Kumar Subramanian

15 total papers · 534 total citations
9 papers, 355 citations indexed

About

Kumar Subramanian is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Kumar Subramanian has authored 9 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Organic Chemistry. Recurrent topics in Kumar Subramanian's work include Cancer-related molecular mechanisms research (2 papers), MicroRNA in disease regulation (2 papers) and Synthesis and biological activity (2 papers). Kumar Subramanian is often cited by papers focused on Cancer-related molecular mechanisms research (2 papers), MicroRNA in disease regulation (2 papers) and Synthesis and biological activity (2 papers). Kumar Subramanian collaborates with scholars based in Finland, United States and South Africa. Kumar Subramanian's co-authors include Meenakshisundaram Kandhavelu, Akshaya Murugesan, Olli Yli‐Harja, Clement Penny, Amber Khan, Paul Ruff, Phuong L. Doan, Konda Mani Saravanan, Raghu Sinha and Nuno R. Candeias and has published in prestigious journals such as British Journal of Pharmacology, European Journal of Pharmacology and International Journal of Biological Macromolecules.

In The Last Decade

Kumar Subramanian

8 papers receiving 343 citations

Hit Papers

Programmed cell death det... 2022 2026 2023 2024 2022 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kumar Subramanian 133 68 45 44 43 9 355
Guang Wan 184 1.4× 60 0.9× 49 1.1× 105 2.4× 37 0.9× 14 370
Jimmy Tam Huy Pham 111 0.8× 39 0.6× 21 0.5× 21 0.5× 16 0.4× 13 398
Mahzad Motallebi 158 1.2× 27 0.4× 47 1.0× 37 0.8× 24 0.6× 7 385
Lalana Kongkaneramit 198 1.5× 94 1.4× 17 0.4× 22 0.5× 36 0.8× 10 397
Eun Jung An 130 1.0× 41 0.6× 33 0.7× 18 0.4× 67 1.6× 12 376
Míriam Zanuy 163 1.2× 67 1.0× 13 0.3× 49 1.1× 27 0.6× 11 354
Rayees Ahmad Padder 147 1.1× 21 0.3× 17 0.4× 64 1.5× 28 0.7× 7 353
Mariana Colombo 123 0.9× 98 1.4× 32 0.7× 43 1.0× 25 0.6× 14 391
Kai-Di Zhao 131 1.0× 41 0.6× 14 0.3× 35 0.8× 52 1.2× 11 334
Gabriele Dadalt Souto 73 0.5× 112 1.6× 36 0.8× 23 0.5× 25 0.6× 9 341

Countries citing papers authored by Kumar Subramanian

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kumar Subramanian

This figure shows the co-authorship network connecting the top 25 collaborators of Kumar Subramanian. A scholar is included among the top collaborators of Kumar Subramanian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kumar Subramanian. Kumar Subramanian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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