Mathilde Richard
Impact in
- Epidemiology top 1%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
- Epidemiology 58
- Influenza Virus Research Studies 58
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- SARS-CoV-2 and COVID-19 Research 4
- Co-authors
- Ron A. M. Fouchier (39 shared papers)Sander Herfst (25 shared papers)Theo M. Bestebroer (23 shared papers)Dennis de Meulder (16 shared papers)Thijs Kuiken (14 shared papers)Pascal Lexmond (16 shared papers)Judith M. A. van den Brand (12 shared papers)Kirsty Renfree Short (6 shared papers)
- Journals
- Viruses (6 papers)Journal of Virology (5 papers)PLoS Pathogens (4 papers)Cell Host & Microbe (3 papers)PLoS ONE (3 papers)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Mathilde Richard
61 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 111
- Epidemiology 1.5k
- Infectious Diseases 477
- Pulmonary and Respiratory Medicine 217
- Modeling and Simulation 31
- Animal Science and Zoology 48
Countries citing papers authored by Mathilde Richard
This map shows the geographic impact of Mathilde Richard'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 Mathilde Richard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathilde Richard more than expected).
Fields of papers citing papers by Mathilde Richard
This network shows the impact of papers produced by Mathilde Richard. 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 Mathilde Richard. The network helps show where Mathilde Richard may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathilde Richard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 365 | |
| 2 | 2016 | 210 | |
| 3 | 2013 | 173 | |
| 4 | 2015 | 161 | |
| 5 | 2021 | 145 | |
| 6 | 2020 | 138 | |
| 7 | 2015 | 108 | |
| 8 | 2018 | 82 | |
| 9 | 2014 | 75 | |
| 10 | 2019 | 68 | |
| 11 | 2018 | 53 | |
| 12 | 2016 | 49 | |
| 13 | 2014 | 48 | |
| 14 | 2015 | 40 | |
| 15 | 2016 | 40 | |
| 16 | 2022 | 40 | |
| 17 | 2017 | 39 | |
| 18 | 2018 | 39 | |
| 19 | 2020 | 37 | |
| 20 | 2011 | 36 |
About Mathilde Richard
Mathilde Richard is a scholar working on Epidemiology, Infectious Diseases, Pulmonary and Respiratory Medicine, Immunology and Public Health, Environmental and Occupational Health, having authored 64 papers that have together received 2.5k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (58 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Infection Control and Ventilation (2 papers), T-cell and B-cell Immunology (1 paper) and Zoonotic diseases and public health (1 paper). The work is most often cited by research in Epidemiology (1.5k citations), Infectious Diseases (477 citations), Pulmonary and Respiratory Medicine (217 citations), Modeling and Simulation (31 citations) and Animal Science and Zoology (48 citations). Mathilde Richard has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Ron A. M. Fouchier, Sander Herfst, Theo M. Bestebroer, Dennis de Meulder, Thijs Kuiken, Pascal Lexmond, Judith M. A. van den Brand, Kirsty Renfree Short, Monique I. J. Spronken and Eefje J. A. Schrauwen. Their work appears in journals such as Viruses, Journal of Virology, PLoS Pathogens, Cell Host & Microbe and PLoS ONE.
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.