Clyde Fare
Impact in
- Urology top 5%
- Hair Growth and Disorders
- Structural Biology top 10%
Papers in
-
- Computational Drug Discovery Methods 3
- Advanced Multi-Objective Optimization Algorithms 2
-
- Machine Learning in Materials Science 3
- X-ray Diffraction in Crystallography 2
- Co-authors
- Edward O. Pyzer‐Knapp (4 shared papers)Changwon Suh (1 shared paper)James A. Warren (1 shared paper)Chih-Chiang Chen (1 shared paper)Ruth E. Baker (1 shared paper)Randall B. Widelitz (1 shared paper)Cheng‐Ming Chuong (1 shared paper)Sarah E. Millar (1 shared paper)
- Journals
- Annual Review of Materials Research (1 paper)International Journal of Heat and Mass Transfer (1 paper)PLoS Computational Biology (1 paper)npj Computational Materials (1 paper)Journal of Applied Physics (1 paper)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Clyde Fare
11 papers receiving 362 citations
Peers
Comparison fields: 5 of 88
- Urology 115
- Structural Biology 15
- Dermatology 48
- Cell Biology 78
- Biophysics 16
Countries citing papers authored by Clyde Fare
This map shows the geographic impact of Clyde Fare'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 Clyde Fare with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clyde Fare more than expected).
Fields of papers citing papers by Clyde Fare
This network shows the impact of papers produced by Clyde Fare. 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 Clyde Fare. The network helps show where Clyde Fare may publish in the future.
Co-authors
The 25 scholars most cited alongside Clyde Fare, 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 | 2011 | 163 | |
| 2 | 2020 | 69 | |
| 3 | 2022 | 54 | |
| 4 | 2017 | 21 | |
| 5 | 2022 | 20 | |
| 6 | 2017 | 13 | |
| 7 | 2017 | 13 | |
| 8 | 2020 | 8 | |
| 9 | 2020 | 6 | |
| 10 | 2020 | 1 | |
| 11 | 2022 | 1 | |
| 12 | 2024 | 0 | |
| 13 | 2024 | 0 |
About Clyde Fare
Clyde Fare is a scholar working on Computational Theory and Mathematics, Materials Chemistry, Molecular Biology, Artificial Intelligence and Biophysics, having authored 13 papers that have together received 369 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (3 papers), Computational Drug Discovery Methods (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Machine Learning in Materials Science (3 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Photosynthetic Processes and Mechanisms (2 papers), X-ray Diffraction in Crystallography (2 papers) and Nuclear Engineering Thermal-Hydraulics (1 paper). The work is most often cited by research in Urology (115 citations), Structural Biology (15 citations), Dermatology (48 citations), Cell Biology (78 citations) and Biophysics (16 citations). Clyde Fare has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Edward O. Pyzer‐Knapp, Changwon Suh, James A. Warren, Chih-Chiang Chen, Ruth E. Baker, Randall B. Widelitz, Cheng‐Ming Chuong, Sarah E. Millar, Maksim V. Plikus and Philip K. Maini. Their work appears in journals such as Annual Review of Materials Research, International Journal of Heat and Mass Transfer, PLoS Computational Biology, npj Computational Materials and Journal of Applied Physics.
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.