Clinton Willis

646 total citations
15 papers, 380 citations indexed

About

Clinton Willis is a scholar working on Molecular Biology, Biophysics and Computational Theory and Mathematics. According to data from OpenAlex, Clinton Willis has authored 15 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Biophysics and 8 papers in Computational Theory and Mathematics. Recurrent topics in Clinton Willis's work include Cell Image Analysis Techniques (9 papers), Computational Drug Discovery Methods (8 papers) and Animal testing and alternatives (7 papers). Clinton Willis is often cited by papers focused on Cell Image Analysis Techniques (9 papers), Computational Drug Discovery Methods (8 papers) and Animal testing and alternatives (7 papers). Clinton Willis collaborates with scholars based in United States, Ireland and Germany. Clinton Willis's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Toxicology and Applied Pharmacology.

In The Last Decade

Clinton Willis

13 papers receiving 376 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Clinton Willis United States 9 194 130 117 97 93 15 380
Ryan Lougee United States 4 57 0.3× 49 0.4× 50 0.4× 30 0.3× 60 0.6× 6 180
Steven Hiemstra Netherlands 9 177 0.9× 12 0.1× 63 0.5× 30 0.3× 31 0.3× 11 307
Frédéric Schorsch France 12 61 0.3× 11 0.1× 25 0.2× 47 0.5× 64 0.7× 25 289
Matthew Tate United Kingdom 9 123 0.6× 12 0.1× 33 0.3× 44 0.5× 114 1.2× 15 291
Werner Bomann United States 9 196 1.0× 5 0.0× 45 0.4× 37 0.4× 77 0.8× 12 370
Matt Moeser United States 6 93 0.5× 4 0.0× 73 0.6× 35 0.4× 153 1.6× 7 316
Annett Janusch Roi Italy 3 75 0.4× 5 0.0× 37 0.3× 140 1.4× 113 1.2× 5 312
Paul E. Dunlap United States 5 146 0.8× 7 0.1× 24 0.2× 12 0.1× 65 0.7× 6 284
Bertrand Desprez France 10 34 0.2× 5 0.0× 44 0.4× 149 1.5× 101 1.1× 13 297
Richard A. Spellman United States 9 165 0.9× 12 0.1× 16 0.1× 23 0.2× 57 0.6× 16 297

Countries citing papers authored by Clinton Willis

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Clinton Willis

This figure shows the co-authorship network connecting the top 25 collaborators of Clinton Willis. A scholar is included among the top collaborators of Clinton Willis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Clinton Willis. Clinton Willis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Willis, Clinton, Derik E. Haggard, Joseph L. Bundy, et al.. (2025). Incorporating Metabolic Competence into High-Throughput Profiling Assays. Toxicological Sciences. 206(2). 313–329. 1 indexed citations
2.
Willis, Clinton, et al.. (2025). Assessing the impact of in vitro xenobiotic metabolism on estrogenic chemical bioactivity in high-throughput profiling assays. Toxicology. 517. 154215–154215. 1 indexed citations
3.
Nyffeler, Johanna, Clinton Willis, Brett R. Blackwell, et al.. (2025). A combination of high-throughput in vitro and in silico new approach methods for ecotoxicology hazard assessment for fish. Environmental Toxicology and Chemistry. 44(9). 2599–2621. 5 indexed citations
4.
Nyffeler, Johanna, et al.. (2025). Assessing the effects of silver nanoparticles on ARPE-19 cells via high-throughput phenotypic profiling with the Cell Painting assay. Toxicology and Applied Pharmacology. 502. 117444–117444. 1 indexed citations
5.
Willis, Clinton, Richard Judson, Logan J. Everett, et al.. (2025). TempO-seq and RNA-seq gene expression levels are highly correlated for most genes: A comparison using 39 human cell lines. PLoS ONE. 20(5). e0320862–e0320862.
6.
Harrill, Joshua, Logan J. Everett, Derik E. Haggard, et al.. (2024). Signature analysis of high-throughput transcriptomics screening data for mechanistic inference and chemical grouping. Toxicological Sciences. 202(1). 103–122. 10 indexed citations
7.
Bundy, Joseph L., Logan J. Everett, Johanna Nyffeler, et al.. (2024). High-Throughput Transcriptomics Screen of ToxCast Chemicals in U-2 OS Cells. Toxicology and Applied Pharmacology. 491. 117073–117073. 6 indexed citations
8.
Harrill, Joshua, Logan J. Everett, Derik E. Haggard, et al.. (2023). Exploring the effects of experimental parameters and data modeling approaches on in vitro transcriptomic point-of-departure estimates. Toxicology. 501. 153694–153694. 15 indexed citations
9.
Nyffeler, Johanna, Clinton Willis, Megan Culbreth, et al.. (2023). Application of Cell Painting for chemical hazard evaluation in support of screening-level chemical assessments. Toxicology and Applied Pharmacology. 468. 116513–116513. 36 indexed citations
10.
Culbreth, Megan, Johanna Nyffeler, Clinton Willis, & Joshua Harrill. (2022). Optimization of Human Neural Progenitor Cells for an Imaging-Based High-Throughput Phenotypic Profiling Assay for Developmental Neurotoxicity Screening. SHILAP Revista de lepidopterología. 3. 803987–803987. 8 indexed citations
11.
Nyffeler, Johanna, et al.. (2022). Combining phenotypic profiling and targeted RNA-Seq reveals linkages between transcriptional perturbations and chemical effects on cell morphology: Retinoic acid as an example. Toxicology and Applied Pharmacology. 444. 116032–116032. 16 indexed citations
12.
Harrill, Joshua, Logan J. Everett, Derik E. Haggard, et al.. (2021). High-Throughput Transcriptomics Platform for Screening Environmental Chemicals. Toxicological Sciences. 181(1). 68–89. 120 indexed citations
13.
Willis, Clinton, Johanna Nyffeler, & Joshua Harrill. (2020). Phenotypic Profiling of Reference Chemicals across Biologically Diverse Cell Types Using the Cell Painting Assay. SLAS DISCOVERY. 25(7). 755–769. 44 indexed citations
14.
Nyffeler, Johanna, Derik E. Haggard, Clinton Willis, et al.. (2020). Comparison of Approaches for Determining Bioactivity Hits from High-Dimensional Profiling Data. SLAS DISCOVERY. 26(2). 292–308. 27 indexed citations
15.
Nyffeler, Johanna, Clinton Willis, Ryan Lougee, et al.. (2019). Bioactivity screening of environmental chemicals using imaging-based high-throughput phenotypic profiling. Toxicology and Applied Pharmacology. 389. 114876–114876. 90 indexed citations

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.

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Breakdown of academic impact, for papers by Ryan Lougee Breakdown of academic impact, for papers by Steven Hiemstra Breakdown of academic impact, for papers by Frédéric Schorsch Breakdown of academic impact, for papers by Matthew Tate Breakdown of academic impact, for papers by Werner Bomann Breakdown of academic impact, for papers by Matt Moeser Breakdown of academic impact, for papers by Annett Janusch Roi Breakdown of academic impact, for papers by Paul E. Dunlap Breakdown of academic impact, for papers by Bertrand Desprez Breakdown of academic impact, for papers by Richard A. Spellman
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2026