Peter J. Webb

750 citations
17 papers · 454 · h-index 14

Impact in

Papers in

    • Receptor Mechanisms and Signaling 4
    • Metabolism, Diabetes, and Cancer 2
    • Immune Cell Function and Interaction 3
    • Immunotherapy and Immune Responses 2

Peter J. Webb

17 papers receiving 419 citations

Peers

Peter J. Webb
Comparison fields: 5 of 82
  • Infectious Diseases 112
  • Immunology 70
  • Organic Chemistry 92
  • Epidemiology 104
  • Pharmaceutical Science 15
Replace Tomoaki Komai with:
Tomoaki Komai Japan
John K. Pratt United States
Elizabeth A. Carrey United Kingdom
H. Hoffman Australia
Dennis A. Shuman United States
D.H. Ives United States
Stefano Sainas Italy
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Sammy R. Shaver United States
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Citations per field
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Citations per year

Countries citing papers authored by Peter J. Webb

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. Webb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201881
2 198074
3 200665
4 200732
5 200724
6 201023
7 201722
8 200920
9 201918
10 198117
11 198017
12 200515
13
Quantitative studies of natural immunity to solid tumours in rats. The nature of the killer cell depends on the type of assay.
198013
14 198013
15 200212
16
Aziridinyl nitropyrroles and nitropyrazoles as hypoxia-selective cytotoxins and radiosensitizers.
19916
17 19912

About Peter J. Webb

Peter J. Webb is a scholar working on Molecular Biology, Immunology, Endocrinology, Diabetes and Metabolism, Infectious Diseases and Pharmacology, having authored 17 papers that have together received 454 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Immune Cell Function and Interaction (3 papers), Diabetes Treatment and Management (3 papers), Plant-Microbe Interactions and Immunity (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Fungal Infections and Studies (2 papers), Antifungal resistance and susceptibility (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Infectious Diseases (112 citations), Immunology (70 citations), Organic Chemistry (92 citations), Epidemiology (104 citations) and Pharmaceutical Science (15 citations). Peter J. Webb has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Colin G. Brooks, Ruoping Chen, Graeme Semple, Jeremy G. Richman, Philip J. Skinner, Susan Y. Tamura, Daniel T. Connolly, Carleton R. Sage, Graham Robinson and Robert W. Baldwin. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Cellular Immunology, The Journal of Immunology, Tetrahedron and Journal of Medicinal Chemistry.

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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