Paul E. Williams
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Pharmacology top 10%
- Antibiotics Pharmacokinetics and Efficacy
Papers in
- Immunology 12
- Immunodeficiency and Autoimmune Disorders 8
- Immune Response and Inflammation 4
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- Blood groups and transfusion 5
- Co-authors
- Stuart M. Harding (2 shared papers)John Ayrton (1 shared paper)PENG LEE YAP (11 shared papers)George Galea (2 shared papers)J. Gillon (2 shared papers)S. J. Urbaniak (1 shared paper)Eric L. Rolfhus (1 shared paper)Lawrence G. Weiss (1 shared paper)
- Journals
- Antimicrobial Agents and Chemotherapy (2 papers)Langmuir (2 papers)The Lancet (2 papers)Journal of Hospital Infection (1 paper)Biopharmaceutics & Drug Disposition (1 paper)
- Partner nations
- United KingdomChinaSouth Africa
In The Last Decade
Paul E. Williams
26 papers receiving 389 citations
Peers
Comparison fields: 5 of 87
- Molecular Medicine 77
- Pharmacology 122
- Hematology 53
- Immunology 86
- Hepatology 29
Countries citing papers authored by Paul E. Williams
This map shows the geographic impact of Paul E. 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 Paul E. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul E. Williams more than expected).
Fields of papers citing papers by Paul E. Williams
This network shows the impact of papers produced by Paul E. 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 Paul E. Williams. The network helps show where Paul E. Williams may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul E. 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1984 | 117 | |
| 2 | 1989 | 60 | |
| 3 | 1984 | 41 | |
| 4 | WISC-IV Technical Report #1 Theoretical Model and Test Blueprint | 2003 | 27 |
| 5 | 1988 | 26 | |
| 6 | 1985 | 21 | |
| 7 | 2015 | 21 | |
| 8 | 2017 | 19 | |
| 9 | 1991 | 18 | |
| 10 | 1990 | 16 | |
| 11 | 1988 | 13 | |
| 12 | 1986 | 13 | |
| 13 | 1995 | 10 | |
| 14 | 1993 | 9 | |
| 15 | 2018 | 8 | |
| 16 | 1987 | 6 | |
| 17 | 1990 | 5 | |
| 18 | 1990 | 4 | |
| 19 | 1988 | 4 | |
| 20 | 1990 | 3 |
About Paul E. Williams
Paul E. Williams is a scholar working on Immunology, Hematology, Genetics, Molecular Medicine and Pharmacology, having authored 26 papers that have together received 450 indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (8 papers), Blood groups and transfusion (5 papers), Immune Response and Inflammation (4 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Diabetes and associated disorders (3 papers), S100 Proteins and Annexins (3 papers), Antibiotic Resistance in Bacteria (2 papers) and Luminescence and Fluorescent Materials (2 papers). The work is most often cited by research in Molecular Medicine (77 citations), Pharmacology (122 citations), Hematology (53 citations), Immunology (86 citations) and Hepatology (29 citations). Paul E. Williams has collaborated with scholars based in United Kingdom, China and South Africa. Frequent co-authors include Stuart M. Harding, John Ayrton, PENG LEE YAP, George Galea, J. Gillon, S. J. Urbaniak, Eric L. Rolfhus, Lawrence G. Weiss, Zarah Walsh-Korb and Oren A. Scherman. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Langmuir, The Lancet, Journal of Hospital Infection and Biopharmaceutics & Drug Disposition.
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.