Oliver M.T. Pearce
- Molecular Biology top 5%
- Immunology top 2%
- Oncology top 5%
- Cell Biology top 5%
- Organic Chemistry top 10%
- Co-authors
- Heinz LäubliAjit VarkiFrances R. BalkwillNissi VarkiPatrick SecrestSandra DiazAnne K. BergfeldPedro R. Cutillas
- Topics
- Glycosylation and Glycoproteins Research (12 papers)Proteoglycans and glycosaminoglycans research (7 papers)Immunotherapy and Immune Responses (6 papers)
- Cited by
- ImmunologyOncologyMolecular Biology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryAngewandte Chemie International Edition
- 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
- Molecular Biology 1.3k
- Immunology 923
- Oncology 623
- Cell Biology 304
- Organic Chemistry 229
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 of co-authors of Oliver M.T. Pearce
This figure shows the co-authorship network connecting the top 25 collaborators of Oliver M.T. Pearce. A scholar is included among the top collaborators of Oliver M.T. Pearce based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Oliver M.T. Pearce. Oliver M.T. Pearce is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 14 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 60 | |
| 6 | 5 | |
| 7 | 18 | |
| 8 | 33 | |
| 9 | 19 | |
| 10 | 24 | |
| 11 | 173 | |
| 12 | 55 | |
| 13 | 172 | |
| 14 | 111 | |
| 15 | 191 | |
| 16 | 80 | |
| 17 | 351 | |
| 18 | 59 | |
| 19 | 44 | |
| 20 | 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) and Immunotherapy and Immune Responses (6 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.