Peter Williams

1.1k citations
9 papers · 425 · h-index 7

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • HIV/AIDS drug development and treatment 4
    • HIV/AIDS Research and Interventions 4
    • HIV Research and Treatment 4

Peter Williams

9 papers receiving 416 citations

Peers

Peter Williams
Comparison fields: 5 of 76
  • Virology 229
  • Infectious Diseases 275
  • Applied Microbiology and Biotechnology 16
  • Medical Terminology 2
  • Hepatology 46
Replace Bindiya Meggi with:
Bindiya Meggi Mozambique
Esther C. Casas United Kingdom
Khine Wut Yee Kyaw Myanmar
Binta Sultan United Kingdom
Mahamoudou Sanou Burkina Faso
Rebecca Berhanu South Africa
Isabelle Andrieux‐Meyer Switzerland
Christopher KC Lee Malaysia
Peter Saranchuk South Africa
Roberta Amici Italy
Peter Williams relative to Bindiya Meggi Mozambique Bindiya Meggi's profile →
Citations per field
00.5×
Bindiya Meggi · 1×
Citations per year

Countries citing papers authored by Peter Williams

Since Specialization
Citations

This map shows the geographic impact of Peter 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 Peter Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Williams more than expected).

Fields of papers citing papers by Peter Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter 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 Peter Williams. The network helps show where Peter Williams may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter 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 Peter Williams Line = papers co-authored together Peter Williams links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2015157
2 201496
3 201561
4 202037
5 200133
6 200427
7 20198
8 20194
9 20042

About Peter Williams

Peter Williams is a scholar working on Infectious Diseases, Virology, General Health Professions, Epidemiology and Public Health, Environmental and Occupational Health, having authored 9 papers that have together received 425 indexed citations. Recurring topics across this work include HIV Research and Treatment (4 papers), HIV/AIDS drug development and treatment (4 papers), HIV/AIDS Research and Interventions (4 papers), Health Literacy and Information Accessibility (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Mobile Health and mHealth Applications (2 papers), Liver Disease and Transplantation (1 paper) and Reproductive tract infections research (1 paper). The work is most often cited by research in Virology (229 citations), Infectious Diseases (275 citations), Applied Microbiology and Biotechnology (16 citations), Medical Terminology (2 citations) and Hepatology (46 citations). Peter Williams has collaborated with scholars based in United Kingdom, Belgium and United States. Frequent co-authors include William Spreen, Susan L. Ford, Marita Stevens, David M. Margolis, Yu Lou, Elizabeth Gould, Stephen C. Piscitelli, Herta Crauwels, Kimberly Y. Smith and Jerome De Vente. Their work appears in journals such as Journal of Innovation in Health Informatics, JAIDS Journal of Acquired Immune Deficiency Syndromes, PLoS Pathogens, Alimentary Pharmacology & Therapeutics and AIDS Research and Human Retroviruses.

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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