Kumar Subramanian
Impact in
- Pharmaceutical Science top 5%
- Advancements in Transdermal Drug Delivery
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- Dermatology and Skin Diseases
Papers in
-
- Circular RNAs in diseases 2
- Cancer therapeutics and mechanisms 1
- Oncology 4
- HER2/EGFR in Cancer Research 2
- Colorectal Cancer Treatments and Studies 1
- Co-authors
- Akshaya Murugesan (5 shared papers)Meenakshisundaram Kandhavelu (5 shared papers)Olli Yli‐Harja (3 shared papers)Clement Penny (2 shared papers)Amber Khan (1 shared paper)Paul Ruff (1 shared paper)Thiyagarajan Ramesh (2 shared papers)Konda Mani Saravanan (3 shared papers)
- Journals
- Cancers (1 paper)International Journal of Biological Macromolecules (1 paper)Diabetes Technology & Therapeutics (1 paper)MicroRNA (1 paper)APOPTOSIS (1 paper)
- Partner nations
- FinlandSouth AfricaUnited States
In The Last Decade
Kumar Subramanian
8 papers receiving 356 citations
Kumar Subramanian's Hit Papers
Peers
Comparison fields: 5 of 90
- Pharmaceutical Science 68
- Dermatology 33
- Cancer Research 46
- Applied Microbiology and Biotechnology 6
- Biophysics 12
Countries citing papers authored by Kumar Subramanian
This map shows the geographic impact of Kumar Subramanian'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 Kumar Subramanian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kumar Subramanian more than expected).
Fields of papers citing papers by Kumar Subramanian
This network shows the impact of papers produced by Kumar Subramanian. 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 Kumar Subramanian. The network helps show where Kumar Subramanian may publish in the future.
Co-authors
The 16 scholars most cited alongside Kumar Subramanian, 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 | Programmed cell death detection methods: a systematic review and a categorical comparison Hit paper breakdown → | 2022 | 227 |
| 2 | 2000 | 77 | |
| 3 | 2023 | 16 | |
| 4 | 2018 | 16 | |
| 5 | 2020 | 15 | |
| 6 | 2021 | 8 | |
| 7 | 2023 | 6 | |
| 8 | 2024 | 4 | |
| 9 | A Model for Concurrent Diagnosis in a Microprogrammable System Using a Dynamic Test Scheme. | 1977 | 0 |
About Kumar Subramanian
Kumar Subramanian is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Computational Theory and Mathematics and Cancer Research, having authored 9 papers that have together received 369 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (2 papers), Computational Drug Discovery Methods (2 papers), Synthesis and biological activity (2 papers), HER2/EGFR in Cancer Research (2 papers), Cancer-related molecular mechanisms research (2 papers), Circular RNAs in diseases (2 papers), Colorectal Cancer Treatments and Studies (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Pharmaceutical Science (68 citations), Dermatology (33 citations), Cancer Research (46 citations), Applied Microbiology and Biotechnology (6 citations) and Biophysics (12 citations). Kumar Subramanian has collaborated with scholars based in Finland, South Africa and United States. Frequent co-authors include Akshaya Murugesan, Meenakshisundaram Kandhavelu, Olli Yli‐Harja, Clement Penny, Amber Khan, Paul Ruff, Thiyagarajan Ramesh, Konda Mani Saravanan, Phuong L. Doan and Raghu Sinha. Their work appears in journals such as Cancers, International Journal of Biological Macromolecules, Diabetes Technology & Therapeutics, MicroRNA and APOPTOSIS.
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.