Prashanth Gokare
Impact in
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- Cancer Cells and Metastasis
- Colorectal Cancer Treatments and Studies
- Cancer-related Molecular Pathways
- CAR-T cell therapy research
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- Cancer Genomics and Diagnostics
Papers in
- Oncology 7
- Cancer-related Molecular Pathways 3
- Colorectal Cancer Treatments and Studies 3
- Cancer Treatment and Pharmacology 2
- Cancer Cells and Metastasis 2
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- Cell death mechanisms and regulation 2
- Epigenetics and DNA Methylation 1
- Co-authors
- Niklas K. Finnberg (7 shared papers)Wafik S. El‐Deiry (6 shared papers)Sergei I. Grivennikov (1 shared paper)Alexander W. Macfarlane (1 shared paper)Jeffrey M. Farma (1 shared paper)Luigi Grasso (1 shared paper)Nicholas C. Nicolaides (1 shared paper)Avital Lev (1 shared paper)
- Journals
- Oncotarget (3 papers)Cancer Research (3 papers)Clinical Cancer Research (1 paper)Proceedings of the National Academy of Sciences (1 paper)Current Clinical Pharmacology (1 paper)
- Partner nations
- United StatesBelgiumJapan
In The Last Decade
Prashanth Gokare
10 papers receiving 205 citations
Peers
Comparison fields: 5 of 46
- Oncology 117
- Cancer Research 42
- Biotechnology 15
- Biomedical Engineering 57
- Modeling and Simulation 5
Countries citing papers authored by Prashanth Gokare
This map shows the geographic impact of Prashanth Gokare'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 Prashanth Gokare with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashanth Gokare more than expected).
Fields of papers citing papers by Prashanth Gokare
This network shows the impact of papers produced by Prashanth Gokare. 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 Prashanth Gokare. The network helps show where Prashanth Gokare may publish in the future.
Co-authors
The 25 scholars most cited alongside Prashanth Gokare, 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 | 2017 | 102 | |
| 2 | 2016 | 35 | |
| 3 | 2017 | 25 | |
| 4 | 2015 | 14 | |
| 5 | 2023 | 9 | |
| 6 | 2017 | 9 | |
| 7 | 2015 | 5 | |
| 8 | 2016 | 4 | |
| 9 | 2025 | 2 | |
| 10 | 2023 | 2 | |
| 11 | 2022 | 0 |
About Prashanth Gokare
Prashanth Gokare is a scholar working on Oncology, Molecular Biology, Cancer Research, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 207 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Cancer Genomics and Diagnostics (2 papers), Cell death mechanisms and regulation (2 papers), Cancer Treatment and Pharmacology (2 papers), Cancer Cells and Metastasis (2 papers), Acute Myeloid Leukemia Research (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Oncology (117 citations), Cancer Research (42 citations), Biotechnology (15 citations), Biomedical Engineering (57 citations) and Modeling and Simulation (5 citations). Prashanth Gokare has collaborated with scholars based in United States, Belgium and Japan. Frequent co-authors include Niklas K. Finnberg, Wafik S. El‐Deiry, Sergei I. Grivennikov, Alexander W. Macfarlane, Jeffrey M. Farma, Luigi Grasso, Nicholas C. Nicolaides, Avital Lev, Kerry S. Campbell and Philip H. Abbosh. Their work appears in journals such as Oncotarget, Cancer Research, Clinical Cancer Research, Proceedings of the National Academy of Sciences and Current Clinical Pharmacology.
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.