Parth Kothiya

752 total citations
5 papers, 461 citations indexed

About

Parth Kothiya is a scholar working on Molecular Biology, Computational Theory and Mathematics and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Parth Kothiya has authored 5 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 1 paper in Health, Toxicology and Mutagenesis. Recurrent topics in Parth Kothiya's work include Computational Drug Discovery Methods (4 papers), Metabolomics and Mass Spectrometry Studies (1 paper) and Pluripotent Stem Cells Research (1 paper). Parth Kothiya is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Metabolomics and Mass Spectrometry Studies (1 paper) and Pluripotent Stem Cells Research (1 paper). Parth Kothiya collaborates with scholars based in United States. Parth Kothiya's co-authors include Richard Judson, Matthew T. Martin, Dayne L. Filer, R. Woodrow Setzer, David M. Reif, Ann M. Richard, Keith A. Houck, Thomas B. Knudsen, Robert J. Kavlock and David J. Dix and has published in prestigious journals such as Bioinformatics, International Journal of Molecular Sciences and Toxicological Sciences.

In The Last Decade

Parth Kothiya

5 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Parth Kothiya United States 5 197 174 156 94 56 5 461
Jayaram Kancherla United States 5 203 1.0× 209 1.2× 193 1.2× 79 0.8× 58 1.0× 10 532
Joop de Knecht Netherlands 6 213 1.1× 147 0.8× 105 0.7× 136 1.4× 95 1.7× 16 598
Sid Hunter United States 4 207 1.1× 133 0.8× 105 0.7× 97 1.0× 55 1.0× 5 419
Patricia Ceger United States 14 275 1.4× 146 0.8× 147 0.9× 149 1.6× 53 0.9× 23 573
Stephen B. Little United States 7 250 1.3× 266 1.5× 227 1.5× 101 1.1× 71 1.3× 17 668
Dayne L. Filer United States 11 412 2.1× 215 1.2× 188 1.2× 120 1.3× 112 2.0× 16 778
Cory L Strope United States 7 333 1.7× 135 0.8× 139 0.9× 164 1.7× 35 0.6× 7 590
Craig Rowlands United States 10 257 1.3× 146 0.8× 123 0.8× 80 0.9× 21 0.4× 10 571
Derik E. Haggard United States 12 424 2.2× 118 0.7× 218 1.4× 102 1.1× 119 2.1× 21 756
Tuan Xu China 15 166 0.8× 118 0.7× 180 1.2× 21 0.2× 53 0.9× 41 553

Countries citing papers authored by Parth Kothiya

Since Specialization
Citations

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

Fields of papers citing papers by Parth Kothiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parth Kothiya

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

All Works

5 of 5 papers shown
1.
Franzosa, Jill A., Jessica A. Bonzo, John Jack, et al.. (2021). High-throughput toxicogenomic screening of chemicals in the environment using metabolically competent hepatic cell cultures. npj Systems Biology and Applications. 7(1). 7–7. 27 indexed citations
2.
Zurlinden, Todd J., Katerine S. Saili, Parth Kothiya, et al.. (2020). Profiling the ToxCast Library With a Pluripotent Human (H9) Stem Cell Line-Based Biomarker Assay for Developmental Toxicity. Toxicological Sciences. 174(2). 189–209. 38 indexed citations
3.
Filer, Dayne L., Parth Kothiya, R. Woodrow Setzer, Richard Judson, & Matthew T. Martin. (2016). tcpl: the ToxCast pipeline for high-throughput screening data. Bioinformatics. 33(4). 618–620. 175 indexed citations
4.
Sipes, Nisha S., Matthew T. Martin, Parth Kothiya, et al.. (2013). Profiling 976 ToxCast Chemicals across 331 Enzymatic and Receptor Signaling Assays. Chemical Research in Toxicology. 26(6). 878–895. 148 indexed citations
5.
Judson, Richard, Matthew T. Martin, Peter Egeghy, et al.. (2012). Aggregating Data for Computational Toxicology Applications: The U.S. Environmental Protection Agency (EPA) Aggregated Computational Toxicology Resource (ACToR) System. International Journal of Molecular Sciences. 13(2). 1805–1831. 73 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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