Wayne Pearce
Impact in
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
- Immunology top 1%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Mast cells and histamine
- Immunodeficiency and Autoimmune Disorders
Papers in ⓘ
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- Immune Cell Function and Interaction 4
- Phagocytosis and Immune Regulation 3
- T-cell and B-cell Immunology 3
- Genetics 4
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 3
- Co-authors
- Bart Vanhaesebroeck (25 shared papers)Klaus Okkenhaug (7 shared papers)Sara Sancho (4 shared papers)Stephen Meek (3 shared papers)Emma Peskett (3 shared papers)Andrew J. H. Smith (2 shared papers)Antonio Bilancio (4 shared papers)Ashreena Salpekar (2 shared papers)
- Journals
- Nature (4 papers)The Journal of Immunology (3 papers)Proceedings of the National Academy of Sciences (3 papers)Biochemical Journal (2 papers)Blood (1 paper)
- Partner nations
- United KingdomSwitzerlandFrance
In The Last Decade
Wayne Pearce
28 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Genetics 815
- Immunology 1.6k
- Molecular Biology 2.1k
- Oncology 808
- Aging 46
Countries citing papers authored by Wayne Pearce
This map shows the geographic impact of Wayne Pearce'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 Wayne Pearce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne Pearce more than expected).
Fields of papers citing papers by Wayne Pearce
This network shows the impact of papers produced by Wayne Pearce. 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 Wayne Pearce. The network helps show where Wayne Pearce may publish in the future.
Co-authors
The 25 scholars most cited alongside Wayne Pearce, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Impaired B and T Cell Antigen Receptor Signaling in p110δ PI 3-Kinase Mutant Mice Hit paper breakdown → | 2002 | 761 |
| 2 | 2008 | 414 | |
| 3 | 2014 | 397 | |
| 4 | 2006 | 369 | |
| 5 | 2004 | 332 | |
| 6 | 2006 | 249 | |
| 7 | 2012 | 148 | |
| 8 | 2008 | 99 | |
| 9 | 2007 | 98 | |
| 10 | 2007 | 96 | |
| 11 | 2002 | 82 | |
| 12 | 2013 | 73 | |
| 13 | 2001 | 69 | |
| 14 | 2015 | 62 | |
| 15 | 2005 | 57 | |
| 16 | 1999 | 57 | |
| 17 | 2013 | 56 | |
| 18 | 2011 | 54 | |
| 19 | 2019 | 42 | |
| 20 | 2005 | 40 |
About Wayne Pearce
Wayne Pearce is a scholar working on Immunology, Genetics, Cancer Research, Molecular Biology and Oncology, having authored 30 papers that have together received 3.7k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (9 papers), Immune Cell Function and Interaction (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Phagocytosis and Immune Regulation (3 papers), Renal and related cancers (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), T-cell and B-cell Immunology (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Genetics (815 citations), Immunology (1.6k citations), Molecular Biology (2.1k citations), Oncology (808 citations) and Aging (46 citations). Wayne Pearce has collaborated with scholars based in United Kingdom, Switzerland and France. Frequent co-authors include Bart Vanhaesebroeck, Klaus Okkenhaug, Sara Sancho, Stephen Meek, Emma Peskett, Andrew J. H. Smith, Antonio Bilancio, Ashreena Salpekar, Lazaros C. Foukas and Khaled Ali. Their work appears in journals such as Nature, The Journal of Immunology, Proceedings of the National Academy of Sciences, Biochemical Journal and Blood.
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.