P.E. Williams

542 citations
24 papers · 383 · h-index 11

Impact in

Papers in

    • Immunodeficiency and Autoimmune Disorders 7
    • Immune Response and Inflammation 4
    • Blood groups and transfusion 5

P.E. Williams

24 papers receiving 346 citations

Peers

P.E. Williams
Comparison fields: 5 of 83
  • Molecular Medicine 75
  • Pharmacology 117
  • Hematology 37
  • Epidemiology 103
  • Applied Microbiology and Biotechnology 6
Replace Timothy L. Comstock with:
Timothy L. Comstock United States
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David G. Proctor United Kingdom
William G. Love United Kingdom
Steven R. Inglis United States
Sara Esposito Italy
Omer Qutaiba B. Allela Iraq
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Ary Wolfgang Richter Sweden
P.E. Williams relative to Timothy L. Comstock United States Timothy L. Comstock's profile →
Citations per field
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Timothy L. Comstock · 1×
Citations per year

Countries citing papers authored by P.E. Williams

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with P.E. Williams Line = papers co-authored together P.E. Williams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984112
2 198949
3 198439
4
WISC-IV Technical Report #1 Theoretical Model and Test Blueprint
200328
5 201519
6 198519
7 201718
8 199118
9 199016
10 198612
11 198810
12 19959
13 20188
14 19934
15 19884
16 19904
17 19903
18 19903
19 19892
20 19822

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.

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