P.E. Williams
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Pharmacology top 10%
- Antibiotics Pharmacokinetics and Efficacy
Papers in ⓘ
-
- Blood groups and transfusion 5
- Immunology 11
- Immunodeficiency and Autoimmune Disorders 7
- Immune Response and Inflammation 4
- Co-authors
- Stuart M. Harding (2 shared papers)John Ayrton (1 shared paper)P.L. Yap (10 shared papers)Eric Rolfhus (1 shared paper)Lawrence G. Weiss (1 shared paper)S. J. Urbaniak (1 shared paper)George Galea (1 shared paper)J. Gillon (1 shared paper)
- Journals
- Antimicrobial Agents and Chemotherapy (2 papers)Langmuir (2 papers)Cancer (1 paper)Biochemical Society Transactions (1 paper)Journal of Antimicrobial Chemotherapy (1 paper)
- Partner nations
- United KingdomChinaSwitzerland
In The Last Decade
P.E. Williams
24 papers receiving 343 citations
Peers
Comparison fields: 5 of 86
- Molecular Medicine 81
- Pharmacology 128
- Hematology 39
- Applied Microbiology and Biotechnology 7
- Epidemiology 117
Countries citing papers authored by P.E. Williams
This map shows the geographic impact of P.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 P.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 P.E. Williams more than expected).
Fields of papers citing papers by P.E. Williams
This network shows the impact of papers produced by P.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 P.E. Williams. The network helps show where P.E. Williams may publish in the future.
Co-authors
The 25 scholars most cited alongside P.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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1984 | 111 | |
| 2 | 1989 | 49 | |
| 3 | 1984 | 39 | |
| 4 | WISC-IV Technical Report #1 Theoretical Model and Test Blueprint | 2003 | 28 |
| 5 | 1985 | 20 | |
| 6 | 2015 | 19 | |
| 7 | 2017 | 18 | |
| 8 | 1991 | 18 | |
| 9 | 1990 | 14 | |
| 10 | 1986 | 12 | |
| 11 | 1988 | 10 | |
| 12 | 1995 | 9 | |
| 13 | 2018 | 8 | |
| 14 | 1993 | 4 | |
| 15 | 1990 | 4 | |
| 16 | 1988 | 4 | |
| 17 | 1990 | 3 | |
| 18 | 1990 | 3 | |
| 19 | 1989 | 2 | |
| 20 | 1982 | 2 |
About P.E. Williams
P.E. Williams is a scholar working on Hematology, Immunology, Molecular Medicine, Internal Medicine and Virology, having authored 24 papers that have together received 381 indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (7 papers), Blood groups and transfusion (5 papers), Immune Response and Inflammation (4 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), S100 Proteins and Annexins (3 papers), Luminescence and Fluorescent Materials (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Molecular Medicine (81 citations), Pharmacology (128 citations), Hematology (39 citations), Applied Microbiology and Biotechnology (7 citations) and Epidemiology (117 citations). P.E. Williams has collaborated with scholars based in United Kingdom, China and Switzerland. Frequent co-authors include Stuart M. Harding, John Ayrton, P.L. Yap, Eric Rolfhus, Lawrence G. Weiss, S. J. Urbaniak, George Galea, J. Gillon, Oren A. Scherman and Zarah Walsh. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Langmuir, Cancer, Biochemical Society Transactions and Journal of Antimicrobial Chemotherapy.
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.