Tony Hunter
Impact in
- Cell Biology top 0.5%
- Microtubule and mitosis dynamics
- Molecular Biology top 0.5%
- Signaling Pathways in Disease
- Protein Kinase Regulation and GTPase Signaling
- Ubiquitin and proteasome pathways
- DNA Repair Mechanisms
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 10
- Ubiquitin and proteasome pathways 8
- PI3K/AKT/mTOR signaling in cancer 5
- Signaling Pathways in Disease 3
- Aging 1
- Co-authors
- Steven K. HanksRichard LindbergPeter van der GeerSteven D. HanesKun Ping LuMarius SudolRandy Y.C. PoonJonathon Pines
- Journals
- Cell (5 papers)Molecular and Cellular Biology (5 papers)The FASEB Journal (3 papers)Nature (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Tony Hunter
51 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Cell Biology 1.6k
- Molecular Biology 6.5k
- Oncology 2.0k
- Aging 98
- Cancer Research 731
Countries citing papers authored by Tony Hunter
This map shows the geographic impact of Tony Hunter'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 Hunter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tony Hunter more than expected).
Fields of papers citing papers by Tony Hunter
This network shows the impact of papers produced by Tony Hunter. 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 Hunter. The network helps show where Tony Hunter may publish in the future.
Co-authors
The 25 scholars most cited alongside Tony Hunter, 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 | 2022 | 21 | |
| 2 | 2014 | 25 | |
| 3 | 2003 | 9 | |
| 4 | 2001 | 2 | |
| 5 | 2001 | 23 | |
| 6 | 1999 | 152 | |
| 7 | 1998 | 101 | |
| 8 | 1998 | 299 | |
| 9 | 1998 | 49 | |
| 10 | 1997 | 95 | |
| 11 | A human peptidyl–prolyl isomerase essential for regulation of mitosis Hit paper breakdown → | 1996 | 763 |
| 12 | 1995 | 276 | |
| 13 | 1995 | 32 | |
| 14 | 1994 | 58 | |
| 15 | Receptor Protein-Tyrosine Kinases and Their Signal Transduction Pathways Hit paper breakdown → | 1994 | 1132 |
| 16 | 1994 | 76 | |
| 17 | 1992 | 2 | |
| 18 | 1992 | 81 | |
| 19 | 1991 | 335 | |
| 20 | 1988 | 14 |
About Tony Hunter
Tony Hunter is a scholar working on Molecular Biology, Aging, Cell Biology, Oncology and Genetics, having authored 52 papers that have together received 8.6k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (10 papers), Ubiquitin and proteasome pathways (8 papers), Cancer-related Molecular Pathways (7 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Microtubule and mitosis dynamics (4 papers), Signaling Pathways in Disease (3 papers), Virus-based gene therapy research (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Cell Biology (1.6k citations), Molecular Biology (6.5k citations), Oncology (2.0k citations), Aging (98 citations) and Cancer Research (731 citations). Tony Hunter has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Steven K. Hanks, Richard Lindberg, Peter van der Geer, Steven D. Hanes, Kun Ping Lu, Marius Sudol, Randy Y.C. Poon, Jonathon Pines, Juan Zheng and Zhimin Lu. Their work appears in journals such as Cell, Molecular and Cellular Biology, The FASEB Journal, Nature and Proceedings of the National Academy of Sciences.
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.