James C. Williamson
Impact in
- Virology top 5%
- HIV Research and Treatment
- Immunology top 10%
- interferon and immune responses
- Immune Cell Function and Interaction
Papers in
- Virology 8
- HIV Research and Treatment 8
- Co-authors
- Paul J. Lehner (19 shared papers)Nicholas J. Matheson (8 shared papers)Edward JD Greenwood (5 shared papers)Robin Antrobus (7 shared papers)Adi Naamati (4 shared papers)Ole N. Jensen (4 shared papers)Dick J. H. van den Boomen (2 shared papers)Ambrosius P. Snijders (4 shared papers)
- Journals
- Cell Reports (4 papers)PROTEOMICS (4 papers)eLife (3 papers)Free Radical Biology and Medicine (2 papers)Journal of Proteomics (2 papers)
- Partner nations
- United KingdomUnited StatesDenmark
In The Last Decade
James C. Williamson
42 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 101
- Virology 180
- Immunology 238
- Periodontics 45
- Cell Biology 163
- Molecular Biology 638
Countries citing papers authored by James C. Williamson
This map shows the geographic impact of James C. Williamson'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 James C. Williamson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James C. Williamson more than expected).
Fields of papers citing papers by James C. Williamson
This network shows the impact of papers produced by James C. Williamson. 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 James C. Williamson. The network helps show where James C. Williamson may publish in the future.
Co-authors
The 25 scholars most cited alongside James C. Williamson, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 87 | |
| 2 | 2016 | 69 | |
| 3 | 2019 | 68 | |
| 4 | 2015 | 67 | |
| 5 | 2020 | 64 | |
| 6 | 2018 | 63 | |
| 7 | 2021 | 63 | |
| 8 | 2016 | 59 | |
| 9 | 2016 | 53 | |
| 10 | 2014 | 41 | |
| 11 | 2009 | 38 | |
| 12 | 2019 | 38 | |
| 13 | 2015 | 35 | |
| 14 | 2019 | 34 | |
| 15 | 2020 | 33 | |
| 16 | 2019 | 33 | |
| 17 | 2013 | 31 | |
| 18 | 2010 | 30 | |
| 19 | 2020 | 27 | |
| 20 | 1993 | 26 |
About James C. Williamson
James C. Williamson is a scholar working on Molecular Biology, Virology, Immunology, Cell Biology and Epidemiology, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), Advanced Proteomics Techniques and Applications (6 papers), Immune Cell Function and Interaction (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Cellular transport and secretion (3 papers), Herpesvirus Infections and Treatments (3 papers), T-cell and B-cell Immunology (3 papers) and HIV/AIDS drug development and treatment (3 papers). The work is most often cited by research in Virology (180 citations), Immunology (238 citations), Periodontics (45 citations), Cell Biology (163 citations) and Molecular Biology (638 citations). James C. Williamson has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Paul J. Lehner, Nicholas J. Matheson, Edward JD Greenwood, Robin Antrobus, Adi Naamati, Ole N. Jensen, Dick J. H. van den Boomen, Ambrosius P. Snijders, Mark J. Dickman and Adelina Rogowska-Wrzesińska. Their work appears in journals such as Cell Reports, PROTEOMICS, eLife, Free Radical Biology and Medicine and Journal of Proteomics.
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.