Jonathan Baxter
Impact in
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- DNA Repair Mechanisms
- Cancer therapeutics and mechanisms
- Nuclear Structure and Function
- Epigenetics and DNA Methylation
- Cell Biology top 5%
- Microtubule and mitosis dynamics
Papers in
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- Genomics and Chromatin Dynamics 13
- DNA Repair Mechanisms 9
- Cancer therapeutics and mechanisms 3
- Epigenetics and DNA Methylation 1
- Nuclear Structure and Function 1
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- Microtubule and mitosis dynamics 5
- Co-authors
- Amanda G. Fisher (4 shared papers)Matthias Merkenschlager (4 shared papers)Karen E. Brown (2 shared papers)John F.X. Diffley (2 shared papers)Daniel Graf (1 shared paper)Stephanie A. Schalbetter (7 shared papers)Luís Aragón (2 shared papers)Andrea Keszthelyi (4 shared papers)
- Journals
- Molecular Cell (5 papers)Science (2 papers)Proceedings of the National Academy of Sciences (2 papers)Nucleic Acids Research (2 papers)Current Opinion in Cell Biology (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Jonathan Baxter
21 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 50
- Molecular Biology 1.3k
- Cell Biology 182
- Immunology 91
- Genetics 87
- Virology 9
Countries citing papers authored by Jonathan Baxter
This map shows the geographic impact of Jonathan Baxter'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 Jonathan Baxter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Baxter more than expected).
Fields of papers citing papers by Jonathan Baxter
This network shows the impact of papers produced by Jonathan Baxter. 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 Jonathan Baxter. The network helps show where Jonathan Baxter may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Baxter, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 328 | |
| 2 | 2001 | 173 | |
| 3 | 2011 | 133 | |
| 4 | 2008 | 119 | |
| 5 | 2017 | 101 | |
| 6 | 2004 | 97 | |
| 7 | 2019 | 91 | |
| 8 | 2015 | 77 | |
| 9 | 2019 | 68 | |
| 10 | 2016 | 67 | |
| 11 | 2020 | 52 | |
| 12 | 2012 | 47 | |
| 13 | 2002 | 43 | |
| 14 | 2020 | 39 | |
| 15 | 2024 | 25 | |
| 16 | 2022 | 23 | |
| 17 | 2014 | 20 | |
| 18 | 2020 | 15 | |
| 19 | 2018 | 9 | |
| 20 | 2021 | 3 |
About Jonathan Baxter
Jonathan Baxter is a scholar working on Molecular Biology, Cell Biology, Immunology, Physiology and Nuclear Energy and Engineering, having authored 23 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (13 papers), DNA Repair Mechanisms (9 papers), Microtubule and mitosis dynamics (5 papers), Cancer therapeutics and mechanisms (3 papers), Epigenetics and DNA Methylation (1 paper), Telomeres, Telomerase, and Senescence (1 paper), Nuclear Structure and Function (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Molecular Biology (1.3k citations), Cell Biology (182 citations), Immunology (91 citations), Genetics (87 citations) and Virology (9 citations). Jonathan Baxter has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Amanda G. Fisher, Matthias Merkenschlager, Karen E. Brown, John F.X. Diffley, Daniel Graf, Stephanie A. Schalbetter, Luís Aragón, Andrea Keszthelyi, Geoffrey Fudenberg and Matthew J. Neale. Their work appears in journals such as Molecular Cell, Science, Proceedings of the National Academy of Sciences, Nucleic Acids Research and Current Opinion in Cell Biology.
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.