Peter J. Webb

20 papers receiving 618 citations

Peers

Peter J. Webb
Comparison fields: 5 of 84
  • Infectious Diseases 123
  • Cellular and Molecular Neuroscience 84
  • Organic Chemistry 131
  • Molecular Biology 286
  • Immunology 85
Replace Tomoaki Komai with:
Tomoaki Komai Japan
Margaret E. Olson United States
Agnese Chiara Pippione Italy
Ian G. Stansfield Italy
Christopher Moxham United States
Richard A. Nugent United States
János Seprődi Hungary
Weixu Zhai United States
Christopher P. Laudeman United States
Adrien Herlédan France
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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

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201890
2 200887
3 198078
4 200671
5 201249
6 200735
7 201028
8 200727
9 200724
10 201923
11 201723
12 200521
13 198020
14 200920
15 198119
16 198016
17
Quantitative studies of natural immunity to solid tumours in rats. The nature of the killer cell depends on the type of assay.
198013
18 200213
19
Aziridinyl nitropyrroles and nitropyrazoles as hypoxia-selective cytotoxins and radiosensitizers.
19917
20 20196

About Peter J. Webb

Peter J. Webb is a scholar working on Immunology, Endocrinology, Diabetes and Metabolism, Pharmacology, Molecular Biology and Infectious Diseases, having authored 21 papers that have together received 670 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Diabetes Treatment and Management (5 papers), Antifungal resistance and susceptibility (3 papers), Neuropeptides and Animal Physiology (3 papers), Immune Cell Function and Interaction (3 papers), Fungal Infections and Studies (2 papers), Plant-Microbe Interactions and Immunity (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Infectious Diseases (123 citations), Cellular and Molecular Neuroscience (84 citations), Organic Chemistry (131 citations), Molecular Biology (286 citations) and Immunology (85 citations). Peter J. Webb has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Colin G. Brooks, Jeremy G. Richman, Graeme Semple, Ruoping Chen, Philip J. Skinner, Susan Y. Tamura, Daniel T. Connolly, Carleton R. Sage, Robert W. Baldwin and R. A. Robins. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Cellular Immunology, European Journal of Immunology and Antimicrobial Agents and 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.

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