T.R. Santhoshkumar

1.6k total citations
53 papers, 1.2k citations indexed

About

T.R. Santhoshkumar is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, T.R. Santhoshkumar has authored 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 9 papers in Epidemiology and 7 papers in Cancer Research. Recurrent topics in T.R. Santhoshkumar's work include Cell death mechanisms and regulation (15 papers), RNA Interference and Gene Delivery (9 papers) and Autophagy in Disease and Therapy (7 papers). T.R. Santhoshkumar is often cited by papers focused on Cell death mechanisms and regulation (15 papers), RNA Interference and Gene Delivery (9 papers) and Autophagy in Disease and Therapy (7 papers). T.R. Santhoshkumar collaborates with scholars based in India, United States and Japan. T.R. Santhoshkumar's co-authors include M. Radhakrishna Pillai, J. V. Prabhakar, S. Asha Nair, Mahendra Seervi, Praveen K. Sobhan, Jackson James, Mangalam S. Nair, Padmanabhan S. Hema, G. Ravikanth and R. Uma Shaanker and has published in prestigious journals such as Journal of Biological Chemistry, Oncogene and Scientific Reports.

In The Last Decade

T.R. Santhoshkumar

50 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
T.R. Santhoshkumar India 20 702 169 128 114 114 53 1.2k
Laureano de la Vega United Kingdom 21 840 1.2× 227 1.3× 158 1.2× 134 1.2× 138 1.2× 37 1.2k
Biswanath Maity India 24 892 1.3× 199 1.2× 99 0.8× 76 0.7× 113 1.0× 84 1.7k
Qiujuan Wang China 18 635 0.9× 100 0.6× 147 1.1× 105 0.9× 108 0.9× 49 1.2k
Chuan‐Ming Xie China 18 738 1.1× 187 1.1× 176 1.4× 98 0.9× 185 1.6× 42 1.3k
Linyan Zhu China 20 842 1.2× 228 1.3× 80 0.6× 80 0.7× 155 1.4× 63 1.4k
Özgür Kütük Türkiye 24 890 1.3× 316 1.9× 87 0.7× 120 1.1× 179 1.6× 53 1.5k
Masayuki Fukui United States 19 733 1.0× 161 1.0× 105 0.8× 92 0.8× 226 2.0× 27 1.5k
Song Xu China 26 893 1.3× 170 1.0× 191 1.5× 86 0.8× 194 1.7× 65 1.6k
Chunlei Yu China 22 718 1.0× 138 0.8× 104 0.8× 97 0.9× 144 1.3× 57 1.2k

Countries citing papers authored by T.R. Santhoshkumar

Since Specialization
Citations

This map shows the geographic impact of T.R. Santhoshkumar'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 T.R. Santhoshkumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.R. Santhoshkumar more than expected).

Fields of papers citing papers by T.R. Santhoshkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.R. Santhoshkumar. 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 T.R. Santhoshkumar. The network helps show where T.R. Santhoshkumar may publish in the future.

Co-authorship network of co-authors of T.R. Santhoshkumar

This figure shows the co-authorship network connecting the top 25 collaborators of T.R. Santhoshkumar. A scholar is included among the top collaborators of T.R. Santhoshkumar 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 T.R. Santhoshkumar. T.R. Santhoshkumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Santhoshkumar, T.R., et al.. (2024). Telomerase inhibitors induce mitochondrial oxidation and DNA damage-dependent cell death rescued by Bcl-2/Bcl-xL. International Journal of Biological Macromolecules. 264(Pt 1). 130151–130151. 4 indexed citations
2.
Shine, V. J., et al.. (2024). Structural regression modelling of peptide based drug delivery vectors for targeted anti-cancer therapy. Drug Delivery and Translational Research. 15(4). 1284–1298. 2 indexed citations
3.
Santhoshkumar, T.R., et al.. (2023). Genetically encoded caspase sensor and RFP-LC3 for temporal analysis of apoptosis-autophagy. International Journal of Biological Macromolecules. 257(Pt 2). 128807–128807.
4.
Shine, V. J., et al.. (2023). A high-throughput screening system for SARS-CoV-2 entry inhibition, syncytia formation and cell toxicity. Biological Procedures Online. 25(1). 22–22. 4 indexed citations
5.
Darvin, Pramod, Easwaran Sreekumar, Shijulal Nelson‐Sathi, et al.. (2022). A rapid bead-based assay for screening of SARS-CoV-2 neutralizing antibodies. PubMed. 5(2). 100–110. 3 indexed citations
6.
Velikkakath, Anoop Kumar G., et al.. (2022). Endosomal-associated RFFL facilitates mitochondrial clearance by enhancing PRKN/parkin recruitment to mitochondria. Autophagy. 18(12). 2851–2864. 9 indexed citations
7.
Santhoshkumar, T.R., et al.. (2022). Real-time simultaneous imaging of temporal alterations in cytoplasmic and mitochondrial redox in single cells during cell division and cell death. Free Radical Biology and Medicine. 194. 33–41. 4 indexed citations
8.
Santhoshkumar, T.R., et al.. (2022). Quantitative Analysis of Apoptosis and Necrosis in Live Cells Using Flow Cytometry. Methods in molecular biology. 2543. 57–69. 4 indexed citations
9.
Sahayasheela, Vinodh J, et al.. (2020). Discovery of 3-(benzofuran-2-ylmethyl)-1H-indole derivatives as potential autophagy inducers in cervical cancer cells. Bioorganic & Medicinal Chemistry Letters. 30(19). 127431–127431. 17 indexed citations
10.
11.
Sanawar, Rahul, Vipin Mohan Dan, T.R. Santhoshkumar, Rakesh Kumar, & M. Radhakrishna Pillai. (2019). Estrogen receptor-α regulation of microRNA-590 targets FAM171A1—a modifier of breast cancer invasiveness. Oncogenesis. 8(1). 5–5. 10 indexed citations
12.
Santhoshkumar, T.R., et al.. (2017). A quantitative real-time approach for discriminating apoptosis and necrosis. Cell Death Discovery. 3(1). 16101–16101. 41 indexed citations
13.
Lankadasari, Manendra Babu, Sabira Mohammed, VS Binu, et al.. (2017). Cardamonin inhibits colonic neoplasia through modulation of MicroRNA expression. Scientific Reports. 7(1). 13945–13945. 44 indexed citations
14.
Kumar, Rakesh, et al.. (2017). Signaling coupled epigenomic regulation of gene expression. Oncogene. 36(43). 5917–5926. 23 indexed citations
15.
Vartak, Supriya V., Mahesh Hegde, Snehal Gaikwad, et al.. (2016). A novel inhibitor of BCL2, Disarib abrogates tumor growth while sparing platelets, by activating intrinsic pathway of apoptosis. Biochemical Pharmacology. 122. 10–22. 23 indexed citations
16.
Sobhan, Praveen K., Mahendra Seervi, Jeena Joseph, et al.. (2012). Immortalized Functional Endothelial Progenitor Cell Lines from Umbilical Cord Blood for Vascular Tissue Engineering. Tissue Engineering Part C Methods. 18(11). 890–902. 9 indexed citations
17.
Seervi, Mahendra, et al.. (2012). Endoplasmic Reticulum-Targeted Bcl-2 Inhibitable Mitochondrial Fragmentation Initiates ER Stress-Induced Cell Death. Advances in experimental medicine and biology. 749. 83–95. 3 indexed citations
18.
19.
Seervi, Mahendra, et al.. (2011). Essential requirement of cytochrome c release for caspase activation by procaspase-activating compound defined by cellular models. Cell Death and Disease. 2(9). e207–e207. 43 indexed citations
20.
Parthasarathy, V., et al.. (2010). Induction of apoptosis in human breast cancer cell line MCF-7 by phytochemicals from Gmelina asiatica. AFRICAN JOURNAL OF BIOTECHNOLOGY. 9(28). 4451–4456. 15 indexed citations

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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