Salil N. Pendse

482 total citations
22 papers, 357 citations indexed

About

Salil N. Pendse is a scholar working on Molecular Biology, Computational Theory and Mathematics and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Salil N. Pendse has authored 22 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 5 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Salil N. Pendse's work include Computational Drug Discovery Methods (6 papers), Carcinogens and Genotoxicity Assessment (5 papers) and Effects and risks of endocrine disrupting chemicals (4 papers). Salil N. Pendse is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Carcinogens and Genotoxicity Assessment (5 papers) and Effects and risks of endocrine disrupting chemicals (4 papers). Salil N. Pendse collaborates with scholars based in United States, United Kingdom and Germany. Salil N. Pendse's co-authors include Patrick D. McMullen, Melvin E. Andersen, Michael B. Black, Rebecca A. Clewell, Chad Deisenroth, Harvey J. Clewell, Alina Efremenko, Miyoung Yoon, Marjory Moreau and Darol E. Dodd and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Chemosphere.

In The Last Decade

Salil N. Pendse

22 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Salil N. Pendse United States	12	142	132	94	57	54	22	357
Julie K. Buick Canada	13	219 1.5×	275 2.1×	251 2.7×	73 1.3×	64 1.2×	16	551
Reetu Singh United States	5	202 1.4×	76 0.6×	102 1.1×	75 1.3×	97 1.8×	6	421
Yi-Hui Zhou United States	7	133 0.9×	192 1.5×	72 0.8×	36 0.6×	39 0.7×	10	423
Sharon B. Stuard United States	10	66 0.5×	105 0.8×	41 0.4×	50 0.9×	55 1.0×	17	307
Markus Frericks Germany	10	116 0.8×	97 0.7×	48 0.5×	32 0.6×	20 0.4×	23	336
Valerie Y. Soldatow United States	9	89 0.6×	193 1.5×	60 0.6×	36 0.6×	29 0.5×	12	567
Jessica LaRocca United States	12	279 2.0×	241 1.8×	93 1.0×	19 0.3×	31 0.6×	24	687
William D. Klaren United States	12	146 1.0×	113 0.9×	36 0.4×	69 1.2×	22 0.4×	21	373
Ann Parker United States	11	149 1.0×	83 0.6×	98 1.0×	16 0.3×	23 0.4×	14	365
Christian Pütz Germany	9	179 1.3×	63 0.5×	146 1.6×	13 0.2×	19 0.4×	15	353

Countries citing papers authored by Salil N. Pendse

Since Specialization

Citations

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

Fields of papers citing papers by Salil N. Pendse

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Salil N. Pendse. 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 Salil N. Pendse. The network helps show where Salil N. Pendse may publish in the future.

Co-authorship network of co-authors of Salil N. Pendse

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Howden, Colin W., Shailja C. Shah, Salil N. Pendse, et al.. (2023). Physiologically‐based pharmacokinetic modelling to predict intragastric rifabutin concentrations in the treatment of Helicobacter pylori infection. Alimentary Pharmacology & Therapeutics. 58(2). 159–167. 7 indexed citations

Moreau, Marjory, Marci G. Smeltz, Saad Haider, et al.. (2022). Considerations for Improving Metabolism Predictions for In Vitro to In Vivo Extrapolation. SHILAP Revista de lepidopterología. 4. 894569–894569. 13 indexed citations

Black, Michael B., et al.. (2021). RNA-sequencing (transcriptomic) data collected in liver and lung of male and female B6C3F1 mice exposed to various dose levels of 4-methylimidazole for 2, 5, or 28 days. SHILAP Revista de lepidopterología. 38. 107420–107420. 3 indexed citations

Song, Gina, Alina Efremenko, Salil N. Pendse, et al.. (2020). Physiologically Based Pharmacokinetic Modeling in Risk Assessment: Case Study With Pyrethroids. Toxicological Sciences. 176(2). 460–469. 7 indexed citations

McMullen, Patrick D., Sudin Bhattacharya, Courtney G. Woods, et al.. (2019). Identifying qualitative differences in PPARα signaling networks in human and rat hepatocytes and their significance for next generation chemical risk assessment methods. Toxicology in Vitro. 64. 104463–104463. 23 indexed citations

McMullen, Patrick D., Salil N. Pendse, Michael B. Black, et al.. (2019). Addressing systematic inconsistencies between in vitro and in vivo transcriptomic mode of action signatures. Toxicology in Vitro. 58. 1–12. 17 indexed citations

Moreau, Marjory, Gina Song, Alina Efremenko, et al.. (2019). Development and Application of a Life-Stage Physiologically Based Pharmacokinetic (PBPK) Model to the Assessment of Internal Dose of Pyrethroids in Humans. Toxicological Sciences. 173(1). 86–99. 32 indexed citations

Wetmore, Barbara A., Rebecca A. Clewell, Salil N. Pendse, et al.. (2018). Assessing bioactivity-exposure profiles of fruit and vegetable extracts in the BioMAP profiling system. Toxicology in Vitro. 54. 41–57. 10 indexed citations

Andersen, Melvin E., George Cruzan, Michael B. Black, et al.. (2018). Strain-related differences in mouse lung gene expression over a two-year period of inhalation exposure to styrene: Relevance to human risk assessment. Regulatory Toxicology and Pharmacology. 96. 153–166. 11 indexed citations

10.

Andersen, Melvin E., Salil N. Pendse, Michael B. Black, & Patrick D. McMullen. (2018). Application of transcriptomic data, visualization tools and bioinformatics resources for informing mode of action. Current Opinion in Toxicology. 9. 21–27. 10 indexed citations

11.

Moreau, Marjory, Jeremy A. Leonard, Katherine A. Phillips, et al.. (2017). Using exposure prediction tools to link exposure and dosimetry for risk-based decisions: A case study with phthalates. Chemosphere. 184. 1194–1201. 23 indexed citations

12.

Pendse, Salil N., Rebecca A. Clewell, Alina Efremenko, et al.. (2017). PLETHEM – An interactive open-source platform for bridging the source-to-outcome continuum. Toxicology Letters. 280. S288–S288. 3 indexed citations

13.

Andersen, Melvin E., George Cruzan, Michael B. Black, et al.. (2017). Assessing molecular initiating events (MIEs), key events (KEs) and modulating factors (MFs) for styrene responses in mouse lungs using whole genome gene expression profiling following 1-day and multi-week exposures. Toxicology and Applied Pharmacology. 335. 28–40. 26 indexed citations

14.

Andersen, Melvin E., Michael B. Black, Jerry L. Campbell, et al.. (2017). Combining transcriptomics and PBPK modeling indicates a primary role of hypoxia and altered circadian signaling in dichloromethane carcinogenicity in mouse lung and liver. Toxicology and Applied Pharmacology. 332. 149–158. 16 indexed citations

15.

Pendse, Salil N., Alexandra Maertens, Michael Rosenberg, et al.. (2016). Information-dependent enrichment analysis reveals time-dependent transcriptional regulation of the estrogen pathway of toxicity. Archives of Toxicology. 91(4). 1749–1762. 21 indexed citations

16.

Foley, Briana, Daniel Doheny, Michael B. Black, et al.. (2016). Editor’s Highlight: Screening ToxCast Prioritized Chemicals forPPARGFunction in a Human Adipose-Derived Stem Cell Model of Adipogenesis. Toxicological Sciences. 155(1). 85–100. 29 indexed citations

17.

Livi, Carolina B., Dipanwita Roy Choudhury, André Kleensang, et al.. (2016). The Human Toxome Collaboratorium: A Shared Environment for Multi-Omic Computational Collaboration within a Consortium. Frontiers in Pharmacology. 6. 322–322. 6 indexed citations

18.

Black, Michael B., Darol E. Dodd, Patrick D. McMullen, et al.. (2015). Using gene expression profiling to evaluate cellular responses in mouse lungs exposed to V2O5 and a group of other mouse lung tumorigens and non-tumorigens. Regulatory Toxicology and Pharmacology. 73(1). 339–347. 11 indexed citations

19.

Clewell, Rebecca A., Bin Sun, Paul L. Carmichael, et al.. (2014). Profiling Dose-Dependent Activation of p53-Mediated Signaling Pathways by Chemicals with Distinct Mechanisms of DNA Damage. Toxicological Sciences. 142(1). 56–73. 37 indexed citations

20.

Deisenroth, Chad, Michael B. Black, Salil N. Pendse, et al.. (2014). MYC Is an Early Response Regulator of Human Adipogenesis in Adipose Stem Cells. PLoS ONE. 9(12). e114133–e114133. 33 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.

Explore authors with similar magnitude of impact