Parth Kothiya
Impact in
-
- Effects and risks of endocrine disrupting chemicals
- Environmental Toxicology and Ecotoxicology
- Toxic Organic Pollutants Impact
- Small Animals top 5%
- Animal testing and alternatives
Papers in
-
- Computational Drug Discovery Methods 4
-
- Epigenetics and DNA Methylation 1
- Biomedical Text Mining and Ontologies 1
- Pluripotent Stem Cells Research 1
- Microbial Metabolic Engineering and Bioproduction 1
- Co-authors
- Matthew T. Martin (3 shared papers)R. Woodrow Setzer (1 shared paper)Dayne L. Filer (1 shared paper)Richard Judson (3 shared papers)Keith A. Houck (3 shared papers)David M. Reif (2 shared papers)Thomas B. Knudsen (2 shared papers)David J. Dix (1 shared paper)
- Journals
- npj Systems Biology and Applications (1 paper)Chemical Research in Toxicology (1 paper)Toxicological Sciences (1 paper)International Journal of Molecular Sciences (1 paper)Bioinformatics (1 paper)
- Partner nations
- United States
In The Last Decade
Parth Kothiya
5 papers receiving 460 citations
Peers
Comparison fields: 5 of 83
- Health, Toxicology and Mutagenesis 193
- Small Animals 93
- Computational Theory and Mathematics 169
- Chemical Health and Safety 3
- Pollution 53
Countries citing papers authored by Parth Kothiya
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
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-authors
The 25 scholars most cited alongside Parth Kothiya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 180 | |
| 2 | 2013 | 149 | |
| 3 | 2012 | 73 | |
| 4 | 2020 | 39 | |
| 5 | 2021 | 29 |
About Parth Kothiya
Parth Kothiya is a scholar working on Computational Theory and Mathematics, Molecular Biology, Health, Toxicology and Mutagenesis, Pharmacology and Physical and Theoretical Chemistry, having authored 5 papers that have together received 470 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Effects and risks of endocrine disrupting chemicals (1 paper), Pharmacogenetics and Drug Metabolism (1 paper), Epigenetics and DNA Methylation (1 paper), Biomedical Text Mining and Ontologies (1 paper), History and advancements in chemistry (1 paper), Pluripotent Stem Cells Research (1 paper) and Microbial Metabolic Engineering and Bioproduction (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (193 citations), Small Animals (93 citations), Computational Theory and Mathematics (169 citations), Chemical Health and Safety (3 citations) and Pollution (53 citations). Parth Kothiya has collaborated with scholars based in United States. Frequent co-authors include Matthew T. Martin, R. Woodrow Setzer, Dayne L. Filer, Richard Judson, Keith A. Houck, David M. Reif, Thomas B. Knudsen, David J. Dix, Nisha S. Sipes and Robert J. Kavlock. Their work appears in journals such as npj Systems Biology and Applications, Chemical Research in Toxicology, Toxicological Sciences, International Journal of Molecular Sciences and Bioinformatics.
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.