Daniel R. Mudra
Impact in
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
- Oncology top 10%
- Drug Transport and Resistance Mechanisms
Papers in
- Pharmacology 11
- Pharmacogenetics and Drug Metabolism 10
- Inflammatory mediators and NSAID effects 5
- Drug-Induced Hepatotoxicity and Protection 2
- Oncology 7
- Drug Transport and Resistance Mechanisms 7
- Co-authors
- Andrew Parkinson (5 shared papers)Ronald T. Borchardt (3 shared papers)Ajay Madan (3 shared papers)Liang‐Shang Gan (2 shared papers)Richard Graham (2 shared papers)Edward L. LeCluyse (2 shared papers)K. K. Carroll (2 shared papers)Gang Luo (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (4 papers)Bioorganic & Medicinal Chemistry Letters (3 papers)Journal of Pharmaceutical Sciences (3 papers)Drug Metabolism and Disposition (2 papers)Toxicology and Applied Pharmacology (1 paper)
- Partner nations
- United StatesSpain
In The Last Decade
Daniel R. Mudra
19 papers receiving 966 citations
Peers
Comparison fields: 5 of 89
- Pharmacology 469
- Oncology 296
- Pharmaceutical Science 64
- Biochemistry 49
- Hepatology 47
Countries citing papers authored by Daniel R. Mudra
This map shows the geographic impact of Daniel R. Mudra'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 Daniel R. Mudra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel R. Mudra more than expected).
Fields of papers citing papers by Daniel R. Mudra
This network shows the impact of papers produced by Daniel R. Mudra. 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 Daniel R. Mudra. The network helps show where Daniel R. Mudra may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel R. Mudra, 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 | 2002 | 359 | |
| 2 | 2003 | 275 | |
| 3 | 2006 | 59 | |
| 4 | 2009 | 50 | |
| 5 | 2014 | 49 | |
| 6 | 2016 | 39 | |
| 7 | 2011 | 29 | |
| 8 | 2012 | 23 | |
| 9 | 2017 | 23 | |
| 10 | 2001 | 21 | |
| 11 | 2009 | 17 | |
| 12 | 2017 | 12 | |
| 13 | 2002 | 11 | |
| 14 | 2016 | 10 | |
| 15 | 2009 | 9 | |
| 16 | 2015 | 7 | |
| 17 | 2015 | 5 | |
| 18 | 2017 | 5 | |
| 19 | 2016 | 5 |
About Daniel R. Mudra
Daniel R. Mudra is a scholar working on Pharmacology, Oncology, Molecular Biology, Pharmacology and Organic Chemistry, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (10 papers), Drug Transport and Resistance Mechanisms (7 papers), Inflammatory mediators and NSAID effects (5 papers), Chemical Synthesis and Analysis (4 papers), Pharmacological Effects and Toxicity Studies (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Liver physiology and pathology (2 papers) and Drug-Induced Hepatotoxicity and Protection (2 papers). The work is most often cited by research in Pharmacology (469 citations), Oncology (296 citations), Pharmaceutical Science (64 citations), Biochemistry (49 citations) and Hepatology (47 citations). Daniel R. Mudra has collaborated with scholars based in United States and Spain. Frequent co-authors include Andrew Parkinson, Ronald T. Borchardt, Ajay Madan, Liang‐Shang Gan, Richard Graham, Edward L. LeCluyse, K. K. Carroll, Gang Luo, Sean Kim and Bernard Selling. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Journal of Pharmaceutical Sciences, Drug Metabolism and Disposition and Toxicology and Applied Pharmacology.
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.