P.E. Williams
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Pharmacology top 10%
- Antibiotics Pharmacokinetics and Efficacy
Papers in
- Immunology 11
- Immunodeficiency and Autoimmune Disorders 7
- 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)P.L. Yap (10 shared papers)Lawrence G. Weiss (1 shared paper)Eric Rolfhus (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)Journal of Antimicrobial Chemotherapy (1 paper)Vox Sanguinis (1 paper)Annals of Hematology (1 paper)
- Partner nations
- United KingdomChinaSouth Africa
In The Last Decade
P.E. Williams
24 papers receiving 346 citations
Peers
Comparison fields: 5 of 83
- Molecular Medicine 75
- Pharmacology 117
- Hematology 37
- Epidemiology 103
- Applied Microbiology and Biotechnology 6
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 | 112 | |
| 2 | 1989 | 49 | |
| 3 | 1984 | 39 | |
| 4 | WISC-IV Technical Report #1 Theoretical Model and Test Blueprint | 2003 | 28 |
| 5 | 2015 | 19 | |
| 6 | 1985 | 19 | |
| 7 | 2017 | 18 | |
| 8 | 1991 | 18 | |
| 9 | 1990 | 16 | |
| 10 | 1986 | 12 | |
| 11 | 1988 | 10 | |
| 12 | 1995 | 9 | |
| 13 | 2018 | 8 | |
| 14 | 1993 | 4 | |
| 15 | 1988 | 4 | |
| 16 | 1990 | 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 Immunology, Hematology, Molecular Biology, Organic Chemistry and Surgery, having authored 24 papers that have together received 383 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), S100 Proteins and Annexins (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Supramolecular Chemistry and Complexes (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Molecular Medicine (75 citations), Pharmacology (117 citations), Hematology (37 citations), Epidemiology (103 citations) and Applied Microbiology and Biotechnology (6 citations). P.E. Williams has collaborated with scholars based in United Kingdom, China and South Africa. Frequent co-authors include Stuart M. Harding, John Ayrton, P.L. Yap, Lawrence G. Weiss, Eric Rolfhus, 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, Journal of Antimicrobial Chemotherapy, Vox Sanguinis and Annals of Hematology.
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.