Karthik Venkatakrishnan
- Pharmacology top 0.02%
- Pharmacogenetics and Drug Metabolism 49
- Oncology top 1%
- Drug Transport and Resistance Mechanisms 28
- Hematology top 1%
- Multiple Myeloma Research and Treatments 31
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism 49
- Computational Theory and Mathematics top 0.5%
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- Chronic Lymphocytic Leukemia Research 35
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- Protein Degradation and Inhibitors 26
- Ubiquitin and proteasome pathways 23
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- Statistical Methods in Clinical Trials 22
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- Lung Cancer Treatments and Mutations 22
- Co-authors
- David J. GreenblattR. Scott ObachLisa L. von MoltkeRobert L. WalskyMichael H. CourtRichard I. ShaderJerold S. HarmatzNeeraj Gupta
- Cited by
- PharmacologyOncologyHematology
- Partner nations
- United StatesJapanGermany
In The Last Decade
Karthik Venkatakrishnan
194 papers receiving 6.3k citations
Peers
Comparison fields: 5 of 165
- Pharmacology 3.0k
- Oncology 2.3k
- Hematology 677
- Pharmacology 693
- Computational Theory and Mathematics 620
Countries citing papers authored by Karthik Venkatakrishnan
This map shows the geographic impact of Karthik Venkatakrishnan'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 Karthik Venkatakrishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karthik Venkatakrishnan more than expected).
Fields of papers citing papers by Karthik Venkatakrishnan
This network shows the impact of papers produced by Karthik Venkatakrishnan. 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 Karthik Venkatakrishnan. The network helps show where Karthik Venkatakrishnan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Karthik Venkatakrishnan, 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 13 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 34 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 3 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 2 | |
| 15 | 2022 | 7 | |
| 16 | 2022 | 8 | |
| 17 | 2019 | 17 | |
| 18 | 2014 | 27 | |
| 19 | 2012 | 119 | |
| 20 | 2012 | 128 |
About Karthik Venkatakrishnan
Karthik Venkatakrishnan is a scholar working on Pharmacology, Hematology and Genetics, having authored 199 papers that have together received 6.6k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (49 papers), Chronic Lymphocytic Leukemia Research (35 papers), Multiple Myeloma Research and Treatments (31 papers), Drug Transport and Resistance Mechanisms (28 papers), Protein Degradation and Inhibitors (26 papers), Ubiquitin and proteasome pathways (23 papers), Statistical Methods in Clinical Trials (22 papers) and Lung Cancer Treatments and Mutations (22 papers). The work is most often cited by research in Pharmacology (3.0k citations), Oncology (2.3k citations) and Hematology (677 citations). Karthik Venkatakrishnan has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include David J. Greenblatt, R. Scott Obach, Lisa L. von Moltke, Lisa L. von Moltke, David J. Greenblatt, Robert L. Walsky, Michael H. Court, Richard I. Shader, Jerold S. Harmatz and Neeraj Gupta. Their work appears in journals such as Journal of Clinical Oncology, Blood and Cancer.
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.