Jon Travers
Impact in
- Oncology top 10%
- PARP inhibition in cancer therapy
- Cancer-related Molecular Pathways
- Lung Cancer Research Studies
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- DNA Repair Mechanisms
- Heat shock proteins research
Papers in
- Oncology 10
- Lung Cancer Research Studies 3
- Cancer-related Molecular Pathways 2
- Cancer Immunotherapy and Biomarkers 2
- Drug Transport and Resistance Mechanisms 2
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- Microtubule and mitosis dynamics 4
- Co-authors
- Paul Workman (6 shared papers)Swee Y. Sharp (1 shared paper)Takashi Ochi (1 shared paper)Stephen P. Jackson (1 shared paper)Carol V. Robinson (1 shared paper)Julia Coates (1 shared paper)Naoka Tamura (1 shared paper)Tom L. Blundell (1 shared paper)
- Journals
- Molecular Cancer Therapeutics (2 papers)Nature Communications (2 papers)Oncotarget (2 papers)Cell Death and Disease (2 papers)Science Translational Medicine (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Jon Travers
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 69
- Oncology 254
- Molecular Biology 504
- Cell Biology 86
- Cancer Research 71
- Computational Theory and Mathematics 87
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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 251 | |
| 2 | 2020 | 153 | |
| 3 | 2018 | 152 | |
| 4 | 2021 | 101 | |
| 5 | 2011 | 96 | |
| 6 | 2007 | 77 | |
| 7 | 2015 | 73 | |
| 8 | 2018 | 55 | |
| 9 | 2018 | 27 | |
| 10 | 2021 | 26 | |
| 11 | 2023 | 26 | |
| 12 | 2013 | 19 | |
| 13 | 2023 | 17 | |
| 14 | 2012 | 13 | |
| 15 | 2021 | 12 | |
| 16 | 2010 | 9 | |
| 17 | 2024 | 8 | |
| 18 | 2011 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2019 | 5 |
About Jon Travers
Jon Travers is a scholar working on Oncology, Cell Biology, Molecular Biology, Computational Theory and Mathematics and Structural Biology, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (4 papers), Lung Cancer Research Studies (3 papers), Computational Drug Discovery Methods (2 papers), Heat shock proteins research (2 papers), Cancer-related Molecular Pathways (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cell death mechanisms and regulation (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Oncology (254 citations), Molecular Biology (504 citations), Cell Biology (86 citations), Cancer Research (71 citations) and Computational Theory and Mathematics (87 citations). Jon Travers has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Paul Workman, Swee Y. Sharp, Takashi Ochi, Stephen P. Jackson, Carol V. Robinson, Julia Coates, Naoka Tamura, Tom L. Blundell, Qian Wu and Shahid Mehmood. Their work appears in journals such as Molecular Cancer Therapeutics, Nature Communications, Oncotarget, Cell Death and Disease and Science Translational Medicine.
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.