Tim Beaumont
Impact in
- Virology top 5%
- HIV Research and Treatment
- Infectious Diseases top 2%
- Viral gastroenteritis research and epidemiology
Papers in ⓘ
- Virology 7
- HIV Research and Treatment 7
- Immunology 17
- T-cell and B-cell Immunology 11
- Immune Cell Function and Interaction 9
- Co-authors
- Etsuko Yasuda (13 shared papers)Hergen Spits (15 shared papers)Mark J. Kwakkenbos (5 shared papers)Sean A. Diehl (4 shared papers)Ferenc A. Scheeren (5 shared papers)Arjen Q. Bakker (14 shared papers)Barney S. Graham (2 shared papers)Azad Kumar (2 shared papers)
- Journals
- Journal of Virology (6 papers)Blood (4 papers)PLoS ONE (3 papers)PLoS Pathogens (2 papers)Virus Research (1 paper)
- Partner nations
- NetherlandsUnited StatesChina
In The Last Decade
Tim Beaumont
40 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Virology 183
- Infectious Diseases 669
- Immunology 747
- Epidemiology 944
- Animal Science and Zoology 143
Countries citing papers authored by Tim Beaumont
This map shows the geographic impact of Tim Beaumont'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 Tim Beaumont with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Beaumont more than expected).
Fields of papers citing papers by Tim Beaumont
This network shows the impact of papers produced by Tim Beaumont. 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 Tim Beaumont. The network helps show where Tim Beaumont may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Beaumont, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Structure of RSV Fusion Glycoprotein Trimer Bound to a Prefusion-Specific Neutralizing Antibody Hit paper breakdown → | 2013 | 617 |
| 2 | 2009 | 268 | |
| 3 | 2009 | 220 | |
| 4 | 2008 | 178 | |
| 5 | 2015 | 102 | |
| 6 | 2008 | 93 | |
| 7 | 2011 | 79 | |
| 8 | 2014 | 67 | |
| 9 | 2017 | 61 | |
| 10 | 2001 | 60 | |
| 11 | 2010 | 59 | |
| 12 | 2016 | 38 | |
| 13 | 2016 | 35 | |
| 14 | 2008 | 34 | |
| 15 | 2016 | 33 | |
| 16 | 2015 | 25 | |
| 17 | 2019 | 24 | |
| 18 | 2004 | 24 | |
| 19 | 2015 | 19 | |
| 20 | 2017 | 18 |
About Tim Beaumont
Tim Beaumont is a scholar working on Virology, Immunology, Animal Science and Zoology, Radiology, Nuclear Medicine and Imaging and Hepatology, having authored 44 papers that have together received 2.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (13 papers), T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (9 papers), HIV Research and Treatment (7 papers), Animal Virus Infections Studies (6 papers), Political Theory and Influence (5 papers), Hepatitis C virus research (4 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Virology (183 citations), Infectious Diseases (669 citations), Immunology (747 citations), Epidemiology (944 citations) and Animal Science and Zoology (143 citations). Tim Beaumont has collaborated with scholars based in Netherlands, United States and China. Frequent co-authors include Etsuko Yasuda, Hergen Spits, Mark J. Kwakkenbos, Sean A. Diehl, Ferenc A. Scheeren, Arjen Q. Bakker, Barney S. Graham, Azad Kumar, Man Chen and Ulrich Baxa. Their work appears in journals such as Journal of Virology, Blood, PLoS ONE, PLoS Pathogens and Virus Research.
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.