Tristan Ursell
- Molecular Biology top 5%
- Lipid Membrane Structure and Behavior 6
- Endocrinology top 5%
- Genetics top 5%
- Bacterial Genetics and Biotechnology 6
- Evolution and Genetic Dynamics 3
- Structural Biology top 10%
- Biophysics top 5%
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- Bacteriophages and microbial interactions 5
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- Ecosystem dynamics and resilience 4
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- Microfluidic and Bio-sensing Technologies 4
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- Force Microscopy Techniques and Applications 3
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- Micro and Nano Robotics 3
- Co-authors
- Rob PhillipsG. Jeffrey SnyderPierre SensPaul A. WigginsKerwyn Casey HuangRussell D. MondsWilliam S. KlugGabriel Billings
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (4 papers)Physical Review Letters (2 papers)
- Partner nations
- United StatesFranceRussia
In The Last Decade
Tristan Ursell
23 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Molecular Biology 1.4k
- Endocrinology 78
- Genetics 410
- Structural Biology 20
- Biophysics 76
Countries citing papers authored by Tristan Ursell
This map shows the geographic impact of Tristan Ursell'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 Tristan Ursell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tristan Ursell more than expected).
Fields of papers citing papers by Tristan Ursell
This network shows the impact of papers produced by Tristan Ursell. 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 Tristan Ursell. The network helps show where Tristan Ursell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tristan Ursell, 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 | 2 | |
| 2 | 2021 | 7 | |
| 3 | 2021 | 6 | |
| 4 | 2018 | 74 | |
| 5 | 2017 | 91 | |
| 6 | 2015 | 16 | |
| 7 | 2014 | 178 | |
| 8 | 2014 | 46 | |
| 9 | 2014 | 38 | |
| 10 | 2014 | 63 | |
| 11 | 2014 | 54 | |
| 12 | 2013 | 29 | |
| 13 | 2012 | 48 | |
| 14 | 2011 | 28 | |
| 15 | 2011 | 11 | |
| 16 | Emerging roles for lipids in shaping membrane-protein functionbreakdown → | 2009 | 805 |
| 17 | 2009 | 118 | |
| 18 | 2008 | 45 | |
| 19 | 2007 | 90 | |
| 20 | Thermoelectric Efficiency and Compatibilitybreakdown → | 2003 | 485 |
About Tristan Ursell
Tristan Ursell is a scholar working on Genetics, Condensed Matter Physics and Molecular Biology, having authored 23 papers that have together received 2.3k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (6 papers), Bacterial Genetics and Biotechnology (6 papers), Bacteriophages and microbial interactions (5 papers), Ecosystem dynamics and resilience (4 papers), Microfluidic and Bio-sensing Technologies (4 papers), Force Microscopy Techniques and Applications (3 papers), Micro and Nano Robotics (3 papers) and Evolution and Genetic Dynamics (3 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Endocrinology (78 citations) and Genetics (410 citations). Tristan Ursell has collaborated with scholars based in United States, France and Russia. Frequent co-authors include Rob Phillips, G. Jeffrey Snyder, Pierre Sens, Paul A. Wiggins, Kerwyn Casey Huang, Russell D. Monds, William S. Klug, Gabriel Billings, Zemer Gitai and Alexandre Colavin. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.