Richard M. Parton
- Structural Biology top 5%
- Advanced Electron Microscopy Techniques and Applications 4
- Biophysics top 1%
- Advanced Fluorescence Microscopy Techniques 14
- Cell Image Analysis Techniques 7
- Cell Biology top 5%
- Microtubule and mitosis dynamics 3
- Aging top 10%
- Molecular Biology top 10%
- Plant Reproductive Biology 6
- RNA Research and Splicing 6
-
- Neurobiology and Insect Physiology Research 7
-
- Optical Coherence Tomography Applications 3
- Co-authors
- Ilan DavisTimothy T WeilNick D. ReadPatrick C. HickeyJan DijksterhuisIan M. DobbieAnthony TrewavasMasaaki K. Watahiki
- Journals
- Nucleic Acids Research (1 paper)The Journal of Cell Biology (1 paper)Nature Cell Biology (1 paper)
- Partner nations
- United KingdomUnited StatesPortugal
In The Last Decade
Richard M. Parton
42 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 105
- Structural Biology 71
- Biophysics 238
- Cell Biology 380
- Aging 30
- Molecular Biology 1.1k
Countries citing papers authored by Richard M. Parton
This map shows the geographic impact of Richard M. Parton'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 Richard M. Parton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard M. Parton more than expected).
Fields of papers citing papers by Richard M. Parton
This network shows the impact of papers produced by Richard M. Parton. 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 Richard M. Parton. The network helps show where Richard M. Parton may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Richard M. Parton, 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 | 2023 | 27 | |
| 2 | 2021 | 31 | |
| 3 | 2020 | 8 | |
| 4 | 2020 | 61 | |
| 5 | 2020 | 15 | |
| 6 | 2019 | 2 | |
| 7 | 2019 | 33 | |
| 8 | 2019 | 46 | |
| 9 | 2017 | 15 | |
| 10 | 2014 | 25 | |
| 11 | 2012 | 93 | |
| 12 | 2012 | 17 | |
| 13 | 2011 | 176 | |
| 14 | 2010 | 85 | |
| 15 | 2010 | 6 | |
| 16 | 2010 | 45 | |
| 17 | 2010 | 10 | |
| 18 | 2009 | 29 | |
| 19 | 2009 | 54 | |
| 20 | 2008 | 52 |
About Richard M. Parton
Richard M. Parton is a scholar working on Biophysics, Structural Biology and Cell Biology, having authored 42 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (14 papers), Neurobiology and Insect Physiology Research (7 papers), Cell Image Analysis Techniques (7 papers), Plant Reproductive Biology (6 papers), RNA Research and Splicing (6 papers), Advanced Electron Microscopy Techniques and Applications (4 papers), Optical Coherence Tomography Applications (3 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Structural Biology (71 citations), Biophysics (238 citations) and Cell Biology (380 citations). Richard M. Parton has collaborated with scholars based in United Kingdom, United States and Portugal. Frequent co-authors include Ilan Davis, Timothy T Weil, Nick D. Read, Patrick C. Hickey, Jan Dijksterhuis, Ian M. Dobbie, Anthony Trewavas, Masaaki K. Watahiki, Graeme Ball and Cathérine Rabouille. Their work appears in journals such as Nucleic Acids Research, The Journal of Cell Biology and Nature 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.