Jonathan R. Chubb
Impact in
- Biophysics top 1%
- Molecular Biology top 2%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Gene Regulatory Network Analysis
- Single-cell and spatial transcriptomics
- RNA and protein synthesis mechanisms
- Nuclear Structure and Function
Papers in
- Biophysics 10
- Cell Image Analysis Techniques 9
- Cell Biology 15
- Cellular Mechanics and Interactions 13
- Microtubule and mitosis dynamics 7
- Co-authors
- Wendy A. BickmoreShelagh BoylePaul PerryRobert H. SingerShailesh M. ShenoyTatjana TrcekEdward TunnacliffeAdam Corrigan
- Journals
- Current Biology (8 papers)Development (8 papers)Proceedings of the National Academy of Sciences (4 papers)eLife (3 papers)PLoS ONE (3 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Jonathan R. Chubb
44 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Biophysics 261
- Molecular Biology 2.8k
- Aging 53
- Cell Biology 439
- Genetics 426
Countries citing papers authored by Jonathan R. Chubb
This map shows the geographic impact of Jonathan R. Chubb'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 R. Chubb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan R. Chubb more than expected).
Fields of papers citing papers by Jonathan R. Chubb
This network shows the impact of papers produced by Jonathan R. Chubb. 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 R. Chubb. The network helps show where Jonathan R. Chubb may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan R. Chubb, 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 | 2025 | 0 | |
| 2 | 2024 | 16 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 6 | |
| 6 | 2021 | 7 | |
| 7 | 2019 | 19 | |
| 8 | 2019 | 6 | |
| 9 | 2019 | 2 | |
| 10 | 2018 | 57 | |
| 11 | 2017 | 34 | |
| 12 | 2016 | 43 | |
| 13 | 2014 | 48 | |
| 14 | 2011 | 22 | |
| 15 | 2010 | 144 | |
| 16 | 2008 | 448 | |
| 17 | 2006 | 33 | |
| 18 | Transcriptional Pulsing of a Developmental Gene Hit paper breakdown → | 2006 | 542 |
| 19 | 2004 | 142 | |
| 20 | 2001 | 25 |
About Jonathan R. Chubb
Jonathan R. Chubb is a scholar working on Biophysics, Cell Biology, Molecular Biology, Modeling and Simulation and Pharmacy, having authored 47 papers that have together received 3.1k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (14 papers), Cellular Mechanics and Interactions (13 papers), Genomics and Chromatin Dynamics (12 papers), Single-cell and spatial transcriptomics (10 papers), Cell Image Analysis Techniques (9 papers), RNA Research and Splicing (8 papers), Pluripotent Stem Cells Research (8 papers) and Microtubule and mitosis dynamics (7 papers). The work is most often cited by research in Biophysics (261 citations), Molecular Biology (2.8k citations), Aging (53 citations), Cell Biology (439 citations) and Genetics (426 citations). Jonathan R. Chubb has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Wendy A. Bickmore, Shelagh Boyle, Paul Perry, Robert H. Singer, Shailesh M. Shenoy, Tatjana Trcek, Edward Tunnacliffe, Adam Corrigan, Tetsuya Muramoto and Robert H. Insall. Their work appears in journals such as Current Biology, Development, Proceedings of the National Academy of Sciences, eLife and PLoS ONE.
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.