Prashant Kumar
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer, Hypoxia, and Metabolism
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
Papers in
-
- Ubiquitin and proteasome pathways 10
- Glycosylation and Glycoproteins Research 7
- Epigenetics and DNA Methylation 6
- Oncology 25
- Cancer Cells and Metastasis 10
- Peptidase Inhibition and Analysis 5
- Co-authors
- Jean Paul Thiery (6 shared papers)Tuan Zea Tan (3 shared papers)Harsha Gowda (9 shared papers)Annapoorni Rangarajan (4 shared papers)Karl Simin (4 shared papers)Chwee Teck Lim (2 shared papers)Bee Luan Khoo (2 shared papers)Majid Ebrahimi Warkiani (1 shared paper)
- Journals
- Oncotarget (5 papers)Molecular Neurobiology (3 papers)Frontiers in Oncology (3 papers)Scientific Reports (3 papers)Journal of Clinical Medicine (3 papers)
- Partner nations
- IndiaUnited StatesSingapore
In The Last Decade
Prashant Kumar
80 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 116
- Cancer Research 268
- Oncology 421
- Molecular Biology 611
- Immunology and Allergy 30
- Immunology 107
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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 136 | |
| 2 | 2015 | 121 | |
| 3 | 2005 | 62 | |
| 4 | 2014 | 59 | |
| 5 | 2018 | 51 | |
| 6 | 2019 | 49 | |
| 7 | 2017 | 31 | |
| 8 | 2016 | 29 | |
| 9 | 2016 | 27 | |
| 10 | 2014 | 26 | |
| 11 | 2022 | 26 | |
| 12 | 2023 | 24 | |
| 13 | 2012 | 23 | |
| 14 | 2017 | 22 | |
| 15 | 2020 | 21 | |
| 16 | 2020 | 20 | |
| 17 | 2019 | 20 | |
| 18 | 2019 | 19 | |
| 19 | 2023 | 19 | |
| 20 | 2004 | 19 |
About Prashant Kumar
Prashant Kumar is a scholar working on Molecular Biology, Oncology, Surgery, Pulmonary and Respiratory Medicine and Cancer Research, having authored 88 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (10 papers), Cancer Cells and Metastasis (10 papers), Cancer Genomics and Diagnostics (10 papers), Endoplasmic Reticulum Stress and Disease (8 papers), Glycosylation and Glycoproteins Research (7 papers), Epigenetics and DNA Methylation (6 papers), Bladder and Urothelial Cancer Treatments (6 papers) and Peptidase Inhibition and Analysis (5 papers). The work is most often cited by research in Cancer Research (268 citations), Oncology (421 citations), Molecular Biology (611 citations), Immunology and Allergy (30 citations) and Immunology (107 citations). Prashant Kumar has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Jean Paul Thiery, Tuan Zea Tan, Harsha Gowda, Annapoorni Rangarajan, Karl Simin, Chwee Teck Lim, Bee Luan Khoo, Majid Ebrahimi Warkiani, Samuel G.W. Ow and K. Sekar. Their work appears in journals such as Oncotarget, Molecular Neurobiology, Frontiers in Oncology, Scientific Reports and Journal of Clinical Medicine.
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.