Benjamin J. Cowling

80.3k citations
711 papers · 29.5k indexed · 17 hit papers · h-index 81
Topics
Influenza Virus Research Studies (345 papers)COVID-19 epidemiological studies (278 papers)Respiratory viral infections research (207 papers)

In The Last Decade

Benjamin J. Cowling

683 papers receiving 28.7k citations

Hit Papers

Respiratory virus shedding in exhaled b...20132026201720212020202020202014201950010001.5k

Peers

Benjamin J. Cowling
Comparison fields: 5 of 210
  • Epidemiology 10.7k
  • Infectious Diseases 10.1k
  • Modeling and Simulation 9.1k
  • Pulmonary and Respiratory Medicine 5.0k
  • Clinical Psychology 2.8k
Replace GM Leung with:
GM Leung Hong Kong
George F. Gao China
Kwok‐Yung Yuen Hong Kong
Ziad A. Memish Saudi Arabia
Marc Lipsitch United States
Cécile Viboud United States
Dayan Wang China
Leo L. M. Poon Hong Kong
Malik Peiris Hong Kong
Weifeng Shi China
Benjamin J. Cowling relative to GM Leung Hong Kong GM Leung's profile →
Citations per field
00.5×1.5×
GM Leung · 1×
Citations per year

Countries citing papers authored by Benjamin J. Cowling

Since Specialization
Citations

This map shows the geographic impact of Benjamin J. Cowling's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Benjamin J. Cowling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin J. Cowling more than expected).

Fields of papers citing papers by Benjamin J. Cowling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin J. Cowling. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Benjamin J. Cowling. The network helps show where Benjamin J. Cowling may publish in the future.

Co-authorship network of co-authors of Benjamin J. Cowling

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin J. Cowling. A scholar is included among the top collaborators of Benjamin J. Cowling based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Benjamin J. Cowling. Benjamin J. Cowling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Age of menarche and the metabolic syndrome in China: the Guangzhou Biobank Cohort Study
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About Benjamin J. Cowling

Benjamin J. Cowling is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology, having authored 711 papers that have together received 29.5k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (345 papers), COVID-19 epidemiological studies (278 papers) and Respiratory viral infections research (207 papers). The work is most often cited by research in Modeling and Simulation (9.1k citations), Infectious Diseases (10.1k citations) and Epidemiology (10.7k citations). Benjamin J. Cowling has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include GM Leung, Eric H. Y. Lau, Malik Peiris, Peng Wu, Dkm Ip, Vicky J. Fang, Joseph T. Wu, Shuo Feng, Yuguo Li and Qiuyan Liao. Their work appears in journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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