K. J. Kripalani
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Pharmacology top 5%
- Pharmacology
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Bruce H. MigdalofSampat M. SinghviHarry J. BrodieRobert A. VukovichDoris N. McKinstryDavid A WillardEric C. SchreiberS. M. Singhvi
- Topics
- Pharmacogenetics and Drug Metabolism (7 papers)Renin-Angiotensin System Studies (5 papers)Drug Transport and Resistance Mechanisms (4 papers)
- Journals
- Journal of the American Chemical SocietyAntimicrobial Agents and ChemotherapyJournal of Pharmaceutical Sciences
- Partner nations
- United StatesGermanyMalaysia
In The Last Decade
K. J. Kripalani
25 papers receiving 590 citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 227
- Cardiology and Cardiovascular Medicine 189
- Pharmacology 150
- Pharmacology 90
- Endocrinology, Diabetes and Metabolism 90
Countries citing papers authored by K. J. Kripalani
This map shows the geographic impact of K. J. Kripalani'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 K. J. Kripalani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. J. Kripalani more than expected).
Fields of papers citing papers by K. J. Kripalani
This network shows the impact of papers produced by K. J. Kripalani. 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 K. J. Kripalani. The network helps show where K. J. Kripalani may publish in the future.
Co-authorship network of co-authors of K. J. Kripalani
This figure shows the co-authorship network connecting the top 25 collaborators of K. J. Kripalani. A scholar is included among the top collaborators of K. J. Kripalani 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 K. J. Kripalani. K. J. Kripalani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 1 | |
| 3 | Biotransformation of irbesartan in man. | 60 |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 66 | |
| 7 | 9 | |
| 8 | 90 | |
| 9 | 10 | |
| 10 | 11 | |
| 11 | 20 | |
| 12 | 9 | |
| 13 | 32 | |
| 14 | 3 | |
| 15 | 10 | |
| 16 | 33 | |
| 17 | 16 | |
| 18 | 31 | |
| 19 | 76 | |
| 20 | 16 |
About K. J. Kripalani
K. J. Kripalani is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 25 papers that have together received 700 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (7 papers), Renin-Angiotensin System Studies (5 papers) and Drug Transport and Resistance Mechanisms (4 papers). The work is most often cited by research in Pharmacology (150 citations), Cardiology and Cardiovascular Medicine (189 citations) and Pharmaceutical Science (40 citations). K. J. Kripalani has collaborated with scholars based in United States, Germany and Malaysia. Frequent co-authors include Bruce H. Migdalof, Sampat M. Singhvi, Harry J. Brodie, Robert A. Vukovich, Doris N. McKinstry, David A Willard, Eric C. Schreiber, S. M. Singhvi, Michael J. Antonaccio and Shih-Jung Lan. Their work appears in journals such as Journal of the American Chemical Society, Antimicrobial Agents and Chemotherapy and Journal of Pharmaceutical Sciences.
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.