Tony Pawson
- Molecular Biology top 0.01%
- Cell Biology top 0.01%
- Oncology top 0.05%
- Immunology top 0.05%
- Cellular and Molecular Neuroscience top 0.05%
- Co-authors
- John D. ScottGerald GishChristine EllisPiers NashMichael F. MoranJane McGladeGeraldine MbamaluJulie D. Forman‐Kay
- Topics
- Protein Kinase Regulation and GTPase Signaling (107 papers)Protein Tyrosine Phosphatases (51 papers)PI3K/AKT/mTOR signaling in cancer (49 papers)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Tony Pawson
446 papers receiving 67.3k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Molecular Biology 49.8k
- Cell Biology 13.1k
- Oncology 10.9k
- Immunology 9.8k
- Cellular and Molecular Neuroscience 8.2k
Countries citing papers authored by Tony Pawson
This map shows the geographic impact of Tony Pawson'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 Tony Pawson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tony Pawson more than expected).
Fields of papers citing papers by Tony Pawson
This network shows the impact of papers produced by Tony Pawson. 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 Tony Pawson. The network helps show where Tony Pawson may publish in the future.
Co-authorship network of co-authors of Tony Pawson
This figure shows the co-authorship network connecting the top 25 collaborators of Tony Pawson. A scholar is included among the top collaborators of Tony Pawson 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 Tony Pawson. Tony Pawson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | Histone Recognition and Large-Scale Structural Analysis of the Human Bromodomain Familybreakdown → | 1230 |
| 3 | 75 | |
| 4 | 24 | |
| 5 | A Global Protein Kinase and Phosphatase Interaction Network in Yeastbreakdown → | 512 |
| 6 | 46 | |
| 7 | 190 | |
| 8 | 78 | |
| 9 | 98 | |
| 10 | 198 | |
| 11 | 34 | |
| 12 | Dissecting virulence: Systematic and functional analyses of a pathogenicity islandbreakdown → | 511 |
| 13 | 51 | |
| 14 | 61 | |
| 15 | Shc products are substrates of erbB-2 kinase. | 99 |
| 16 | 31 | |
| 17 | 10 | |
| 18 | 16 | |
| 19 | 39 | |
| 20 | 25 |
About Tony Pawson
Tony Pawson is a scholar working on Cell Biology, Immunology and Allergy and Molecular Biology, having authored 447 papers that have together received 68.5k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (107 papers), Protein Tyrosine Phosphatases (51 papers) and PI3K/AKT/mTOR signaling in cancer (49 papers). The work is most often cited by research in Cell Biology (13.1k citations), Immunology and Allergy (4.6k citations) and Molecular Biology (49.8k citations). Tony Pawson has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include John D. Scott, Gerald Gish, Christine Ellis, Piers Nash, Michael F. Moran, Jane McGlade, Geraldine Mbamalu, Julie D. Forman‐Kay, Christine Koch and Mark Henkemeyer. Their work appears in journals such as Nature, Science and Cell.
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.