Diana L. Williams
- Infectious Diseases top 0.2%
- Leprosy Research and Treatment 46
- Tuberculosis Research and Epidemiology 34
- Epidemiology top 1%
- Mycobacterium research and diagnosis 56
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 4
- Surgery top 2%
- Infectious Diseases and Tuberculosis 23
- Immunology top 10%
-
- Pharmacological Effects of Natural Compounds 4
-
- Yersinia bacterium, plague, ectoparasites research 3
-
- Innovative Microfluidic and Catalytic Techniques Innovation 2
- Co-authors
- Thomas P. GillisDavid M. ScollardRichard W. TrumanLinda B. AdamsJames L. KrahenbuhlTom GillisJames M. MusserBarry N. Kreiswirth
- Journals
- Angewandte Chemie International Edition (1 paper)The Journal of Immunology (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesBrazilUnited Kingdom
In The Last Decade
Diana L. Williams
72 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Infectious Diseases 2.9k
- Epidemiology 2.4k
- Molecular Medicine 266
- Surgery 1.3k
- Immunology 270
Countries citing papers authored by Diana L. Williams
This map shows the geographic impact of Diana L. 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 Diana L. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diana L. Williams more than expected).
Fields of papers citing papers by Diana L. Williams
This network shows the impact of papers produced by Diana L. 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 Diana L. Williams. The network helps show where Diana L. Williams may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Diana L. 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 | 2022 | 9 | |
| 2 | 2020 | 7 | |
| 3 | 2019 | 35 | |
| 4 | 2017 | 14 | |
| 5 | 2016 | 33 | |
| 6 | 2014 | 1 | |
| 7 | 2013 | 36 | |
| 8 | 2012 | 38 | |
| 9 | 2005 | 64 | |
| 10 | 2005 | 10 | |
| 11 | 2002 | 28 | |
| 12 | 1998 | 55 | |
| 13 | 1998 | 42 | |
| 14 | 1996 | 260 | |
| 15 | 1995 | 47 | |
| 16 | 1995 | 6 | |
| 17 | 1992 | 8 | |
| 18 | 1990 | 89 | |
| 19 | 1990 | 37 | |
| 20 | 1988 | 28 |
About Diana L. Williams
Diana L. Williams is a scholar working on Infectious Diseases, Epidemiology and Microbiology, having authored 73 papers that have together received 3.5k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (56 papers), Leprosy Research and Treatment (46 papers), Tuberculosis Research and Epidemiology (34 papers), Infectious Diseases and Tuberculosis (23 papers), Antibiotic Resistance in Bacteria (4 papers), Pharmacological Effects of Natural Compounds (4 papers), Yersinia bacterium, plague, ectoparasites research (3 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (2 papers). The work is most often cited by research in Infectious Diseases (2.9k citations), Epidemiology (2.4k citations) and Molecular Medicine (266 citations). Diana L. Williams has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Thomas P. Gillis, David M. Scollard, Richard W. Truman, Linda B. Adams, James L. Krahenbuhl, Tom Gillis, James M. Musser, Barry N. Kreiswirth, Richard Frothingham and Elizabeth A. Talbot. Their work appears in journals such as Angewandte Chemie International Edition, The Journal of Immunology and PLoS ONE.
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.