Partha Krishnamurthy
Impact in
- Oncology top 5%
- Drug Transport and Resistance Mechanisms
- Pharmacology top 2%
- Drug-Induced Hepatotoxicity and Protection
Papers in
-
- Pharmacogenetics and Drug Metabolism 4
- Drug-Induced Hepatotoxicity and Protection 4
- Oncology 20
- Drug Transport and Resistance Mechanisms 16
- Co-authors
- John D. SchuetzHemantkumar ChavanKelly E. MercerTao XieBalázs SarkadiSheng ZhouTakeo NakanishiDouglas D. Ross
- Journals
- Journal of Biological Chemistry (6 papers)The FASEB Journal (3 papers)Toxicological Sciences (3 papers)Cancer Research (2 papers)Gastroenterology (2 papers)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Partha Krishnamurthy
45 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Oncology 923
- Pharmacology 233
- Hepatology 138
- Genetics 184
- Molecular Biology 1.2k
Countries citing papers authored by Partha Krishnamurthy
This map shows the geographic impact of Partha Krishnamurthy'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 Partha Krishnamurthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Partha Krishnamurthy more than expected).
Fields of papers citing papers by Partha Krishnamurthy
This network shows the impact of papers produced by Partha Krishnamurthy. 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 Partha Krishnamurthy. The network helps show where Partha Krishnamurthy may publish in the future.
Co-authors
The 25 scholars most cited alongside Partha Krishnamurthy, 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 | 2021 | 12 | |
| 2 | 2020 | 11 | |
| 3 | 2020 | 18 | |
| 4 | 2019 | 107 | |
| 5 | 2018 | 36 | |
| 6 | Impaired TFEB-Mediated Lysosome Biogenesis and Autophagy Promote Chronic Ethanol-Induced Liver Injury and Steatosis in Mice Hit paper breakdown → | 2018 | 270 |
| 7 | 2017 | 61 | |
| 8 | 2017 | 86 | |
| 9 | 2017 | 26 | |
| 10 | 2016 | 55 | |
| 11 | 2016 | 39 | |
| 12 | 2016 | 63 | |
| 13 | 2015 | 10 | |
| 14 | 2012 | 18 | |
| 15 | 2011 | 43 | |
| 16 | 2011 | 49 | |
| 17 | 2009 | 48 | |
| 18 | 2008 | 116 | |
| 19 | Developing a Preference Assessment Tool for Use among Minority and Low Literacy Primary Care Patients | 2007 | 1 |
| 20 | 2007 | 158 |
About Partha Krishnamurthy
Partha Krishnamurthy is a scholar working on Pharmacology, Oncology, Clinical Biochemistry, Biochemistry and Small Animals, having authored 45 papers that have together received 2.9k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (16 papers), Epigenetics and DNA Methylation (5 papers), Metabolism and Genetic Disorders (4 papers), Pharmacogenetics and Drug Metabolism (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), Mitochondrial Function and Pathology (3 papers) and Neonatal Health and Biochemistry (3 papers). The work is most often cited by research in Oncology (923 citations), Pharmacology (233 citations), Hepatology (138 citations), Genetics (184 citations) and Molecular Biology (1.2k citations). Partha Krishnamurthy has collaborated with scholars based in United States, India and China. Frequent co-authors include John D. Schuetz, Hemantkumar Chavan, Kelly E. Mercer, Tao Xie, Balázs Sarkadi, Sheng Zhou, Takeo Nakanishi, Douglas D. Ross, Brian P. Sorrentino and Yu Fukuda. Their work appears in journals such as Journal of Biological Chemistry, The FASEB Journal, Toxicological Sciences, Cancer Research and Gastroenterology.
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.