Prashant Kumar
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer, Hypoxia, and Metabolism
- Oncology top 10%
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
Papers in
-
- Ubiquitin and proteasome pathways 11
- Epigenetics and DNA Methylation 8
- Glycosylation and Glycoproteins Research 7
- Oncology 25
- Cancer Cells and Metastasis 8
- Co-authors
- Jean Paul Thiery (5 shared papers)Tuan Zea Tan (4 shared papers)Karl Simin (4 shared papers)Harsha Gowda (9 shared papers)Annapoorni Rangarajan (4 shared papers)K. Sekar (2 shared papers)Majid Ebrahimi Warkiani (1 shared paper)M. Vijayan (2 shared papers)
- Journals
- Oncotarget (5 papers)Scientific Reports (3 papers)Journal of Clinical Medicine (3 papers)Molecular Neurobiology (3 papers)Frontiers in Oncology (3 papers)
- Partner nations
- IndiaUnited StatesSingapore
In The Last Decade
Prashant Kumar
78 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 119
- Cancer Research 292
- Oncology 428
- Molecular Biology 616
- Biotechnology 49
- Immunology and Allergy 32
Countries citing papers authored by Prashant Kumar
This map shows the geographic impact of Prashant 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 Prashant Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashant Kumar more than expected).
Fields of papers citing papers by Prashant Kumar
This network shows the impact of papers produced by Prashant 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 Prashant Kumar. The network helps show where Prashant Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Prashant 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
Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 134 | |
| 2 | 2015 | 117 | |
| 3 | 2005 | 61 | |
| 4 | 2014 | 54 | |
| 5 | 2018 | 48 | |
| 6 | 2019 | 46 | |
| 7 | 2017 | 28 | |
| 8 | 2016 | 27 | |
| 9 | 2014 | 26 | |
| 10 | 2016 | 25 | |
| 11 | 2017 | 21 | |
| 12 | 2012 | 20 | |
| 13 | 2020 | 20 | |
| 14 | 2022 | 20 | |
| 15 | 2019 | 20 | |
| 16 | 2023 | 19 | |
| 17 | 2020 | 19 | |
| 18 | 2019 | 17 | |
| 19 | 2004 | 17 | |
| 20 | 2019 | 17 |
About Prashant Kumar
Prashant Kumar is a scholar working on Molecular Biology, Oncology, Surgery, Cancer Research and Pulmonary and Respiratory Medicine, having authored 86 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), Ubiquitin and proteasome pathways (11 papers), Endoplasmic Reticulum Stress and Disease (9 papers), Epigenetics and DNA Methylation (8 papers), Cancer Cells and Metastasis (8 papers), Glycosylation and Glycoproteins Research (7 papers), Bladder and Urothelial Cancer Treatments (7 papers) and Advanced Proteomics Techniques and Applications (5 papers). The work is most often cited by research in Cancer Research (292 citations), Oncology (428 citations), Molecular Biology (616 citations), Biotechnology (49 citations) and Immunology and Allergy (32 citations). Prashant Kumar has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Jean Paul Thiery, Tuan Zea Tan, Karl Simin, Harsha Gowda, Annapoorni Rangarajan, K. Sekar, Majid Ebrahimi Warkiani, M. Vijayan, Chwee Teck Lim and Samuel G.W. Ow. Their work appears in journals such as Oncotarget, Scientific Reports, Journal of Clinical Medicine, Molecular Neurobiology and Frontiers in Oncology.
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.