N. Masurel
Impact in
- Epidemiology top 0.5%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Hepatitis B Virus Studies
- Infectious Diseases top 2%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
Papers in
- Epidemiology 88
- Influenza Virus Research Studies 66
- Respiratory viral infections research 31
- Hepatitis B Virus Studies 12
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- SARS-CoV-2 and COVID-19 Research 8
- Co-authors
- W.E.P. Beyer (21 shared papers)M Sprenger (11 shared papers)J. Hers (9 shared papers)A.M. Palache (6 shared papers)J. Mulder (5 shared papers)Willem Weimar (11 shared papers)Geert‐Jan Dinant (2 shared papers)J. André Knottnerus (2 shared papers)
- Journals
- Vaccine (9 papers)The Lancet (8 papers)Journal of Medical Virology (5 papers)Infection and Immunity (2 papers)Antonie van Leeuwenhoek (2 papers)
- Partner nations
- NetherlandsMongoliaUnited States
In The Last Decade
N. Masurel
103 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 111
- Epidemiology 2.4k
- Infectious Diseases 621
- Immunology 658
- Hepatology 169
- Agronomy and Crop Science 241
Countries citing papers authored by N. Masurel
This map shows the geographic impact of N. Masurel'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 N. Masurel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Masurel more than expected).
Fields of papers citing papers by N. Masurel
This network shows the impact of papers produced by N. Masurel. 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 N. Masurel. The network helps show where N. Masurel may publish in the future.
Co-authors
The 25 scholars most cited alongside N. Masurel, 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 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 183 | |
| 2 | 1989 | 177 | |
| 3 | 1958 | 172 | |
| 4 | 1994 | 144 | |
| 5 | 1993 | 142 | |
| 6 | 1994 | 121 | |
| 7 | 1986 | 115 | |
| 8 | 1996 | 111 | |
| 9 | 1993 | 87 | |
| 10 | 1980 | 77 | |
| 11 | 1973 | 76 | |
| 12 | 1996 | 75 | |
| 13 | 1987 | 68 | |
| 14 | 1981 | 66 | |
| 15 | 1962 | 63 | |
| 16 | 1989 | 61 | |
| 17 | 1991 | 60 | |
| 18 | 1993 | 60 | |
| 19 | 1993 | 57 | |
| 20 | 1967 | 56 |
About N. Masurel
N. Masurel is a scholar working on Epidemiology, Infectious Diseases, Immunology, Genetics and Molecular Biology, having authored 107 papers that have together received 3.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (66 papers), Respiratory viral infections research (31 papers), Hepatitis B Virus Studies (12 papers), Diabetes and associated disorders (10 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Hepatitis C virus research (8 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Receptor Mechanisms and Signaling (6 papers). The work is most often cited by research in Epidemiology (2.4k citations), Infectious Diseases (621 citations), Immunology (658 citations), Hepatology (169 citations) and Agronomy and Crop Science (241 citations). N. Masurel has collaborated with scholars based in Netherlands, Mongolia and United States. Frequent co-authors include W.E.P. Beyer, M Sprenger, J. Hers, A.M. Palache, J. Mulder, Willem Weimar, Geert‐Jan Dinant, J. André Knottnerus, Karin Aretz and Eric C. J. Claas. Their work appears in journals such as Vaccine, The Lancet, Journal of Medical Virology, Infection and Immunity and Antonie van Leeuwenhoek.
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.