Nitin Mehrotra
Impact in
- Hepatology top 5%
- Hepatitis Viruses Studies and Epidemiology
- Liver Disease and Transplantation
- Pharmacology top 5%
- Antibiotics Pharmacokinetics and Efficacy
Papers in
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- Statistical Methods in Clinical Trials 8
-
- Pharmacogenetics and Drug Metabolism 6
- Antibiotics Pharmacokinetics and Efficacy 4
- Co-authors
- Bernd MeibohmRakesh AggarwalS. R. NaikManish GuptaRichard PazdurRam Chandra GuptaChia‐Wen KoAnn T. Farrell
- Journals
- Clinical Pharmacology & Therapeutics (6 papers)Clinical Cancer Research (5 papers)The Journal of Clinical Pharmacology (5 papers)Rapid Communications in Mass Spectrometry (2 papers)Journal of Pediatric Gastroenterology and Nutrition (2 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Nitin Mehrotra
56 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 133
- Hepatology 246
- Pharmacology 141
- Statistics and Probability 122
- Oncology 395
- Infectious Diseases 256
Countries citing papers authored by Nitin Mehrotra
This map shows the geographic impact of Nitin Mehrotra'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 Nitin Mehrotra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nitin Mehrotra more than expected).
Fields of papers citing papers by Nitin Mehrotra
This network shows the impact of papers produced by Nitin Mehrotra. 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 Nitin Mehrotra. The network helps show where Nitin Mehrotra may publish in the future.
Co-authors
The 25 scholars most cited alongside Nitin Mehrotra, 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 | 2022 | 15 | |
| 2 | 2021 | 23 | |
| 3 | 2018 | 12 | |
| 4 | 2016 | 58 | |
| 5 | 2015 | 261 | |
| 6 | 2014 | 51 | |
| 7 | 2012 | 6 | |
| 8 | 2012 | 3 | |
| 9 | 2010 | 1 | |
| 10 | 2010 | 2 | |
| 11 | 2010 | 31 | |
| 12 | 2009 | 12 | |
| 13 | 2009 | 12 | |
| 14 | 2009 | 25 | |
| 15 | 2008 | 86 | |
| 16 | 2007 | 19 | |
| 17 | 2006 | 123 | |
| 18 | 2003 | 9 | |
| 19 | 2003 | 21 | |
| 20 | 1991 | 65 |
About Nitin Mehrotra
Nitin Mehrotra is a scholar working on Statistics and Probability, Pharmacology, Pediatrics, Perinatology and Child Health, Family Practice and Aquatic Science, having authored 59 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pharmaceutical studies and practices (11 papers), Statistical Methods in Clinical Trials (8 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Pharmacogenetics and Drug Metabolism (6 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Particle Accelerators and Free-Electron Lasers (3 papers) and Genetic diversity and population structure (3 papers). The work is most often cited by research in Hepatology (246 citations), Pharmacology (141 citations), Statistics and Probability (122 citations), Oncology (395 citations) and Infectious Diseases (256 citations). Nitin Mehrotra has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Bernd Meibohm, Rakesh Aggarwal, S. R. Naik, Manish Gupta, Richard Pazdur, Ram Chandra Gupta, Chia‐Wen Ko, Ann T. Farrell, Brenda J. Gehrke and Albert Deisseroth. Their work appears in journals such as Clinical Pharmacology & Therapeutics, Clinical Cancer Research, The Journal of Clinical Pharmacology, Rapid Communications in Mass Spectrometry and Journal of Pediatric Gastroenterology and Nutrition.
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.