Munish Kumar
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- CAR-T cell therapy research
Papers in
-
- Glutathione Transferases and Polymorphisms 5
- Circular RNAs in diseases 5
-
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 3
- Carcinogens and Genotoxicity Assessment 3
- Co-authors
- Yong Li (5 shared papers)Xiaodong Ma (4 shared papers)Paras K. Mishra (1 shared paper)Suresh C. Tyagi (1 shared paper)Neetu Tyagi (1 shared paper)Himanshu Prasad (5 shared papers)Saibyasachi N. Choudhury (1 shared paper)Mo‐Fang Liu (1 shared paper)
- Journals
- Cells (2 papers)Oncogene (1 paper)Protein & Cell (1 paper)Anesthesia & Analgesia (1 paper)European Journal of Cancer (1 paper)
- Partner nations
- IndiaUnited StatesChina
In The Last Decade
Munish Kumar
41 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 112
- Cancer Research 352
- Oncology 177
- Immunology 134
- Molecular Biology 418
- Biological Psychiatry 14
Countries citing papers authored by Munish Kumar
This map shows the geographic impact of Munish 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 Munish Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Munish Kumar more than expected).
Fields of papers citing papers by Munish Kumar
This network shows the impact of papers produced by Munish 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 Munish Kumar. The network helps show where Munish Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Munish 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 182 | |
| 2 | 2018 | 119 | |
| 3 | 2009 | 118 | |
| 4 | 2018 | 106 | |
| 5 | Immunomodulatory effect of Moringa oleifera Lam. extract on cyclophosphamide induced toxicity in mice. | 2010 | 83 |
| 6 | 2008 | 72 | |
| 7 | 2012 | 55 | |
| 8 | 2007 | 43 | |
| 9 | 2018 | 33 | |
| 10 | 2022 | 26 | |
| 11 | 2014 | 26 | |
| 12 | 2018 | 23 | |
| 13 | 2002 | 18 | |
| 14 | 2022 | 17 | |
| 15 | 2019 | 17 | |
| 16 | 2023 | 9 | |
| 17 | 2018 | 9 | |
| 18 | 2024 | 8 | |
| 19 | 2025 | 7 | |
| 20 | 2022 | 7 |
About Munish Kumar
Munish Kumar is a scholar working on Molecular Biology, Cancer Research, Plant Science, Pharmacology and Immunology, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Glutathione Transferases and Polymorphisms (5 papers), Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (3 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Aquaculture Nutrition and Growth (2 papers) and Natural Antidiabetic Agents Studies (2 papers). The work is most often cited by research in Cancer Research (352 citations), Oncology (177 citations), Immunology (134 citations), Molecular Biology (418 citations) and Biological Psychiatry (14 citations). Munish Kumar has collaborated with scholars based in India, United States and China. Frequent co-authors include Yong Li, Xiaodong Ma, Paras K. Mishra, Suresh C. Tyagi, Neetu Tyagi, Himanshu Prasad, Saibyasachi N. Choudhury, Mo‐Fang Liu, Hani Gabra and Jane Hook. Their work appears in journals such as Cells, Oncogene, Protein & Cell, Anesthesia & Analgesia and European Journal of 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.