Nirmala Raghavan
- Cardiology and Cardiovascular Medicine top 5%
- Internal Medicine top 1%
- Pharmacology top 2%
- Molecular Biology
- Oncology
- Co-authors
- Donglu ZhangShiang-Yuan ChenKan HeW. Griffith HumphreysDonald PintoCharles FrostSamuel J. BonacorsiHaiying Zhang
- Topics
- Pharmacogenetics and Drug Metabolism (7 papers)Drug Transport and Resistance Mechanisms (5 papers)Eicosanoids and Hypertension Pharmacology (4 papers)
- Journals
- International Journal of PharmaceuticsChemical Research in ToxicologyDrug Metabolism and Disposition
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Nirmala Raghavan
17 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Cardiology and Cardiovascular Medicine 684
- Internal Medicine 458
- Pharmacology 218
- Molecular Biology 104
- Oncology 89
Countries citing papers authored by Nirmala Raghavan
This map shows the geographic impact of Nirmala Raghavan'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 Nirmala Raghavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nirmala Raghavan more than expected).
Fields of papers citing papers by Nirmala Raghavan
This network shows the impact of papers produced by Nirmala Raghavan. 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 Nirmala Raghavan. The network helps show where Nirmala Raghavan may publish in the future.
Co-authorship network of co-authors of Nirmala Raghavan
This figure shows the co-authorship network connecting the top 25 collaborators of Nirmala Raghavan. A scholar is included among the top collaborators of Nirmala Raghavan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nirmala Raghavan. Nirmala Raghavan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 22 | |
| 3 | 18 | |
| 4 | 17 | |
| 5 | 212 | |
| 6 | 89 | |
| 7 | 48 | |
| 8 | Apixaban Metabolism and Pharmacokinetics after Oral Administration to Humansbreakdown → | 490 |
| 9 | 27 | |
| 10 | 46 | |
| 11 | 10 | |
| 12 | 21 | |
| 13 | 9 | |
| 14 | 6 | |
| 15 | 3 | |
| 16 | 9 | |
| 17 | 14 |
About Nirmala Raghavan
Nirmala Raghavan is a scholar working on Pharmacology, Biochemistry and Filtration and Separation, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (7 papers), Drug Transport and Resistance Mechanisms (5 papers) and Eicosanoids and Hypertension Pharmacology (4 papers). The work is most often cited by research in Internal Medicine (458 citations), Cardiology and Cardiovascular Medicine (684 citations) and Pharmacology (218 citations). Nirmala Raghavan has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Donglu Zhang, Shiang-Yuan Chen, Kan He, W. Griffith Humphreys, Donald Pinto, Charles Frost, Samuel J. Bonacorsi, Haiying Zhang, Pancras C. Wong and Zhigang Yu. Their work appears in journals such as International Journal of Pharmaceutics, Chemical Research in Toxicology and Drug Metabolism and Disposition.
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.