Chris Grulke

6.5k citations

43 papers · 3.6k indexed · 3 hit papers · h-index 26

Impact in

Chemical Health and Safety top 0.2%
Health, Toxicology and Mutagenesis top 0.5%
- Effects and risks of endocrine disrupting chemicals
- Toxic Organic Pollutants Impact
- Health, Environment, Cognitive Aging

Papers in

Chemical Health and Safety 1
Computational Theory and Mathematics 21
- Computational Drug Discovery Methods 21

Co-authors: Antony Williams Kamel Mansouri Richard Judson Ann M. Richard John F. Wambaugh Andrew D. McEachran Grace Patlewicz Kristin Isaacs
Journals: Journal of Cheminformatics (5 papers)Scientific Data (4 papers)Analytical and Bioanalytical Chemistry (3 papers)Environmental Health Perspectives (2 papers)Environmental Science & Technology (2 papers)
Partner nations: United States United Kingdom Switzerland

In The Last Decade

Chris Grulke

42 papers receiving 3.5k citations

Hit Papers

align trajectories log scale

OPERA models for predicting physicochemical properties and environmental fate endpoints 2018 · 419 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2018 Journal of Cheminformatics
2017 Journal of Cheminformatics
2016 Chemical Research in Toxicology

Peers

Countries citing papers authored by Chris Grulke

Since Specialization

Citations

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

Fields of papers citing papers by Chris Grulke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris Grulke. 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 Chris Grulke. The network helps show where Chris Grulke may publish in the future.

Co-authors

The 25 scholars most cited alongside Chris Grulke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chris Grulke Line = papers co-authored together Chris Grulke links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	A harmonized chemical monitoring database for support of exposure assessments Scientific Data ·Kristin Isaacs, N. Kesavan Nair, Ashley R. Williams, Kevin A. Hobbie, Jon R. Sobus, Elin M. Ulrich, David Lyons, Kathie L. Dionisio, Antony Williams, Chris Grulke, 王忠善, Jussara G. Gomes, Maria Raquel da Silva Lima	2022	13
2	Assembly and Curation of Lists of Per- and Polyfluoroalkyl Substances (PFAS) to Support Environmental Science Research Frontiers in Environmental Science ·Antony Williams, Linda G. T. Gaines, Chris Grulke, Charles N. Lowe, O. Favez, Vicente Sámano, Inthirany Thillainadarajah, Bryan Meyer, Grace Patlewicz, Ann M. Richard	2022	49
3	The effect of noise on the predictive limit of QSAR models Journal of Cheminformatics ·Scott Kolmar, Chris Grulke	2021	25
4	Predicting compound amenability with liquid chromatography-mass spectrometry to improve non-targeted analysis Analytical and Bioanalytical Chemistry ·Charles N. Lowe, Kristin Isaacs, Andrew D. McEachran, Chris Grulke, Jon R. Sobus, Elin M. Ulrich, Ann M. Richard, Alex Chao, John F. Wambaugh, Antony Williams	2021	27
5	Comparing the performance and coverage of selected in silico (liver) metabolism tools relative to reported studies in the literature to inform analogue selection in read-across: A case study Computational Toxicology ·A Hadinia, Brian N. Meyer, Chris Grulke, Lucina E. Lizarraga, Grace Patlewicz	2021	23
6	Revisiting Five Years of CASMI Contests with EPA Identification Tools Metabolites ·Andrew D. McEachran, Alex Chao, Joachim Geiberger, Charles N. Lowe, Chris Grulke, Jon R. Sobus, Antony Williams	2020	15
7	Database of pharmacokinetic time-series data and parameters for 144 environmental chemicals Scientific Data ·Risa Sayre, John F. Wambaugh, Chris Grulke	2020	42
8	US-EPA CompTox Chemicals Dashboard – integrating chemistry and biology data to serve computational toxicology and environmental science Figshare ·Antony Williams, Chris Grulke, Ann M. Richard, Richard Judson, Imran Shah, Grace Patlewicz, John F. Wambaugh, Katie Paul Friedman, Jiatong Wu, Jeff Edwards	2019	1
9	Linking in silico MS/MS spectra with chemistry data to improve identification of unknowns Scientific Data ·Andrew D. McEachran, Ilya A. Balabin, Tommy Cathey, Thomas R. Transue, Joachim Geiberger, Chris Grulke, Jon R. Sobus, Antony Williams	2019	35
10	Open-source QSAR models for pKa prediction using multiple machine learning approaches Journal of Cheminformatics ·Kamel Mansouri, Neal F. Cariello, Alexandru Korotcov, Valery Tkachenko, Chris Grulke, Catherine S. Sprankle, David Allen, Warren Casey, Nicole Kleinstreuer, Antony Williams	2019	119
11	EPA’s DSSTox database: History of development of a curated chemistry resource supporting computational toxicology research Computational Toxicology ·Chris Grulke, Antony Williams, 存元久, Ann M. Richard	2019	123
12	Rapid experimental measurements of physicochemical properties to inform models and testing The Science of The Total Environment ·Patrick Viterbo, Kamel Mansouri, Katherine A. Phillips, Chris Grulke, Ann M. Richard, Antony Williams, James R. Rabinowitz, Kristin Isaacs, Alice Yau, John F. Wambaugh	2018	16
13	“MS-Ready” structures for non-targeted high-resolution mass spectrometry screening studies Journal of Cheminformatics ·Andrew D. McEachran, Kamel Mansouri, Chris Grulke, Emma Schymanski, Christoph Ruttkies, Antony Williams	2018	58
14	OPERA models for predicting physicochemical properties and environmental fate endpoints Journal of Cheminformatics ·Kamel Mansouri, Chris Grulke, Richard Judson, Antony Williams Hit paper breakdown →	2018	419
15	Predicting in vivo effect levels for repeat-dose systemic toxicity using chemical, biological, kinetic and study covariates Archives of Toxicology ·Lisa Truong, Gladys Ouédraogo, Ly Pham, 金魏, Shishi Meng, 高橋庸一郎, Gregorius Dwi Setya Kotten, Woodrow Setzer, Richard Judson, Chris Grulke, Kamel Mansouri, Matthew T. Martin	2017	9
16	The CompTox Chemistry Dashboard: a community data resource for environmental chemistry Journal of Cheminformatics ·Antony Williams, Chris Grulke, Jeff Edwards, Andrew D. McEachran, Kamel Mansouri, Nancy Baker, Grace Patlewicz, Imran Shah, John F. Wambaugh, Richard Judson, Ann M. Richard Hit paper breakdown →	2017	789
17	Integrating tools for non-targeted analysis research and chemical safety evaluations at the US EPA Journal of Exposure Science & Environmental Epidemiology ·Jon R. Sobus, John F. Wambaugh, Kristin Isaacs, Antony Williams, Andrew D. McEachran, Ann M. Richard, Chris Grulke, Elin M. Ulrich, Julia E. Rager, Mark J. Strynar, Seth Newton	2017	159
18	Developing a Physiologically-Based Pharmacokinetic Model Knowledgebase in Support of Provisional Model Construction PLoS Computational Biology ·Jingtao Lu, Michael‐Rock Goldsmith, Chris Grulke, Daniel T. Chang, Raina D. Brooks, Jeremy A. Leonard, Martin B. Phillips, Marcelo Esteban Calispa-Aguilar, Kris Geukens, Rogelio Tornero‐Velez, O. Lisnichenko, 吳奉錫, Yu‐Mei Tan	2016	34
19	Linking high resolution mass spectrometry data with exposure and toxicity forecasts to advance high-throughput environmental monitoring Environment International ·Julia E. Rager, Mark J. Strynar, Shuang Liang, Rebecca L. McMahen, Ann M. Richard, Chris Grulke, John F. Wambaugh, Kristin Isaacs, Richard Judson, Antony Williams, Jon R. Sobus	2016	145
20	PROcEED: Probabilistic reverse dosimetry approaches for estimating exposure distributions Bioinformation ·Chris Grulke, 汪火生, Michael‐Rock Goldsmith, Yu‐Mei Tan	2013	2

About Chris Grulke

Chris Grulke is a scholar working on Chemical Health and Safety, Computational Theory and Mathematics, Health, Toxicology and Mutagenesis, Small Animals and Environmental Chemistry, having authored 43 papers that have together received 3.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (21 papers), Effects and risks of endocrine disrupting chemicals (14 papers), Metabolomics and Mass Spectrometry Studies (8 papers), Animal testing and alternatives (6 papers), Analytical Chemistry and Chromatography (5 papers), Advanced Chemical Sensor Technologies (5 papers), Chemistry and Chemical Engineering (5 papers) and Toxic Organic Pollutants Impact (5 papers). The work is most often cited by research in Chemical Health and Safety (120 citations), Health, Toxicology and Mutagenesis (1.7k citations), Computational Theory and Mathematics (1.0k citations), Environmental Chemistry (549 citations) and Small Animals (387 citations). Chris Grulke has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Antony Williams, Kamel Mansouri, Richard Judson, Ann M. Richard, John F. Wambaugh, Andrew D. McEachran, Grace Patlewicz, Kristin Isaacs, Imran Shah and Nancy Baker. Their work appears in journals such as Journal of Cheminformatics, Scientific Data, Analytical and Bioanalytical Chemistry, Environmental Health Perspectives and Environmental Science & Technology.

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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