Margret Nathan
Impact in
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
- Epidemiology top 10%
- Respiratory viral infections research
- Influenza Virus Research Studies
Papers in
-
- Respiratory viral infections research 4
- Influenza Virus Research Studies 4
-
- Viral Infections and Vectors 2
- Co-authors
- Gale Smith (5 shared papers)Michael J. Massare (2 shared papers)Gary F. Gerard (1 shared paper)James M. D'Alessio (1 shared paper)Peter Pushko (2 shared papers)Terrence M. Tumpey (2 shared papers)Ye V. Liu (1 shared paper)Itamar Barash (2 shared papers)
- Journals
- Transgenic Research (2 papers)Vaccine (2 papers)PLoS ONE (1 paper)Molecular Biotechnology (1 paper)Open MIND (1 paper)
- Partner nations
- United StatesBulgariaIsrael
In The Last Decade
Margret Nathan
9 papers receiving 502 citations
Peers
Comparison fields: 5 of 53
- Infectious Diseases 211
- Epidemiology 229
- Virology 25
- Animal Science and Zoology 50
- Biotechnology 39
Countries citing papers authored by Margret Nathan
This map shows the geographic impact of Margret Nathan'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 Margret Nathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margret Nathan more than expected).
Fields of papers citing papers by Margret Nathan
This network shows the impact of papers produced by Margret Nathan. 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 Margret Nathan. The network helps show where Margret Nathan may publish in the future.
Co-authors
The 25 scholars most cited alongside Margret Nathan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 125 | |
| 2 | 1997 | 85 | |
| 3 | 2007 | 80 | |
| 4 | Chimeric severe acute respiratory syndrome coronavirus (SARS-CoV) S glycoprotein and influenza matrix 1 efficiently form virus-like particles (VLPs) that protect mice against challenge with SARS-CoV | 2011 | 76 |
| 5 | 1992 | 64 | |
| 6 | 2010 | 58 | |
| 7 | 1987 | 22 | |
| 8 | 1994 | 21 | |
| 9 | 2013 | 19 |
About Margret Nathan
Margret Nathan is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Genetics and Surgery, having authored 9 papers that have together received 550 indexed citations. Recurring topics across this work include Respiratory viral infections research (4 papers), Influenza Virus Research Studies (4 papers), Xenotransplantation and immune response (2 papers), Animal Genetics and Reproduction (2 papers), Animal Disease Management and Epidemiology (2 papers), Virus-based gene therapy research (2 papers), Viral Infections and Vectors (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Infectious Diseases (211 citations), Epidemiology (229 citations), Virology (25 citations), Animal Science and Zoology (50 citations) and Biotechnology (39 citations). Margret Nathan has collaborated with scholars based in United States, Bulgaria and Israel. Frequent co-authors include Gale Smith, Michael J. Massare, Gary F. Gerard, James M. D'Alessio, Peter Pushko, Terrence M. Tumpey, Ye V. Liu, Itamar Barash, Dale L. Barnard and George A. Ricca. Their work appears in journals such as Transgenic Research, Vaccine, PLoS ONE, Molecular Biotechnology and Open MIND.
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.