Priyank Kumar
Impact in
-
- Drug Transport and Resistance Mechanisms
-
- Neuropeptides and Animal Physiology
Papers in
-
- Cancer therapeutics and mechanisms 3
- Receptor Mechanisms and Signaling 2
- Pharmacological Receptor Mechanisms and Effects 2
- Oncology 7
- Drug Transport and Resistance Mechanisms 7
- Co-authors
- Zhe‐Sheng Chen (8 shared papers)Sunil Sirohi (3 shared papers)Byron C. Yoburn (3 shared papers)Atish Patel (6 shared papers)Kurt Degenhardt (1 shared paper)Dongmei Zhang (1 shared paper)Ellen A. Walker (2 shared papers)Tanaji T. Talele (3 shared papers)
- Journals
- Oncotarget (2 papers)European Journal of Pharmacology (2 papers)Biochemical Pharmacology (2 papers)Cancer Research (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Priyank Kumar
14 papers receiving 355 citations
Peers
Comparison fields: 5 of 67
- Oncology 174
- Cellular and Molecular Neuroscience 68
- Anesthesiology and Pain Medicine 19
- Molecular Biology 190
- Infectious Diseases 47
Countries citing papers authored by Priyank Kumar
This map shows the geographic impact of Priyank Kumar'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 Priyank Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priyank Kumar more than expected).
Fields of papers citing papers by Priyank Kumar
This network shows the impact of papers produced by Priyank Kumar. 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 Priyank Kumar. The network helps show where Priyank Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Priyank Kumar, 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 | 2012 | 58 | |
| 2 | 2007 | 51 | |
| 3 | 2014 | 48 | |
| 4 | 2014 | 41 | |
| 5 | 2013 | 38 | |
| 6 | 2008 | 24 | |
| 7 | 2007 | 23 | |
| 8 | 2017 | 22 | |
| 9 | 2014 | 21 | |
| 10 | 2015 | 21 | |
| 11 | 2021 | 5 | |
| 12 | 2014 | 3 | |
| 13 | Clinical Relevance of µ-Opioid Receptor A118G Polymorphism in Demographically Variant Populations | 2018 | 1 |
| 14 | 2015 | 1 | |
| 15 | 2025 | 0 |
About Priyank Kumar
Priyank Kumar is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Infectious Diseases and Surgery, having authored 15 papers that have together received 357 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (7 papers), Neuropeptides and Animal Physiology (4 papers), Cancer therapeutics and mechanisms (3 papers), Receptor Mechanisms and Signaling (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), Pharmacological Receptor Mechanisms and Effects (2 papers), Pain Mechanisms and Treatments (2 papers) and HIV/AIDS drug development and treatment (2 papers). The work is most often cited by research in Oncology (174 citations), Cellular and Molecular Neuroscience (68 citations), Anesthesiology and Pain Medicine (19 citations), Molecular Biology (190 citations) and Infectious Diseases (47 citations). Priyank Kumar has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Zhe‐Sheng Chen, Sunil Sirohi, Byron C. Yoburn, Atish Patel, Kurt Degenhardt, Dongmei Zhang, Ellen A. Walker, Tanaji T. Talele, Rishil J. Kathawala and Kamlesh Sodani. Their work appears in journals such as Oncotarget, European Journal of Pharmacology, Biochemical Pharmacology, Cancer Research and Journal of Pharmacology and Experimental Therapeutics.
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.