Parag P. Shah
- Cancer Research top 10%
- Carcinogens and Genotoxicity Assessment 5
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism 5
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways 12
- Glutathione Transferases and Polymorphisms 10
- Genomics, phytochemicals, and oxidative stress 9
- Epigenetics and DNA Methylation 6
- RNA and protein synthesis mechanisms 5
- Parasitology top 5%
- Pathology and Forensic Medicine top 10%
- Chemotherapy-induced organ toxicity mitigation 8
- Co-authors
- Levi J. BeverlyMohan C. PantSham S. KakarDevendra ParmarNeeraj MathurScott L. DiamondLeah J. SiskindArvind Pratap Singh
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (2 papers)Oncogene (2 papers)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Parag P. Shah
59 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 102
- Cancer Research 297
- Pharmacology 156
- Molecular Biology 1.0k
- Parasitology 96
- Pathology and Forensic Medicine 195
Countries citing papers authored by Parag P. Shah
This map shows the geographic impact of Parag P. Shah'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 Parag P. Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parag P. Shah more than expected).
Fields of papers citing papers by Parag P. Shah
This network shows the impact of papers produced by Parag P. Shah. 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 Parag P. Shah. The network helps show where Parag P. Shah may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Parag P. Shah, 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 | 2025 | 0 | |
| 2 | 2023 | 10 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 11 | |
| 5 | 2019 | 16 | |
| 6 | 2019 | 73 | |
| 7 | 2017 | 41 | |
| 8 | 2017 | 1 | |
| 9 | 2014 | 53 | |
| 10 | 2011 | 65 | |
| 11 | 2010 | 2 | |
| 12 | 2009 | 19 | |
| 13 | 2009 | 70 | |
| 14 | 2009 | 29 | |
| 15 | 2009 | 26 | |
| 16 | 2008 | 72 | |
| 17 | 2008 | 15 | |
| 18 | 2007 | 7 | |
| 19 | 2007 | 76 | |
| 20 | 2007 | 20 |
About Parag P. Shah
Parag P. Shah is a scholar working on Cancer Research, Molecular Biology and Cell Biology, having authored 62 papers that have together received 1.8k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (12 papers), Glutathione Transferases and Polymorphisms (10 papers), Genomics, phytochemicals, and oxidative stress (9 papers), Chemotherapy-induced organ toxicity mitigation (8 papers), Epigenetics and DNA Methylation (6 papers), Pharmacogenetics and Drug Metabolism (5 papers), RNA and protein synthesis mechanisms (5 papers) and Carcinogens and Genotoxicity Assessment (5 papers). The work is most often cited by research in Cancer Research (297 citations), Pharmacology (156 citations) and Molecular Biology (1.0k citations). Parag P. Shah has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Levi J. Beverly, Mohan C. Pant, Sham S. Kakar, Devendra Parmar, Neeraj Mathur, Scott L. Diamond, Leah J. Siskind, Arvind Pratap Singh, Munindra Ruwali and Madhu Singh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Oncogene.
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.