Subrahmanyam Kunala
Impact in
- Dermatology top 0.5%
- Skin Protection and Aging
- Cancer and Skin Lesions
- Oncology top 5%
- Cancer-related Molecular Pathways
- Cutaneous Melanoma Detection and Management
Papers in
-
- DNA Repair Mechanisms 3
- CRISPR and Genetic Engineering 1
- Hedgehog Signaling Pathway Studies 1
- Oncology 3
- Cancer-related Molecular Pathways 2
- CAR-T cell therapy research 1
- Co-authors
- Douglas E. Brash (4 shared papers)David J. Leffell (2 shared papers)Annemarie Ziegler (2 shared papers)Alan S. Jonason (2 shared papers)Howard P. Baden (1 shared paper)P. Shapiro (1 shared paper)H W Sharma (1 shared paper)Alan J. Halperin (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)International Journal of Cancer (1 paper)Journal of Molecular Biology (1 paper)PubMed (1 paper)
- Partner nations
- United States
In The Last Decade
Subrahmanyam Kunala
6 papers receiving 1.5k citations
Subrahmanyam Kunala's Hit Papers
Peers
Comparison fields: 5 of 101
- Dermatology 631
- Oncology 661
- Cancer Research 253
- Epidemiology 424
- Molecular Biology 781
Countries citing papers authored by Subrahmanyam Kunala
This map shows the geographic impact of Subrahmanyam Kunala'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 Subrahmanyam Kunala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subrahmanyam Kunala more than expected).
Fields of papers citing papers by Subrahmanyam Kunala
This network shows the impact of papers produced by Subrahmanyam Kunala. 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 Subrahmanyam Kunala. The network helps show where Subrahmanyam Kunala may publish in the future.
Co-authors
The 15 scholars most cited alongside Subrahmanyam Kunala, 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 | Mutation hotspots due to sunlight in the p53 gene of nonmelanoma skin cancers. Hit paper breakdown → | 1993 | 588 |
| 2 | Frequent clones of p53-mutated keratinocytes in normal human skin Hit paper breakdown → | 1996 | 504 |
| 3 | Sunlight and sunburn in human skin cancer: p53, apoptosis, and tumor promotion. | 1996 | 312 |
| 4 | 1992 | 57 | |
| 5 | 2001 | 32 | |
| 6 | 1995 | 28 |
About Subrahmanyam Kunala
Subrahmanyam Kunala is a scholar working on Molecular Biology, Oncology, Dermatology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 6 papers that have together received 1.5k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (3 papers), Cancer-related Molecular Pathways (2 papers), CAR-T cell therapy research (1 paper), Carcinogens and Genotoxicity Assessment (1 paper), CRISPR and Genetic Engineering (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Hedgehog Signaling Pathway Studies (1 paper). The work is most often cited by research in Dermatology (631 citations), Oncology (661 citations), Cancer Research (253 citations), Epidemiology (424 citations) and Molecular Biology (781 citations). Subrahmanyam Kunala has collaborated with scholars based in United States. Frequent co-authors include Douglas E. Brash, David J. Leffell, Annemarie Ziegler, Alan S. Jonason, Howard P. Baden, P. Shapiro, H W Sharma, Alan J. Halperin, Mae R. Gailani and A. Bale. Their work appears in journals such as Proceedings of the National Academy of Sciences, International Journal of Cancer, Journal of Molecular Biology and PubMed.
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.