Madhu Kumar
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- Melanoma and MAPK Pathways
- Circular RNAs in diseases
- RNA modifications and cancer
- PI3K/AKT/mTOR signaling in cancer
- Protein Kinase Regulation and GTPase Signaling
Papers in
- Co-authors
- Tyler Jacks (4 shared papers)Phillip A. Sharp (2 shared papers)Margaret S. Ebert (1 shared paper)Stefan J. Erkeland (1 shared paper)Julian Downward (6 shared papers)Gordon Stamp (3 shared papers)Markus E. Diefenbacher (3 shared papers)Michael D. Feldman (3 shared papers)
- Journals
- European Journal of Ophthalmology (2 papers)Cell (2 papers)Cancer Cell (2 papers)Clinical Cancer Research (1 paper)Cancer Discovery (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Madhu Kumar
37 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Cancer Research 1.1k
- Molecular Biology 2.3k
- Oncology 828
- Pulmonary and Respiratory Medicine 458
- Pathology and Forensic Medicine 225
Countries citing papers authored by Madhu Kumar
This map shows the geographic impact of Madhu 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 Madhu Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madhu Kumar more than expected).
Fields of papers citing papers by Madhu Kumar
This network shows the impact of papers produced by Madhu 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 Madhu Kumar. The network helps show where Madhu Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Madhu 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | BRAF and RAS mutations in human lung cancer and melanoma. Hit paper breakdown → | 2002 | 841 |
| 2 | Suppression of non-small cell lung tumor development by the let-7 microRNA family Hit paper breakdown → | 2008 | 707 |
| 3 | 2009 | 349 | |
| 4 | 2013 | 239 | |
| 5 | 2012 | 215 | |
| 6 | 2013 | 139 | |
| 7 | 2013 | 123 | |
| 8 | 2011 | 79 | |
| 9 | 2009 | 72 | |
| 10 | 2006 | 53 | |
| 11 | 2012 | 51 | |
| 12 | 2019 | 25 | |
| 13 | 2022 | 10 | |
| 14 | 2023 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2012 | 3 | |
| 17 | 2018 | 3 | |
| 18 | 2019 | 3 | |
| 19 | 2015 | 3 | |
| 20 | 2021 | 2 |
About Madhu Kumar
Madhu Kumar is a scholar working on Oncology, Surgery, Molecular Biology, Pulmonary and Respiratory Medicine and Ophthalmology, having authored 54 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cancer Diagnosis and Treatment (7 papers), RNA modifications and cancer (6 papers), Metastasis and carcinoma case studies (5 papers), MicroRNA in disease regulation (5 papers), Intraocular Surgery and Lenses (5 papers), Cancer and Skin Lesions (5 papers), Retinal and Macular Surgery (4 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (2.3k citations), Oncology (828 citations), Pulmonary and Respiratory Medicine (458 citations) and Pathology and Forensic Medicine (225 citations). Madhu Kumar has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Tyler Jacks, Phillip A. Sharp, Margaret S. Ebert, Stefan J. Erkeland, Julian Downward, Gordon Stamp, Markus E. Diefenbacher, Michael D. Feldman, Marcia S. Brose and Christine Chin. Their work appears in journals such as European Journal of Ophthalmology, Cell, Cancer Cell, Clinical Cancer Research and Cancer Discovery.
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.