Clinton Willis
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Small Animals top 5%
- Animal testing and alternatives
Papers in
-
- bioluminescence and chemiluminescence research 4
- Molecular Biology Techniques and Applications 3
- Single-cell and spatial transcriptomics 1
-
- Cell Image Analysis Techniques 9
- Co-authors
- Joshua Harrill (15 shared papers)Johanna Nyffeler (9 shared papers)Logan J. Everett (9 shared papers)Katie Paul Friedman (5 shared papers)Richard Judson (7 shared papers)Derik E. Haggard (8 shared papers)Imran Shah (6 shared papers)Joseph L. Bundy (6 shared papers)
- Journals
- Toxicology and Applied Pharmacology (5 papers)Toxicological Sciences (3 papers)SLAS DISCOVERY (2 papers)Toxicology (2 papers)Environmental Toxicology and Chemistry (1 paper)
- Partner nations
- United StatesIrelandGermany
In The Last Decade
Clinton Willis
13 papers receiving 376 citations
Peers
Comparison fields: 5 of 69
- Biophysics 130
- Small Animals 97
- Computational Theory and Mathematics 117
- Health, Toxicology and Mutagenesis 93
- Environmental Chemistry 28
Countries citing papers authored by Clinton Willis
This map shows the geographic impact of Clinton Willis'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 Clinton Willis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clinton Willis more than expected).
Fields of papers citing papers by Clinton Willis
This network shows the impact of papers produced by Clinton Willis. 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 Clinton Willis. The network helps show where Clinton Willis may publish in the future.
Co-authors
The 25 scholars most cited alongside Clinton Willis, 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 | 2021 | 120 | |
| 2 | 2019 | 90 | |
| 3 | 2020 | 44 | |
| 4 | 2023 | 36 | |
| 5 | 2020 | 27 | |
| 6 | 2022 | 16 | |
| 7 | 2023 | 15 | |
| 8 | 2024 | 10 | |
| 9 | 2022 | 8 | |
| 10 | 2024 | 6 | |
| 11 | 2025 | 5 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 0 |
About Clinton Willis
Clinton Willis is a scholar working on Molecular Biology, Biophysics, Computational Theory and Mathematics, Small Animals and Health, Toxicology and Mutagenesis, having authored 15 papers that have together received 380 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (9 papers), Computational Drug Discovery Methods (8 papers), Animal testing and alternatives (7 papers), bioluminescence and chemiluminescence research (4 papers), Molecular Biology Techniques and Applications (3 papers), Effects and risks of endocrine disrupting chemicals (2 papers), 3D Printing in Biomedical Research (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Biophysics (130 citations), Small Animals (97 citations), Computational Theory and Mathematics (117 citations), Health, Toxicology and Mutagenesis (93 citations) and Environmental Chemistry (28 citations). Clinton Willis has collaborated with scholars based in United States, Ireland and Germany. Frequent co-authors include Joshua Harrill, Johanna Nyffeler, Logan J. Everett, Katie Paul Friedman, Richard Judson, Derik E. Haggard, Imran Shah, Joseph L. Bundy, Ann M. Richard and Ryan Lougee. Their work appears in journals such as Toxicology and Applied Pharmacology, Toxicological Sciences, SLAS DISCOVERY, Toxicology and Environmental Toxicology and Chemistry.
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.