E. Diane Williamson
- Endocrinology top 2%
- Vibrio bacteria research studies 6
- Parasitology top 2%
- Vector-borne infectious diseases 9
- Infectious Diseases top 2%
- Clostridium difficile and Clostridium perfringens research 11
- Genetics top 2%
- Yersinia bacterium, plague, ectoparasites research 30
- Bacterial Genetics and Biotechnology 7
- Immunology top 5%
- Toxin Mechanisms and Immunotoxins 10
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- Bacillus and Francisella bacterial research 22
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- Pharmacological Effects of Natural Compounds 12
- Co-authors
- Richard W. TitballJim EylesH. Oya AlparStephen J. ElvinKate F. GriffinGareth D. HealeySophie E.C. LearyJulie Ann Miller
- Partner nations
- United KingdomUnited StatesSlovakia
In The Last Decade
E. Diane Williamson
75 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 106
- Endocrinology 285
- Parasitology 279
- Infectious Diseases 706
- Genetics 975
- Immunology 529
Countries citing papers authored by E. Diane Williamson
This map shows the geographic impact of E. Diane 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 E. Diane Williamson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Diane Williamson more than expected).
Fields of papers citing papers by E. Diane Williamson
This network shows the impact of papers produced by E. Diane 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 E. Diane Williamson. The network helps show where E. Diane Williamson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside E. Diane 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2020 | 9 | |
| 3 | 2019 | 7 | |
| 4 | 2019 | 31 | |
| 5 | 2019 | 23 | |
| 6 | 2015 | 17 | |
| 7 | 2012 | 24 | |
| 8 | 2009 | 8 | |
| 9 | 2006 | 10 | |
| 10 | 2006 | 25 | |
| 11 | 2005 | 35 | |
| 12 | 2004 | 62 | |
| 13 | 2004 | 23 | |
| 14 | 2002 | 15 | |
| 15 | 2001 | 79 | |
| 16 | 2001 | 73 | |
| 17 | 2000 | 28 | |
| 18 | 2000 | 48 | |
| 19 | 1996 | 48 | |
| 20 | 1994 | 3 |
About E. Diane Williamson
E. Diane Williamson is a scholar working on Pharmacology, Parasitology and Endocrinology, having authored 75 papers that have together received 2.5k indexed citations. Recurring topics across this work include Yersinia bacterium, plague, ectoparasites research (30 papers), Bacillus and Francisella bacterial research (22 papers), Pharmacological Effects of Natural Compounds (12 papers), Clostridium difficile and Clostridium perfringens research (11 papers), Toxin Mechanisms and Immunotoxins (10 papers), Vector-borne infectious diseases (9 papers), Bacterial Genetics and Biotechnology (7 papers) and Vibrio bacteria research studies (6 papers). The work is most often cited by research in Endocrinology (285 citations), Parasitology (279 citations) and Infectious Diseases (706 citations). E. Diane Williamson has collaborated with scholars based in United Kingdom, United States and Slovakia. Frequent co-authors include Richard W. Titball, Jim Eyles, H. Oya Alpar, Stephen J. Elvin, Kate F. Griffin, Gareth D. Healey, Sophie E.C. Leary, Julie Ann Miller, Helen C. Flick-Smith and Jim Hill. Their work appears in journals such as Vaccine, Infection and Immunity, Microbial Pathogenesis, Journal of Controlled Release and Scientific Reports.
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.