Oliver M.T. Pearce
- Immunology top 2%
- Immunotherapy and Immune Responses 6
- Immune cells in cancer 6
- Oncology top 5%
- Cancer Cells and Metastasis 5
- Cancer Immunotherapy and Biomarkers 5
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 12
- Fibroblast Growth Factor Research 3
- Cell Biology top 5%
- Proteoglycans and glycosaminoglycans research 7
- Reproductive Medicine top 5%
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- Virus-based gene therapy research 4
- Co-authors
- Heinz LäubliAjit VarkiFrances R. BalkwillNissi VarkiPatrick SecrestSandra DiazAnne K. BergfeldPedro R. Cutillas
- Cited by
- ImmunologyOncologyMolecular Biology
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Journal of Biological Chemistry (4 papers)Angewandte Chemie International Edition (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Oliver M.T. Pearce
41 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 123
- Immunology 923
- Oncology 623
- Molecular Biology 1.3k
- Cell Biology 304
- Reproductive Medicine 143
Countries citing papers authored by Oliver M.T. Pearce
This map shows the geographic impact of Oliver M.T. 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 Oliver M.T. Pearce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver M.T. Pearce more than expected).
Fields of papers citing papers by Oliver M.T. Pearce
This network shows the impact of papers produced by Oliver M.T. 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 Oliver M.T. Pearce. The network helps show where Oliver M.T. Pearce may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Oliver M.T. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 14 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 7 | |
| 5 | 2023 | 60 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 18 | |
| 8 | 2021 | 33 | |
| 9 | 2021 | 19 | |
| 10 | 2021 | 24 | |
| 11 | 2020 | 173 | |
| 12 | 2018 | 55 | |
| 13 | 2016 | 172 | |
| 14 | 2016 | 111 | |
| 15 | 2015 | 191 | |
| 16 | 2015 | 80 | |
| 17 | 2015 | 351 | |
| 18 | 2012 | 59 | |
| 19 | 2012 | 44 | |
| 20 | 2010 | 17 |
About Oliver M.T. Pearce
Oliver M.T. Pearce is a scholar working on Immunology, Cell Biology and Oncology, having authored 43 papers that have together received 2.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (12 papers), Proteoglycans and glycosaminoglycans research (7 papers), Immunotherapy and Immune Responses (6 papers), Immune cells in cancer (6 papers), Cancer Cells and Metastasis (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Virus-based gene therapy research (4 papers) and Fibroblast Growth Factor Research (3 papers). The work is most often cited by research in Immunology (923 citations), Oncology (623 citations) and Molecular Biology (1.3k citations). Oliver M.T. Pearce has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Heinz Läubli, Ajit Varki, Frances R. Balkwill, Nissi Varki, Patrick Secrest, Sandra Diaz, Anne K. Bergfeld, Pedro R. Cutillas, Annie N. Samraj and R. Thompson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.
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.