Jon Travers
Impact in
- Oncology top 10%
- PARP inhibition in cancer therapy
- Cancer-related Molecular Pathways
- Cancer Immunotherapy and Biomarkers
-
- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- Heat shock proteins research
- Ubiquitin and proteasome pathways
Papers in
-
- Protein Degradation and Inhibitors 4
- DNA Repair Mechanisms 2
- Oncology 12
- Cancer-related Molecular Pathways 4
- CAR-T cell therapy research 3
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Paul Workman (5 shared papers)Swee Y. Sharp (1 shared paper)Stephen P. Jackson (2 shared papers)Julia Coates (1 shared paper)Takashi Ochi (1 shared paper)Carol V. Robinson (1 shared paper)Tom L. Blundell (1 shared paper)Andrew N. Blackford (1 shared paper)
- Journals
- Blood (4 papers)Molecular Cancer Therapeutics (3 papers)Cancer Research (3 papers)Nature Communications (2 papers)Cell Death and Disease (2 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Jon Travers
22 papers receiving 732 citations
Peers
Comparison fields: 5 of 84
- Oncology 267
- Molecular Biology 517
- Cancer Research 81
- Structural Biology 8
- Biophysics 28
Countries citing papers authored by Jon Travers
This map shows the geographic impact of Jon Travers'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 Jon Travers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Travers more than expected).
Fields of papers citing papers by Jon Travers
This network shows the impact of papers produced by Jon Travers. 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 Jon Travers. The network helps show where Jon Travers may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon Travers, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 253 | |
| 2 | 2021 | 93 | |
| 3 | 2011 | 91 | |
| 4 | 2007 | 67 | |
| 5 | 2015 | 63 | |
| 6 | 2018 | 54 | |
| 7 | 2018 | 28 | |
| 8 | 2023 | 21 | |
| 9 | 2013 | 17 | |
| 10 | 2021 | 10 | |
| 11 | 2010 | 8 | |
| 12 | 2024 | 6 | |
| 13 | 2011 | 6 | |
| 14 | 2019 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2019 | 5 | |
| 17 | 2025 | 3 | |
| 18 | 2018 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2018 | 1 |
About Jon Travers
Jon Travers is a scholar working on Molecular Biology, Oncology, Cell Biology, Hematology and Genetics, having authored 24 papers that have together received 740 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (9 papers), Protein Degradation and Inhibitors (4 papers), Cancer-related Molecular Pathways (4 papers), Acute Myeloid Leukemia Research (4 papers), Virus-based gene therapy research (4 papers), CAR-T cell therapy research (3 papers), DNA Repair Mechanisms (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Oncology (267 citations), Molecular Biology (517 citations), Cancer Research (81 citations), Structural Biology (8 citations) and Biophysics (28 citations). Jon Travers has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Paul Workman, Swee Y. Sharp, Stephen P. Jackson, Julia Coates, Takashi Ochi, Carol V. Robinson, Tom L. Blundell, Andrew N. Blackford, Shahid Mehmood and Satpal S. Jhujh. Their work appears in journals such as Blood, Molecular Cancer Therapeutics, Cancer Research, Nature Communications and Cell Death and Disease.
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.