Christopher Williams
Impact in
- Gender Studies top 5%
- Diversity and Career in Medicine
Papers in
-
- Diversity and Career in Medicine 10
-
- Innovations in Medical Education 6
- Medical Education and Admissions 5
- Co-authors
- Michael Kisielewski (2 shared papers)Michelle Sweet (2 shared papers)Lisa L. Willett (2 shared papers)Emily Stewart (2 shared papers)Richard Alweis (7 shared papers)Dinesh Verma (2 shared papers)Anne G. Pereira (2 shared papers)Elisa Bertino (2 shared papers)
- Journals
- The American Journal of Medicine (4 papers)Journal of Data and Information Quality (1 paper)Academic Medicine (1 paper)Virology (1 paper)Journal of Virology (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Christopher Williams
17 papers receiving 178 citations
Peers
Comparison fields: 5 of 50
- Gender Studies 98
- Health Informatics 6
- Public Health, Environmental and Occupational Health 90
- Emergency Medicine 22
- Emergency Medical Services 11
Countries citing papers authored by Christopher Williams
This map shows the geographic impact of Christopher 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 Christopher Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Williams more than expected).
Fields of papers citing papers by Christopher Williams
This network shows the impact of papers produced by Christopher 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 Christopher Williams. The network helps show where Christopher Williams may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Williams, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 28 | |
| 2 | 2017 | 20 | |
| 3 | 2018 | 17 | |
| 4 | 2012 | 17 | |
| 5 | 2019 | 17 | |
| 6 | 2018 | 16 | |
| 7 | 2019 | 14 | |
| 8 | 2014 | 9 | |
| 9 | 2017 | 8 | |
| 10 | 2022 | 7 | |
| 11 | 2018 | 7 | |
| 12 | 2019 | 5 | |
| 13 | 2019 | 5 | |
| 14 | 2017 | 5 | |
| 15 | 2020 | 3 | |
| 16 | 2022 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2021 | 0 |
About Christopher Williams
Christopher Williams is a scholar working on Gender Studies, Public Health, Environmental and Occupational Health, Emergency Medicine, Health and General Health Professions, having authored 18 papers that have together received 181 indexed citations. Recurring topics across this work include Diversity and Career in Medicine (10 papers), Innovations in Medical Education (6 papers), Medical Education and Admissions (5 papers), Hospital Admissions and Outcomes (4 papers), Access Control and Trust (2 papers), Health disparities and outcomes (2 papers), Privacy-Preserving Technologies in Data (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Gender Studies (98 citations), Health Informatics (6 citations), Public Health, Environmental and Occupational Health (90 citations), Emergency Medicine (22 citations) and Emergency Medical Services (11 citations). Christopher Williams has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Michael Kisielewski, Michelle Sweet, Lisa L. Willett, Emily Stewart, Richard Alweis, Dinesh Verma, Anne G. Pereira, Elisa Bertino, Brian Kwan and Bhavin Dalal. Their work appears in journals such as The American Journal of Medicine, Journal of Data and Information Quality, Academic Medicine, Virology and Journal of Virology.
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.