while international cooperation decreased significantly. More countries participated in international collaboration, with the US, the UK and Germany being the top three throughout all periods. Additionally, significant correlations were found between collaboration type and publication impact, as well as between geographical distance and collaborative publication counts.
HUMAN VACCINES & IMMUNOTHERAPEUTICS
(2023)
Letter
Immunology
Luciana M. Oliveira, Pamela Portela, Joice Merzoni, Jaqueline Beppler, Fernando S. Dias, Pietra Graebin, Clarice S. Alho, Gilberto Schwartsmann, Felipe Dal-Pizzol, Luiz Fernando Jobim, Mariana Jobim, Rafael Roesler
CLINICAL IMMUNOLOGY
(2019)
Article
Biochemistry & Molecular Biology
Marienela Buendia Duque, Kelly de Vargas Pinheiro, Amanda Thomaz, Camila Alves da Silva, Natalia Hogetop Freire, Andre Tesainer Brunetto, Gilberto Schwartsmann, Mariane Jaeger, Caroline Brunetto de Farias, Rafael Roesler
JOURNAL OF MOLECULAR NEUROSCIENCE
(2019)
Article
Oncology
Luis Carlos Moreira Antunes, Andre Cartell, Caroline Brunetto de Farias, Renato Marchiori Bakos, Rafael Roesler, Gilberto Schwartsmann
Letter
Oncology
R. Roesler
CLINICAL & TRANSLATIONAL ONCOLOGY
(2019)
Article
Dentistry, Oral Surgery & Medicine
Juliana Kern de Moraes, Vivian Petersen Wagner, Felipe Paiva Fonseca, Gleyson Kleber do Amaral-Silva, Caroline Brunetto de Farias, Emily Ferreira Salles Pilar, Auro Gregianin, Rafael Roesler, Pablo Agustin Vargas, Manoela Domingues Martins
Editorial Material
Oncology
Clarissa Mathias, Gustavo Faibischew Prado, Eldsamira Mascarenhas, Paula Antonia Ugalde, Ana Carolina Zimmer Gelatti, Elizangela Santos Carvalho, Lilian Dantonino Faroni, Ricardo Oliveira, Vladmir Claudio Cordeiro de Lima, Gilberto de Castro
JOURNAL OF THORACIC ONCOLOGY
(2020)
Article
Multidisciplinary Sciences
Philip Greulich, Ben D. MacArthur, Cristina Parigini, Ruben J. Sanchez-Garcia
ROYAL SOCIETY OPEN SCIENCE
(2019)
Article
Physics, Multidisciplinary
Ruben J. Sanchez-Garcia
COMMUNICATIONS PHYSICS
(2020)
Article
Developmental Biology
Philip Greulich, Ben D. MacArthur, Cristina Parigini, Ruben J. Sanchez-Garcia
Summary: The arrangement of cells in tissues forms a lineage hierarchy to regulate tissue turnover. Based on the relationship between cell molecular 'states' and cell 'types', a self-renewing cell type is shown to only reside at the top of the lineage hierarchy in dynamic equilibrium. The property of 'stemness' is entirely determined by the cell environment, supporting the idea that stem cell identities are contextual.
Article
Biology
Raffaella Mulas, Ruben J. Sanchez-Garcia, Ben D. MacArthur
Summary: Intracellular biochemical reaction systems play a central role in regulating cell identities and functions. While traditionally studied using graph theory, the newly developed hypergraph theory of chemical reactions allows for higher-order interactions and provides insights into geometry and quantitative functional redundancy in these systems. The results contribute to a general theory of automorphisms for oriented hypergraphs and describe the impact of automorphism group structure on hypergraph Laplacian spectra.
THEORY IN BIOSCIENCES
(2021)
Review
Biochemistry & Molecular Biology
Rafael Roesler, Barbara Kunzler Souza, Gustavo R. Isolan
Summary: Meningioma is the most common type of intracranial tumor in adults, and novel prognostic biomarkers are urgently needed to guide tumor stratification and clinical prognosis. Molecular and cellular alterations in Meningioma tumors over recent years provide a rational basis for identifying biomarkers and therapeutic targets. The role of receptor tyrosine kinases as oncogenes, including those in the ErbB family, has been well established, suggesting their potential as biomarkers and therapeutic targets in Meningioma.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)
Review
Biochemistry & Molecular Biology
Barbara Kunzler Souza, Natalia Hogetop Freire, Mariane Jaeger, Caroline Brunetto de Farias, Algemir L. Brunetto, Andre T. Brunetto, Rafael Roesler
Summary: G9a, a histone methyltransferase, is overexpressed in several cancer types, and inhibitors have potential as anticancer agents. Evidence suggests changes in G9a activity are involved in brain tumor development, especially in GBM and MB, as well as NB.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)
Article
Allergy
Joost Brandsma, James P. R. Schofield, Xian Yang, Fabio Strazzeri, Clair Barber, Victoria M. Goss, Grielof Koster, Per S. Bakke, Massimo Caruso, Pascal Chanez, Sven-Erik Dahlen, Stephen J. Fowler, Ildiko Horvath, Norbert Krug, Paolo Montuschi, Marek Sanak, Thomas Sandstrom, Dominick E. Shaw, Kian Fan Chung, Florian Singer, Louise J. Fleming, Ian M. Adcock, Ioannis Pandis, Aruna T. Bansal, Julie Corfield, Ana R. Sousa, Peter J. Sterk, Ruben J. Sanchez-Garcia, Paul J. Skipp, Anthony D. Postle, Ratko Djukanovic
Summary: This study conducted a comprehensive analysis of the lipid composition in the induced sputum of asthma patients and healthy controls, revealing 9 different lipid phenotypes. The results indicated that abnormal lipid metabolism in asthma patients is associated with disease severity and lung function impairment.
JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Robin Mitra, Sarah F. McGough, Tapabrata Chakraborti, Chris Holmes, Ryan Copping, Niels Hagenbuch, Stefanie Biedermann, Jack Noonan, Brieuc Lehmann, Aditi Shenvi, Xuan Vinh Doan, David Leslie, Ginestra Bianconi, Ruben Sanchez-Garcia, Alisha Davies, Maxine Mackintosh, Eleni-Rosalina Andrinopoulou, Anahid Basiri, Chris Harbron, Ben D. MacArthur
Summary: Gathering big datasets is crucial for machine learning in scientific areas, but missing data values pose challenges, especially when dealing with structured missingness. While tools exist to handle 'missing at random' data, structured missingness, where missing values show association or structure, presents new obstacles. This issue becomes increasingly important as machine learning studies aim to learn from larger volumes of heterogeneous data.
NATURE MACHINE INTELLIGENCE
(2023)
Review
Mathematics, Interdisciplinary Applications
A. Baptista, R. J. Sanchez-Garcia, A. Baudot, G. Bianconi
Summary: This review provides an overview of the research on network embedding and offers a guide to the complex landscape of methods and approaches, helping readers navigate through this field.
JOURNAL OF PHYSICS-COMPLEXITY
(2023)