Kumar Subramanian
Impact in
- Pharmaceutical Science top 5%
- Advancements in Transdermal Drug Delivery
- Dermatology top 10%
- Dermatology and Skin Diseases
Papers in
-
- Cell death mechanisms and regulation 1
- Cancer therapeutics and mechanisms 1
- Oncology 3
- Drug Transport and Resistance Mechanisms 1
- Co-authors
- Akshaya Murugesan (5 shared papers)Meenakshisundaram Kandhavelu (5 shared papers)Olli Yli‐Harja (3 shared papers)Clement Penny (2 shared papers)Raghu Sinha (1 shared paper)Paul Ruff (1 shared paper)Amber Khan (1 shared paper)Phuong L. Doan (2 shared papers)
- Journals
- Biomedicines (1 paper)International Journal of Biological Macromolecules (1 paper)APOPTOSIS (1 paper)British Journal of Pharmacology (1 paper)MicroRNA (1 paper)
- Partner nations
- FinlandUnited StatesIndia
In The Last Decade
Kumar Subramanian
8 papers receiving 398 citations
Kumar Subramanian's Hit Papers
Peers
Comparison fields: 5 of 90
- Pharmaceutical Science 74
- Dermatology 33
- Applied Microbiology and Biotechnology 6
- Cancer Research 44
- Toxicology 7
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 15 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 | 258 |
| 2 | 2000 | 85 | |
| 3 | 2023 | 17 | |
| 4 | 2018 | 16 | |
| 5 | 2020 | 16 | |
| 6 | 2021 | 9 | |
| 7 | 2024 | 7 | |
| 8 | 2023 | 7 | |
| 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, Cancer Research and Genetics, having authored 9 papers that have together received 415 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (2 papers), Synthesis and biological activity (2 papers), Educational Technology and Assessment (1 paper), Advanced Data Processing Techniques (1 paper), Synthesis of Tetrazole Derivatives (1 paper), Cell death mechanisms and regulation (1 paper), Cancer therapeutics and mechanisms (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). The work is most often cited by research in Pharmaceutical Science (74 citations), Dermatology (33 citations), Applied Microbiology and Biotechnology (6 citations), Cancer Research (44 citations) and Toxicology (7 citations). Kumar Subramanian has collaborated with scholars based in Finland, United States and India. Frequent co-authors include Akshaya Murugesan, Meenakshisundaram Kandhavelu, Olli Yli‐Harja, Clement Penny, Raghu Sinha, Paul Ruff, Amber Khan, Phuong L. Doan, Konda Mani Saravanan and Atash V. Gurbanov. Their work appears in journals such as Biomedicines, International Journal of Biological Macromolecules, APOPTOSIS, British Journal of Pharmacology and MicroRNA.
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.