Aspandiar G. Katki
- Molecular Biology top 10%
- Oncology top 5%
- Pharmacology top 2%
- Public Health, Environmental and Occupational Health top 10%
- Organic Chemistry top 10%
- Co-authors
- Charles E. MyersGerald BatistBirandra K. SinhaKenneth H. CowanAnil TulpuleJerry M. CollinsBernard L. TrumpowerRaymond W. Klecker
- Topics
- Glutathione Transferases and Polymorphisms (6 papers)Pharmacogenetics and Drug Metabolism (5 papers)Selenium in Biological Systems (4 papers)
- Cited by
- ToxicologyPharmacologyOncology
- Partner nations
- United StatesAustriaIndia
In The Last Decade
Aspandiar G. Katki
27 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Molecular Biology 1.1k
- Oncology 598
- Pharmacology 257
- Public Health, Environmental and Occupational Health 199
- Organic Chemistry 157
Countries citing papers authored by Aspandiar G. Katki
This map shows the geographic impact of Aspandiar G. Katki'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 Aspandiar G. Katki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aspandiar G. Katki more than expected).
Fields of papers citing papers by Aspandiar G. Katki
This network shows the impact of papers produced by Aspandiar G. Katki. 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 Aspandiar G. Katki. The network helps show where Aspandiar G. Katki may publish in the future.
Co-authorship network of co-authors of Aspandiar G. Katki
This figure shows the co-authorship network connecting the top 25 collaborators of Aspandiar G. Katki. A scholar is included among the top collaborators of Aspandiar G. Katki 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 Aspandiar G. Katki. Aspandiar G. Katki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Uniform assessment and ranking of opioid Mu receptor binding constants for selected opioid drugsbreakdown → | 315 |
| 2 | 21 | |
| 3 | 2 | |
| 4 | 52 | |
| 5 | 51 | |
| 6 | 78 | |
| 7 | 7 | |
| 8 | 44 | |
| 9 | 27 | |
| 10 | 4 | |
| 11 | 195 | |
| 12 | Overexpression of a novel anionic glutathione transferase in multidrug-resistant human breast cancer cells.breakdown → | 724 |
| 13 | 15 | |
| 14 | Selenium-induced cytotoxicity of human leukemia cells: interaction with reduced glutathione. | 60 |
| 15 | 32 | |
| 16 | 19 | |
| 17 | 22 | |
| 18 | 33 | |
| 19 | 44 | |
| 20 | 6 |
About Aspandiar G. Katki
Aspandiar G. Katki is a scholar working on Pharmacology, Biochemistry and Oncology, having authored 27 papers that have together received 2.0k indexed citations. Recurring topics across this work include Glutathione Transferases and Polymorphisms (6 papers), Pharmacogenetics and Drug Metabolism (5 papers) and Selenium in Biological Systems (4 papers). The work is most often cited by research in Toxicology (116 citations), Pharmacology (257 citations) and Oncology (598 citations). Aspandiar G. Katki has collaborated with scholars based in United States, Austria and India. Frequent co-authors include Charles E. Myers, Gerald Batist, Birandra K. Sinha, Kenneth H. Cowan, Anil Tulpule, Jerry M. Collins, Bernard L. Trumpower, Raymond W. Klecker, Anne‐Marie Tobin and R. Daniel Mellon. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and Clinical Cancer Research.
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.