Richard Coker
- Epidemiology top 2%
- Infectious Diseases top 1%
- Public Health, Environmental and Occupational Health top 5%
- Modeling and Simulation top 1%
- General Health Professions top 5%
- Co-authors
- Sandra Mounier‐JackMartin McKeeRifat AtunMay Pui Shan YeungFrank Leung‐Yuk LamFrancis DrobniewskiJames W. RudgeWiku Adisasmito
- Topics
- Influenza Virus Research Studies (28 papers)Viral Infections and Outbreaks Research (23 papers)COVID-19 epidemiological studies (20 papers)
- Partner nations
- United KingdomThailandUnited States
In The Last Decade
Richard Coker
110 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 156
- Epidemiology 1.0k
- Infectious Diseases 987
- Public Health, Environmental and Occupational Health 461
- Modeling and Simulation 327
- General Health Professions 325
Countries citing papers authored by Richard Coker
This map shows the geographic impact of Richard Coker'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 Richard Coker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Coker more than expected).
Fields of papers citing papers by Richard Coker
This network shows the impact of papers produced by Richard Coker. 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 Richard Coker. The network helps show where Richard Coker may publish in the future.
Co-authorship network of co-authors of Richard Coker
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Coker. A scholar is included among the top collaborators of Richard Coker 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 Richard Coker. Richard Coker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 16 | |
| 3 | Pandemic Legislation in the European Union: Fit for Purpose? The Need for a Systematic Comparison of National Laws | 1 |
| 4 | 18 | |
| 5 | 3 | |
| 6 | 13 | |
| 7 | 10 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 24 | |
| 11 | 2 | |
| 12 | 12 | |
| 13 | 5 | |
| 14 | 142 | |
| 15 | Epidemiology and control of tuberculosis in Western European cities. | 45 |
| 16 | 18 | |
| 17 | 2 | |
| 18 | 8 | |
| 19 | 16 | |
| 20 | 12 |
About Richard Coker
Richard Coker is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology, having authored 111 papers that have together received 2.4k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (28 papers), Viral Infections and Outbreaks Research (23 papers) and COVID-19 epidemiological studies (20 papers). The work is most often cited by research in Modeling and Simulation (327 citations), Infectious Diseases (987 citations) and Epidemiology (1.0k citations). Richard Coker has collaborated with scholars based in United Kingdom, Thailand and United States. Frequent co-authors include Sandra Mounier‐Jack, Martin McKee, Rifat Atun, May Pui Shan Yeung, Frank Leung‐Yuk Lam, Francis Drobniewski, James W. Rudge, Wiku Adisasmito, Yanina Balabanova and Jonathan Rushton. Their work appears in journals such as The Lancet, PLoS ONE and Clinical Infectious Diseases.
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.