Prachi Pradeep

845 citations

25 papers · 506 · h-index 15

Impact in

Chemical Health and Safety top 5%
Small Animals top 5%
- Animal testing and alternatives

Papers in

Computational Theory and Mathematics 16
- Computational Drug Discovery Methods 16
Health, Toxicology and Mutagenesis 13
- Effects and risks of endocrine disrupting chemicals 10
- Toxic Organic Pollutants Impact 3
- Air Quality and Health Impacts 2

Co-authors: Grace Patlewicz (10 shared papers)Richard Judson (12 shared papers)Imran Shah (1 shared paper)Katie Paul Friedman (3 shared papers)Stephen J. Merrill (5 shared papers)Richard J. Povinelli (2 shared papers)Shannon M. White (2 shared papers)John F. Wambaugh (3 shared papers)
Journals: Regulatory Toxicology and Pharmacology (4 papers)Toxics (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)Journal of Exposure Science & Environmental Epidemiology (1 paper)Statistics in Medicine (1 paper)
Partner nations: United States Germany Japan

In The Last Decade

Prachi Pradeep

23 papers receiving 492 citations

Peers

Countries citing papers authored by Prachi Pradeep

Since Specialization

Citations

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

Fields of papers citing papers by Prachi Pradeep

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Prachi Pradeep, 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 Prachi Pradeep Line = papers co-authored together Prachi Pradeep links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Navigating through the minefield of read-across tools: A review of in silico tools for grouping Computational Toxicology ·Grace Patlewicz, George Helman, Prachi Pradeep, Imran Shah	2017	86
2	An ensemble model of QSAR tools for regulatory risk assessment Journal of Cheminformatics ·Prachi Pradeep, Richard J. Povinelli, Shannon M. White, Stephen J. Merrill	2016	52
3	Variability in in vivo studies: Defining the upper limit of performance for predictions of systemic effect levels Computational Toxicology ·Ly Pham, Sean Watford, Prachi Pradeep, Matthew T. Martin, Russell S. Thomas, Richard Judson, R. Woodrow Setzer, Katie Paul Friedman	2020	50
4	AI and ML-based risk assessment of chemicals: predicting carcinogenic risk from chemical-induced genomic instability Frontiers in Toxicology ·Ajay Vikram Singh, Preeti Bhardwaj, Peter Laux, Prachi Pradeep, (unknown), Andreas Luch, Akihiko Hirose, Christopher Osgood, Michael W. Stacey	2024	42
5	A Machine Learning Model to Estimate Toxicokinetic Half-Lives of Per- and Polyfluoro-Alkyl Substances (PFAS) in Multiple Species Toxics ·Daniel E. Dawson, Christopher Lau, Prachi Pradeep, Risa Sayre, Richard Judson, Rogelio Tornero‐Velez, John F. Wambaugh	2023	35
6	Structure-based QSAR models to predict repeat dose toxicity points of departure Computational Toxicology ·Prachi Pradeep, Katie Paul Friedman, Richard Judson	2020	35
7	Using chemical structure information to develop predictive models for in vitro toxicokinetic parameters to inform high-throughput risk-assessment Computational Toxicology ·Prachi Pradeep, Grace Patlewicz, Robert G. Pearce, John F. Wambaugh, Barbara A. Wetmore, Richard Judson	2020	33
8	Predicting estrogen receptor activation by a group of substituted phenols: An integrated approach to testing and assessment case study Regulatory Toxicology and Pharmacology ·Francina Webster, Matthew Gagné, Grace Patlewicz, Prachi Pradeep, Nicholas R. Trefiak, Richard Judson, Tara S. Barton‐Maclaren	2019	24
9	An evaluation of existing QSAR models and structural alerts and development of new ensemble models for genotoxicity using a newly compiled experimental dataset Computational Toxicology ·Prachi Pradeep, Richard Judson, David M. DeMarini, Nagalakshmi Keshava, Todd M. Martin, Jeffry L. Dean, Catherine F. Gibbons, Anita Simha, Sarah H. Warren, Maureen R. Gwinn, Grace Patlewicz	2021	21
10	Evaluating potential refinements to existing Threshold of Toxicological Concern (TTC) values for environmentally-relevant compounds Regulatory Toxicology and Pharmacology ·Mark Nelms, Prachi Pradeep, Grace Patlewicz	2019	18
11	Estimating uncertainty in the context of new approach methodologies for potential use in chemical safety evaluation Current Opinion in Toxicology ·Ly Pham, Thomas Sheffield, Prachi Pradeep, Jason Brown, Derik E. Haggard, John F. Wambaugh, Richard Judson, Katie Paul Friedman	2019	17
12	A systematic evaluation of analogs and automated read-across prediction of estrogenicity: A case study using hindered phenols Computational Toxicology ·Prachi Pradeep, Kamel Mansouri, Grace Patlewicz, Richard Judson	2017	16
13	Deriving a provisional tolerable intake for intravenous exposure to silver nanoparticles released from medical devices Regulatory Toxicology and Pharmacology ·Laura C. Savery, René Viñas, Amber Nagy, Prachi Pradeep, Stephen J. Merrill, Alan M. Hood, S.G. Malghan, Peter L. Goering, Ronald P. Brown	2017	14
14	Integrating data gap filling techniques: A case study predicting TEFs for neurotoxicity TEQs to facilitate the hazard assessment of polychlorinated biphenyls Regulatory Toxicology and Pharmacology ·Prachi Pradeep, Laura M. Carlson, Richard Judson, Geniece M. Lehmann, Grace Patlewicz	2018	14
15	Integrating endocrine-related health effects into comparative human toxicity characterization The Science of The Total Environment ·Yasmine Emara, Peter Fantke, Richard Judson, Xiaoqing Chang, Prachi Pradeep, Annekatrin Lehmann, Marc‐William Siegert, Matthias Finkbeiner	2020	14
16	Novel Uses of In Vitro Data to Develop Quantitative Biological Activity Relationship Models for in Vivo Carcinogenicity Prediction Molecular Informatics ·Prachi Pradeep, Richard J. Povinelli, Stephen J. Merrill, Serdar Bozdag, Daniel S. Sem	2015	9
17	A Novel Scoring Based Distributed Protein Docking Application to Improve Enrichment IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Prachi Pradeep, Craig A. Struble, Terrence S. Neumann, Daniel S. Sem, Stephen J. Merrill	2015	8
18	Integrating publicly available information to screen potential candidates for chemical prioritization under the Toxic Substances Control Act: A proof of concept case study using genotoxicity and carcinogenicity Computational Toxicology ·Grace Patlewicz, Jeffry L. Dean, Catherine F. Gibbons, Richard Judson, Nagalakshmi Keshava, Leora Vegosen, Todd M. Martin, Prachi Pradeep, Anita Simha, Sarah H. Warren, Maureen R. Gwinn, David M. DeMarini	2021	6
19	Human exposure factors as potential determinants of the heterogeneity in city-specific associations between PM2.5 and mortality Journal of Exposure Science & Environmental Epidemiology ·Lisa Baxter, Kathie L. Dionisio, Prachi Pradeep, Kristen M. Rappazzo, Lucas Neas	2018	5
20	Use of QSAR Modeling to Predict the Carcinogenicity of Color Additives Ronald P. Brown, Shannon M. White, Jennifer Goode, Prachi Pradeep, Stephen J. Merrill	2013	4

About Prachi Pradeep

Prachi Pradeep is a scholar working on Computational Theory and Mathematics, Health, Toxicology and Mutagenesis, Small Animals, Molecular Biology and Environmental Chemistry, having authored 25 papers that have together received 506 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Effects and risks of endocrine disrupting chemicals (10 papers), Animal testing and alternatives (5 papers), Carcinogens and Genotoxicity Assessment (4 papers), Chemistry and Chemical Engineering (3 papers), Toxic Organic Pollutants Impact (3 papers), Air Quality and Health Impacts (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Chemical Health and Safety (17 citations), Small Animals (127 citations), Health, Toxicology and Mutagenesis (200 citations), Computational Theory and Mathematics (184 citations) and Environmental Chemistry (72 citations). Prachi Pradeep has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Grace Patlewicz, Richard Judson, Imran Shah, Katie Paul Friedman, Stephen J. Merrill, Richard J. Povinelli, Shannon M. White, John F. Wambaugh, Ly Pham and R. Woodrow Setzer. Their work appears in journals such as Regulatory Toxicology and Pharmacology, Toxics, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Journal of Exposure Science & Environmental Epidemiology and Statistics in Medicine.

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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