Tristan I. Croll
- Structural Biology top 0.5%
- Advanced Electron Microscopy Techniques and Applications 5
- Molecular Biology top 1%
- Protein Structure and Dynamics 16
- Photosynthetic Processes and Mechanisms 5
- Infectious Diseases top 1%
- Surfaces, Coatings and Films top 2%
- Cell Biology top 2%
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- Enzyme Structure and Function 16
- Machine Learning in Materials Science 4
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- Bone Tissue Engineering Materials 7
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- Tissue Engineering and Regenerative Medicine 5
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- Electrospun Nanofibers in Biomedical Applications 5
- Co-authors
- Eric F. PettersenConrad C. HuangElaine C. MengThomas E. FerrinJohn H. MorrisGregory S. CouchThomas D. GoddardJustin J. Cooper‐White
- Journals
- Nature (2 papers)Science (2 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Tristan I. Croll
65 papers receiving 9.4k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Structural Biology 388
- Molecular Biology 5.6k
- Infectious Diseases 1.0k
- Surfaces, Coatings and Films 278
- Cell Biology 644
Countries citing papers authored by Tristan I. Croll
This map shows the geographic impact of Tristan I. Croll'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 I. Croll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tristan I. Croll more than expected).
Fields of papers citing papers by Tristan I. Croll
This network shows the impact of papers produced by Tristan I. Croll. 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 I. Croll. The network helps show where Tristan I. Croll may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tristan I. Croll, 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 | 2024 | 4 | |
| 2 | 2023 | 34 | |
| 3 | 2023 | 2 | |
| 4 | Structural basis of SARS-CoV-2 Omicron immune evasion and receptor engagementbreakdown → | 2022 | 311 |
| 5 | 2022 | 28 | |
| 6 | 2021 | 19 | |
| 7 | 2021 | 37 | |
| 8 | 2021 | 69 | |
| 9 | 2021 | 51 | |
| 10 | 2021 | 14 | |
| 11 | 2020 | 124 | |
| 12 | 2020 | 54 | |
| 13 | 2020 | 8 | |
| 14 | 2019 | 12 | |
| 15 | 2019 | 27 | |
| 16 | 2017 | 24 | |
| 17 | 2016 | 6 | |
| 18 | 2016 | 93 | |
| 19 | 2013 | 2 | |
| 20 | 2006 | 3 |
About Tristan I. Croll
Tristan I. Croll is a scholar working on Structural Biology, Filtration and Separation and Biomaterials, having authored 68 papers that have together received 9.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (16 papers), Enzyme Structure and Function (16 papers), Bone Tissue Engineering Materials (7 papers), Tissue Engineering and Regenerative Medicine (5 papers), Advanced Electron Microscopy Techniques and Applications (5 papers), Photosynthetic Processes and Mechanisms (5 papers), Electrospun Nanofibers in Biomedical Applications (5 papers) and Machine Learning in Materials Science (4 papers). The work is most often cited by research in Structural Biology (388 citations), Molecular Biology (5.6k citations) and Infectious Diseases (1.0k citations). Tristan I. Croll has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Eric F. Pettersen, Conrad C. Huang, Elaine C. Meng, Thomas E. Ferrin, John H. Morris, Gregory S. Couch, Thomas D. Goddard, Justin J. Cooper‐White, Geoffrey W. Stevens and Andrea J. O’Connor. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.