Riley J. Williams
- Surgery top 10%
- Rheumatology top 5%
- Pharmacology top 10%
- Infectious Diseases top 10%
- Epidemiology
- Co-authors
- Daniel JangGeorge A.C. MurrellChris A. GentryThomas L. WickiewiczJo A. HannafinGeoffrey H. WestrichRussell E. WindsorJeffrey A. Siegel
- Topics
- Osteoarthritis Treatment and Mechanisms (7 papers)Microscopic Colitis (7 papers)Clostridium difficile and Clostridium perfringens research (7 papers)
- Journals
- Clinical Infectious DiseasesBiochemical and Biophysical Research CommunicationsThe American Journal of Sports Medicine
- Partner nations
- United StatesSwedenAustralia
In The Last Decade
Riley J. Williams
28 papers receiving 806 citations
Peers
Comparison fields: 5 of 97
- Surgery 286
- Rheumatology 240
- Pharmacology 158
- Infectious Diseases 156
- Epidemiology 144
Countries citing papers authored by Riley J. Williams
This map shows the geographic impact of Riley J. 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 Riley J. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riley J. Williams more than expected).
Fields of papers citing papers by Riley J. Williams
This network shows the impact of papers produced by Riley J. 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 Riley J. Williams. The network helps show where Riley J. Williams may publish in the future.
Co-authorship network of co-authors of Riley J. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Riley J. Williams. A scholar is included among the top collaborators of Riley J. 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 Riley J. Williams. Riley J. 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 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 10 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 9 | |
| 10 | 29 | |
| 11 | 24 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 6 | |
| 16 | 121 | |
| 17 | 8 | |
| 18 | 62 | |
| 19 | 339 | |
| 20 | 18 |
About Riley J. Williams
Riley J. Williams is a scholar working on Applied Microbiology and Biotechnology, Health Informatics and Infectious Diseases, having authored 32 papers that have together received 829 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (7 papers), Microscopic Colitis (7 papers) and Clostridium difficile and Clostridium perfringens research (7 papers). The work is most often cited by research in Rheumatology (240 citations), Health Informatics (16 citations) and Pharmacology (158 citations). Riley J. Williams has collaborated with scholars based in United States, Sweden and Australia. Frequent co-authors include Daniel Jang, George A.C. Murrell, Chris A. Gentry, Thomas L. Wickiewicz, Jo A. Hannafin, Geoffrey H. Westrich, Russell E. Windsor, Jeffrey A. Siegel, David J. Schurman and R. Lane Smith. Their work appears in journals such as Clinical Infectious Diseases, Biochemical and Biophysical Research Communications and The American Journal of Sports Medicine.
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.