Bill Webb
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
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- Sphingolipid Metabolism and Signaling
- Lipid Membrane Structure and Behavior
- Inflammasome and immune disorders
Papers in
-
- Metabolomics and Mass Spectrometry Studies 2
- Sphingolipid Metabolism and Signaling 2
- Genomics and Phylogenetic Studies 2
- Ecology 4
- Marine animal studies overview 2
- Co-authors
- Nathanael S. Gray (2 shared papers)Hugh Rosen (2 shared papers)Sophie Lefebvre (1 shared paper)Jerold Chun (1 shared paper)Jiayu Liao (1 shared paper)Christopher Alfonso (1 shared paper)Marta Sanna (1 shared paper)Euijung Jo (1 shared paper)
- Journals
- Canadian Journal of Zoology (2 papers)Analytical Chemistry (2 papers)The Astrophysical Journal Letters (1 paper)mSystems (1 paper)Nature Protocols (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Bill Webb
14 papers receiving 918 citations
Bill Webb's Hit Papers
Peers
Comparison fields: 5 of 91
- Immunology 314
- Molecular Biology 622
- Physiology 37
- Cell Biology 122
- Neurology 40
Countries citing papers authored by Bill Webb
This map shows the geographic impact of Bill 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 Bill Webb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bill Webb more than expected).
Fields of papers citing papers by Bill Webb
This network shows the impact of papers produced by Bill 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 Bill Webb. The network helps show where Bill Webb may publish in the future.
Co-authors
The 25 scholars most cited alongside Bill Webb, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Sphingosine 1-Phosphate (S1P) Receptor Subtypes S1P1 and S1P3, Respectively, Regulate Lymphocyte Recirculation and Heart Rate Hit paper breakdown → | 2004 | 530 |
| 2 | 2014 | 187 | |
| 3 | 2015 | 40 | |
| 4 | 2008 | 34 | |
| 5 | 2020 | 33 | |
| 6 | 1983 | 22 | |
| 7 | 2021 | 22 | |
| 8 | 2021 | 20 | |
| 9 | 2020 | 13 | |
| 10 | 2020 | 12 | |
| 11 | 2023 | 10 | |
| 12 | 1984 | 6 | |
| 13 | 2021 | 6 | |
| 14 | 2023 | 6 | |
| 15 | 2025 | 0 |
About Bill Webb
Bill Webb is a scholar working on Molecular Biology, Ecology, Immunology, Spectroscopy and Nutrition and Dietetics, having authored 15 papers that have together received 941 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Marine animal studies overview (2 papers), T-cell and B-cell Immunology (2 papers), Infant Nutrition and Health (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Sphingolipid Metabolism and Signaling (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Immunology (314 citations), Molecular Biology (622 citations), Physiology (37 citations), Cell Biology (122 citations) and Neurology (40 citations). Bill Webb has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Nathanael S. Gray, Hugh Rosen, Sophie Lefebvre, Jerold Chun, Jiayu Liao, Christopher Alfonso, Marta Sanna, Euijung Jo, Min-Young Ahn and Luc Teyton. Their work appears in journals such as Canadian Journal of Zoology, Analytical Chemistry, The Astrophysical Journal Letters, mSystems and Nature Protocols.
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.