Kishore K. Khan
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism 11
- Oncology top 10%
- Drug Transport and Resistance Mechanisms 4
- Spectroscopy top 10%
- Analytical Chemistry and Chromatography 6
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- Innovative Microfluidic and Catalytic Techniques Innovation 2
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- Metabolomics and Mass Spectrometry Studies 2
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- Electrochemical Analysis and Applications 2
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- Electrochemical sensors and biosensors 2
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- Enzyme-mediated dye degradation 1
- Co-authors
- James R. HalpertTammy L. DomanskiYou HeYou-Ai HeJasminder SahiChris BlackHans‐Peter KlenkArne Zibat
- Journals
- Drug Metabolism and Disposition (3 papers)Chemical Research in Toxicology (2 papers)Molecular Pharmacology (2 papers)
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Kishore K. Khan
17 papers receiving 763 citations
Peers
Comparison fields: 5 of 77
- Pharmacology 628
- Oncology 336
- Computational Theory and Mathematics 120
- Spectroscopy 116
- Transplantation 15
Countries citing papers authored by Kishore K. Khan
This map shows the geographic impact of Kishore K. Khan'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 Kishore K. Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kishore K. Khan more than expected).
Fields of papers citing papers by Kishore K. Khan
This network shows the impact of papers produced by Kishore K. Khan. 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 Kishore K. Khan. The network helps show where Kishore K. Khan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kishore K. Khan, 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 | 2008 | 56 | |
| 2 | 2004 | 20 | |
| 3 | 2003 | 20 | |
| 4 | 2002 | 129 | |
| 5 | 2002 | 30 | |
| 6 | 2002 | 48 | |
| 7 | 2002 | 20 | |
| 8 | 2002 | 14 | |
| 9 | 2001 | 189 | |
| 10 | 2001 | 122 | |
| 11 | 2000 | 35 | |
| 12 | 2000 | 56 | |
| 13 | 1998 | 8 | |
| 14 | 1997 | 14 | |
| 15 | 1996 | 10 | |
| 16 | 1994 | 2 | |
| 17 | 1993 | 12 |
About Kishore K. Khan
Kishore K. Khan is a scholar working on Pharmacology, Spectroscopy and Electrochemistry, having authored 17 papers that have together received 785 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (11 papers), Analytical Chemistry and Chromatography (6 papers), Drug Transport and Resistance Mechanisms (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Electrochemical Analysis and Applications (2 papers), Electrochemical sensors and biosensors (2 papers) and Enzyme-mediated dye degradation (1 paper). The work is most often cited by research in Pharmacology (628 citations), Oncology (336 citations) and Computational Theory and Mathematics (120 citations). Kishore K. Khan has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include James R. Halpert, Tammy L. Domanski, You He, You-Ai He, Jasminder Sahi, Chris Black, Hans‐Peter Klenk, Arne Zibat, Jürgen Brockmöller and Ulrich M. Zanger. Their work appears in journals such as Drug Metabolism and Disposition, Chemical Research in Toxicology, Molecular Pharmacology, Archives of Biochemistry and Biophysics and The Journal of Physical Chemistry.
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.