Ralf Altmeyer
Impact in
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
- Viral Infections and Vectors
- Virology top 2%
- HIV Research and Treatment
Papers in
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- Viral gastroenteritis research and epidemiology 13
- SARS-CoV-2 and COVID-19 Research 7
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- Viral Infections and Immunology Research 19
- Co-authors
- Fernando Arenzana‐Seisdedos (8 shared papers)Jean‐Louis Virelizier (6 shared papers)Ali Amara (5 shared papers)Béatrice Nal (8 shared papers)Roberto Bruzzone (8 shared papers)Malik Peiris (8 shared papers)François Kien (6 shared papers)Olivier Schwartz (3 shared papers)
In The Last Decade
Ralf Altmeyer
58 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 119
- Infectious Diseases 2.0k
- Virology 420
- Immunology 749
- Hepatology 272
- Animal Science and Zoology 345
Countries citing papers authored by Ralf Altmeyer
This map shows the geographic impact of Ralf Altmeyer'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 Ralf Altmeyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralf Altmeyer more than expected).
Fields of papers citing papers by Ralf Altmeyer
This network shows the impact of papers produced by Ralf Altmeyer. 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 Ralf Altmeyer. The network helps show where Ralf Altmeyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Ralf Altmeyer, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 398 | |
| 2 | 2008 | 362 | |
| 3 | 2003 | 303 | |
| 4 | 2011 | 221 | |
| 5 | 2005 | 183 | |
| 6 | 2004 | 151 | |
| 7 | 2006 | 150 | |
| 8 | 2021 | 146 | |
| 9 | 2002 | 122 | |
| 10 | 2009 | 117 | |
| 11 | 2003 | 93 | |
| 12 | 1993 | 89 | |
| 13 | 2012 | 79 | |
| 14 | 2007 | 73 | |
| 15 | SARS CoV subunit vaccine: antibody-mediated neutralisation and enhancement. | 2012 | 67 |
| 16 | 2015 | 64 | |
| 17 | 2007 | 64 | |
| 18 | 2001 | 63 | |
| 19 | 2009 | 60 | |
| 20 | 2015 | 56 |
About Ralf Altmeyer
Ralf Altmeyer is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Epidemiology, Virology and Molecular Biology, having authored 58 papers that have together received 3.8k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (19 papers), Respiratory viral infections research (13 papers), HIV Research and Treatment (13 papers), Viral gastroenteritis research and epidemiology (13 papers), Animal Disease Management and Epidemiology (10 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Virus-based gene therapy research (5 papers). The work is most often cited by research in Infectious Diseases (2.0k citations), Virology (420 citations), Immunology (749 citations), Hepatology (272 citations) and Animal Science and Zoology (345 citations). Ralf Altmeyer has collaborated with scholars based in France, China and Hong Kong. Frequent co-authors include Fernando Arenzana‐Seisdedos, Jean‐Louis Virelizier, Ali Amara, Béatrice Nal, Roberto Bruzzone, Malik Peiris, François Kien, Olivier Schwartz, Franck Fieschi and Nicolas Escriou. Their work appears in journals such as Journal of Biological Chemistry, Journal of Virology, PLoS ONE, Antiviral Research and Scientific Reports.
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.