Eric D. Watt

1.4k total citations
22 papers, 1.1k citations indexed

About

Eric D. Watt is a scholar working on Molecular Biology, Computational Theory and Mathematics and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Eric D. Watt has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 5 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Eric D. Watt's work include Computational Drug Discovery Methods (6 papers), Protein Structure and Dynamics (5 papers) and Advanced NMR Techniques and Applications (4 papers). Eric D. Watt is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Protein Structure and Dynamics (5 papers) and Advanced NMR Techniques and Applications (4 papers). Eric D. Watt collaborates with scholars based in United States, Denmark and United Kingdom. Eric D. Watt's co-authors include J. Patrick Loria, Hashim M. Al‐Hashimi, Richard Judson, Qi Zhang, Xiaoyan Sun, Rebecca B. Berlow, Keith A. Houck, Hiroko Shimada, Evgenii L. Kovrigin and Nicolas Doucet and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Accounts of Chemical Research.

In The Last Decade

Eric D. Watt

21 papers receiving 1.1k citations

Peers

Countries citing papers authored by Eric D. Watt

Since Specialization

Citations

This map shows the geographic impact of Eric D. Watt'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 Eric D. Watt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric D. Watt more than expected).

Fields of papers citing papers by Eric D. Watt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric D. Watt. 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 Eric D. Watt. The network helps show where Eric D. Watt may publish in the future.

Co-authorship network of co-authors of Eric D. Watt

This figure shows the co-authorship network connecting the top 25 collaborators of Eric D. Watt. A scholar is included among the top collaborators of Eric D. Watt 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 Eric D. Watt. Eric D. Watt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	CardioGenAI: a machine learning-based framework for re-engineering drugs for reduced hERG liability 2025 ·Journal of Cheminformatics ·(unknown), Matthew T. Martin, Eric D. Watt, (unknown)	5
2	A Kinetic Model for Assessing Potential Nitrosamine Carcinogenicity 2024 ·Chemical Research in Toxicology ·Shu Yu, J. Christopher McWilliams, Olivier Dirat, Krista L. Dobo, Amit S. Kalgutkar, Michelle Kenyon, Matthew T. Martin, Eric D. Watt, Maik Schuler	5
3	Analysis of non-mutagenic substances in the context of drug impurity assessment – Few are potent toxicants 2024 ·Regulatory Toxicology and Pharmacology ·Catrin Hasselgren, Michelle Kenyon, Lennart T. Anger, Paul D. Cornwell, Eric D. Watt, Joel P. Bercu	1
4	Use of high throughput ion channel profiling and statistical modeling to predict off-target arrhythmia risk - One pharma's experience and perspective 2022 ·Journal of Pharmacological and Toxicological Methods ·Eric D. Watt, (unknown), (unknown), Peter J. Kilfoil, (unknown), Christopher Keefer, Todd Wisialowski, Stephen Jenkinson	0
5	Characterization of a high throughput human stem cell cardiomyocyte assay to predict drug-induced changes in clinical electrocardiogram parameters 2021 ·European Journal of Pharmacology ·Peter J. Kilfoil, (unknown), (unknown), (unknown), Derek J. Leishman, Dingzhou Li, David J. MacEwan, Parveen Sharma, Eric D. Watt, Stephen Jenkinson	9
6	Uncertainty quantification in ToxCast high throughput screening 2018 ·PLoS ONE ·Eric D. Watt, Richard Judson	37
7	On selecting a minimal set of in vitro assays to reliably determine estrogen agonist activity 2017 ·Regulatory Toxicology and Pharmacology ·Richard Judson, Keith A. Houck, Eric D. Watt, Russell S. Thomas	44
8	QSAR models for thyroperoxidase inhibition and screening of U.S. and EU chemical inventories 2017 ·Computational Toxicology ·Sine Abildgaard Rosenberg, Eric D. Watt, Richard Judson, Steven O. Simmons, Katie Paul Friedman, Marianne Dybdahl, Nikolai Georgiev Nikolov, Eva Bay Wedebye	22
9	Development of a QSAR Model for Thyroperoxidase Inhibition and Screening of 72,524 REACH substances 2017 ·Figshare ·Sine Abildgaard Rosenberg, (unknown), Nikolai Georgiev Nikolov, Marianne Dybdahl, Steven O. Simmons, Eric D. Watt, (unknown), (unknown), (unknown), Eva Bay Wedebye, (unknown), (unknown)	1
10	Tiered High-Throughput Screening Approach to Identify Thyroperoxidase Inhibitors Within the ToxCast Phase I and II Chemical Libraries 2016 ·Toxicological Sciences ·Katie Paul Friedman, Eric D. Watt, Michael W. Hornung, Joan M. Hedge, Richard Judson, Kevin M. Crofton, Keith A. Houck, Steven O. Simmons	113
11	High-Resolution NMR Studies of Human Tissue Factor 2016 ·PLoS ONE ·(unknown), Eric D. Watt, John M. Boettcher, (unknown), James H. Morrissey, Chad M. Rienstra	4
12	Development and Validation of a Computational Model for Androgen Receptor Activity 2016 ·Chemical Research in Toxicology ·Nicole Kleinstreuer, Patricia Ceger, Eric D. Watt, Matthew T. Martin, Keith A. Houck, Patience Browne, Russell S. Thomas, Warren Casey, David J. Dix, David Allen, Srilatha Sakamuru, Menghang Xia, Ruili Huang, Richard Judson	157
13	Experimental Protein Structure Verification by Scoring with a Single, Unassigned NMR Spectrum 2015 ·Structure ·Joseph M. Courtney, Qing Ye, (unknown), Ming Tang, Marcus D. Tuttle, Eric D. Watt, (unknown), Lindsay J. Sperling, Gemma Comellas, J.R. Peterson, James H. Morrissey, Chad M. Rienstra	12
14	Recent Advances in Solid-State Nuclear Magnetic Resonance Techniques to Quantify Biomolecular Dynamics 2013 ·Analytical Chemistry ·Eric D. Watt, Chad M. Rienstra	21
15	Reengineering Rate-Limiting, Millisecond Enzyme Motions by Introduction of an Unnatural Amino Acid 2011 ·Biophysical Journal ·Eric D. Watt, Ivan Rivalta, Sean K. Whittier, Víctor S. Batista, J. Patrick Loria	14
16	The Flexibility of a Distant Loop Modulates Active Site Motion and Product Release in Ribonuclease A 2009 ·Biochemistry ·Nicolas Doucet, Eric D. Watt, J. Patrick Loria	72
17	Characterizing Complex Dynamics in the Transactivation Response Element Apical Loop and Motional Correlations with the Bulge by NMR, Molecular Dynamics, and Mutagenesis 2008 ·Biophysical Journal ·Elizabeth A. Dethoff, Alexandar L. Hansen, Catherine A. Musselman, Eric D. Watt, Ioan Andricioaei, Hashim M. Al‐Hashimi	62
18	Hydrogen exchange of monomeric α‐synuclein shows unfolded structure persists at physiological temperature and is independent of molecular crowding in Escherichia coli 2008 ·Protein Science ·(unknown), (unknown), Emma E. Watson, Eric D. Watt, Andrei T. Alexandrescu	82
19	Characterization of Enzyme Motions by Solution NMR Relaxation Dispersion 2008 ·Accounts of Chemical Research ·J. Patrick Loria, Rebecca B. Berlow, Eric D. Watt	130
20	The mechanism of rate-limiting motions in enzyme function 2007 ·Proceedings of the National Academy of Sciences ·Eric D. Watt, Hiroko Shimada, Evgenii L. Kovrigin, J. Patrick Loria	137

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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