Sanjeev Thohan
Impact in
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments
-
- Computational Drug Discovery Methods
Papers in
-
- Drug-Induced Hepatotoxicity and Protection 2
- Pharmacogenetics and Drug Metabolism 2
-
- Chronic Myeloid Leukemia Treatments 2
- Co-authors
- Andrew S. Kane (3 shared papers)Gerald M. Rosen (2 shared papers)Myron Weiner (2 shared papers)Steven J. Prestrelski (1 shared paper)Pedro L. Del Valle (1 shared paper)Sean A. Uryu (1 shared paper)Shawn K. Pack (1 shared paper)Subhas J. Chakravorty (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (2 papers)Marine Environmental Research (2 papers)Blood (1 paper)Diabetes (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)
- Partner nations
- United StatesAustraliaColombia
In The Last Decade
Sanjeev Thohan
11 papers receiving 607 citations
Sanjeev Thohan's Hit Papers
Peers
Comparison fields: 5 of 49
- Hematology 260
- Computational Theory and Mathematics 87
- Molecular Biology 150
- Pharmacology 18
- Cancer Research 23
Countries citing papers authored by Sanjeev Thohan
This map shows the geographic impact of Sanjeev Thohan'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 Sanjeev Thohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjeev Thohan more than expected).
Fields of papers citing papers by Sanjeev Thohan
This network shows the impact of papers produced by Sanjeev Thohan. 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 Sanjeev Thohan. The network helps show where Sanjeev Thohan may publish in the future.
Co-authors
The 17 scholars most cited alongside Sanjeev Thohan, 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 | The allosteric inhibitor ABL001 enables dual targeting of BCR–ABL1 Hit paper breakdown → | 2017 | 492 |
| 2 | 2012 | 62 | |
| 3 | 2014 | 31 | |
| 4 | Tissue slices revisited: evaluation and development of a short-term incubation for integrated drug metabolism. | 2001 | 12 |
| 5 | 2024 | 12 | |
| 6 | 1998 | 7 | |
| 7 | 2000 | 5 | |
| 8 | 2003 | 4 | |
| 9 | 2019 | 3 | |
| 10 | 1999 | 2 | |
| 11 | 2025 | 1 |
About Sanjeev Thohan
Sanjeev Thohan is a scholar working on Pharmacology, Hematology, Health, Toxicology and Mutagenesis, Small Animals and Hepatology, having authored 11 papers that have together received 631 indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Environmental Toxicology and Ecotoxicology (2 papers), Ocular Oncology and Treatments (1 paper), Lung Cancer Treatments and Mutations (1 paper), Hepatitis C virus research (1 paper) and Carcinogens and Genotoxicity Assessment (1 paper). The work is most often cited by research in Hematology (260 citations), Computational Theory and Mathematics (87 citations), Molecular Biology (150 citations), Pharmacology (18 citations) and Cancer Research (23 citations). Sanjeev Thohan has collaborated with scholars based in United States, Australia and Colombia. Frequent co-authors include Andrew S. Kane, Gerald M. Rosen, Myron Weiner, Steven J. Prestrelski, Pedro L. Del Valle, Sean A. Uryu, Shawn K. Pack, Subhas J. Chakravorty, Xiaohu Ouyang and Jason M. Cox. Their work appears in journals such as Journal of Medicinal Chemistry, Marine Environmental Research, Blood, Diabetes and Antimicrobial Agents and Chemotherapy.
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.