Richard K. Williams
- Infectious Diseases top 1%
- Animal Science and Zoology top 0.5%
- Epidemiology top 5%
- Molecular Biology
- Genetics top 5%
- Co-authors
- Kathryn V. HolmesG S JiangC B CardellichioCurtis YeagerA. Thomas LookLinda H. ShapiroStephen E. StrausGabriela Dveksler
- Topics
- Animal Virus Infections Studies (9 papers)Herpesvirus Infections and Treatments (9 papers)SARS-CoV-2 and COVID-19 Research (5 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Richard K. Williams
28 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Infectious Diseases 1.0k
- Animal Science and Zoology 791
- Epidemiology 624
- Molecular Biology 356
- Genetics 356
Countries citing papers authored by Richard K. Williams
This map shows the geographic impact of Richard K. Williams'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 Richard K. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard K. Williams more than expected).
Fields of papers citing papers by Richard K. Williams
This network shows the impact of papers produced by Richard K. Williams. 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 Richard K. Williams. The network helps show where Richard K. Williams may publish in the future.
Co-authorship network of co-authors of Richard K. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Richard K. Williams. A scholar is included among the top collaborators of Richard K. Williams based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Richard K. Williams. Richard K. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Advances in photobiomodulation therapy - a new paradigm in pain management | 0 |
| 2 | Baseline SOFA score and its lack of early improvement accurately predicts mortality in patients with acute-on-chronic liver failure. | 8 |
| 3 | 61 | |
| 4 | 1 | |
| 5 | 140 | |
| 6 | 39 | |
| 7 | 9 | |
| 8 | 39 | |
| 9 | 62 | |
| 10 | 21 | |
| 11 | Human aminopeptidase N is a receptor for human coronavirus 229Ebreakdown → | 705 |
| 12 | 324 | |
| 13 | 290 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 5 | |
| 17 | 43 | |
| 18 | 8 | |
| 19 | 50 | |
| 20 | 36 |
About Richard K. Williams
Richard K. Williams is a scholar working on Animal Science and Zoology, Virology and Epidemiology, having authored 29 papers that have together received 2.2k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (9 papers), Herpesvirus Infections and Treatments (9 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). The work is most often cited by research in Animal Science and Zoology (791 citations), Infectious Diseases (1.0k citations) and Virology (92 citations). Richard K. Williams has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Kathryn V. Holmes, G S Jiang, C B Cardellichio, Curtis Yeager, A. Thomas Look, Linda H. Shapiro, Stephen E. Straus, Gabriela Dveksler, Michael Pensiero and Carl W. Dieffenbach. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Cell Biology.
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.