Ann Williams
Impact in
- Infectious Diseases top 0.5%
- Tuberculosis Research and Epidemiology
- Immunology top 1%
- Immune responses and vaccinations
- Immunodeficiency and Autoimmune Disorders
- Immune Cell Function and Interaction
- Immune Response and Inflammation
Papers in
-
- Tuberculosis Research and Epidemiology 72
- Immunology 50
- Immune responses and vaccinations 25
- Immunodeficiency and Autoimmune Disorders 19
- Immune Response and Inflammation 13
- Immune Cell Function and Interaction 7
- Co-authors
- Philip David Marsh (31 shared papers)Simon O Clark (42 shared papers)Helen McShane (13 shared papers)Graham J. Hatch (12 shared papers)Priscille M Brodin (5 shared papers)Roland Brosch (4 shared papers)Claude Leclerc (2 shared papers)Stewart Thomas Cole (2 shared papers)
- Journals
- Tuberculosis (17 papers)Vaccine (15 papers)Infection and Immunity (8 papers)PLoS ONE (4 papers)Clinical and Vaccine Immunology (3 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Ann Williams
115 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 129
- Infectious Diseases 3.3k
- Immunology 2.3k
- Epidemiology 1.9k
- Endocrinology 214
- Molecular Medicine 184
Countries citing papers authored by Ann Williams
This map shows the geographic impact of Ann 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 Ann Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann Williams more than expected).
Fields of papers citing papers by Ann Williams
This network shows the impact of papers produced by Ann 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 Ann Williams. The network helps show where Ann Williams may publish in the future.
Co-authors
The 25 scholars most cited alongside Ann 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
Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 540 | |
| 2 | 2013 | 210 | |
| 3 | 2001 | 180 | |
| 4 | 2004 | 171 | |
| 5 | 2004 | 152 | |
| 6 | 2005 | 147 | |
| 7 | 2012 | 123 | |
| 8 | 2016 | 121 | |
| 9 | 2004 | 117 | |
| 10 | 2004 | 117 | |
| 11 | 2004 | 116 | |
| 12 | 2010 | 114 | |
| 13 | 2006 | 108 | |
| 14 | 2013 | 97 | |
| 15 | 2001 | 93 | |
| 16 | 2003 | 91 | |
| 17 | 2003 | 91 | |
| 18 | 2018 | 89 | |
| 19 | 2000 | 78 | |
| 20 | 2013 | 72 |
About Ann Williams
Ann Williams is a scholar working on Infectious Diseases, Immunology, Epidemiology, Endocrinology and Molecular Medicine, having authored 116 papers that have together received 5.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (72 papers), Mycobacterium research and diagnosis (43 papers), Immune responses and vaccinations (25 papers), Immunodeficiency and Autoimmune Disorders (19 papers), Immune Response and Inflammation (13 papers), vaccines and immunoinformatics approaches (8 papers), Immune Cell Function and Interaction (7 papers) and Legionella and Acanthamoeba research (7 papers). The work is most often cited by research in Infectious Diseases (3.3k citations), Immunology (2.3k citations), Epidemiology (1.9k citations), Endocrinology (214 citations) and Molecular Medicine (184 citations). Ann Williams has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Philip David Marsh, Simon O Clark, Helen McShane, Graham J. Hatch, Priscille M Brodin, Roland Brosch, Claude Leclerc, Stewart Thomas Cole, Laleh Majlessi and Ian M. Orme. Their work appears in journals such as Tuberculosis, Vaccine, Infection and Immunity, PLoS ONE and Clinical and Vaccine Immunology.
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.