Gowtham Kumar Subbaraj

6.9k total citations · 1 hit paper
60 papers, 444 citations indexed

About

Gowtham Kumar Subbaraj is a scholar working on Molecular Biology, Genetics and Computational Theory and Mathematics. According to data from OpenAlex, Gowtham Kumar Subbaraj has authored 60 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Computational Theory and Mathematics. Recurrent topics in Gowtham Kumar Subbaraj's work include Computational Drug Discovery Methods (6 papers), Chronic Kidney Disease and Diabetes (4 papers) and Tuberculosis Research and Epidemiology (3 papers). Gowtham Kumar Subbaraj is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Chronic Kidney Disease and Diabetes (4 papers) and Tuberculosis Research and Epidemiology (3 papers). Gowtham Kumar Subbaraj collaborates with scholars based in India, Ethiopia and Saudi Arabia. Gowtham Kumar Subbaraj's co-authors include Langeswaran Kulanthaivel, Maruthaiveeran Periyasamy Balasubramanian, Senthilkumar Subramanian, Tariq Masoodi, Muzafar A. Macha, Ammira S. Al-Shabeeb Akil, Gh. Rasool Bhat, Shahab Uddin, Mayank Singh and Bilal Rah and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Biological Macromolecules.

In The Last Decade

Gowtham Kumar Subbaraj

52 papers receiving 441 citations

Hit Papers

Cancer cell plasticity: from cellular, molecular, and gen... 2024 2026 2025 2024 25 50 75 100
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Cancer cell plasticity: from cellular, molecular, and genetic mechanisms to tumor heterogeneity and drug resistance
    2024 102 citations Gowtham Kumar Subbaraj et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gowtham Kumar Subbaraj India 11 177 51 51 38 37 60 444
Yuting Yang China 9 182 1.0× 65 1.3× 65 1.3× 27 0.7× 29 0.8× 17 446
Wen-Yi Chang Taiwan 13 196 1.1× 53 1.0× 41 0.8× 36 0.9× 55 1.5× 20 515
Vipendra Kumar Singh India 10 181 1.0× 65 1.3× 64 1.3× 38 1.0× 24 0.6× 26 443
Neha Atale India 9 163 0.9× 54 1.1× 34 0.7× 25 0.7× 31 0.8× 17 465
Liting Huang China 12 236 1.3× 41 0.8× 48 0.9× 54 1.4× 39 1.1× 29 484
Saniya Arfin India 4 257 1.5× 45 0.9× 66 1.3× 22 0.6× 28 0.8× 7 520
Vinod Vijayakurup India 12 197 1.1× 36 0.7× 54 1.1× 21 0.6× 22 0.6× 17 375
Dan‐Hua He China 9 191 1.1× 43 0.8× 50 1.0× 25 0.7× 32 0.9× 12 371
Mohamed O. Mahmoud Egypt 13 200 1.1× 55 1.1× 86 1.7× 38 1.0× 34 0.9× 24 575

Countries citing papers authored by Gowtham Kumar Subbaraj

Since Specialization
Citations

This map shows the geographic impact of Gowtham Kumar Subbaraj'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 Gowtham Kumar Subbaraj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gowtham Kumar Subbaraj more than expected).

Fields of papers citing papers by Gowtham Kumar Subbaraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gowtham Kumar Subbaraj. 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 Gowtham Kumar Subbaraj. The network helps show where Gowtham Kumar Subbaraj may publish in the future.

Co-authorship network of co-authors of Gowtham Kumar Subbaraj

This figure shows the co-authorship network connecting the top 25 collaborators of Gowtham Kumar Subbaraj. A scholar is included among the top collaborators of Gowtham Kumar Subbaraj 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 Gowtham Kumar Subbaraj. Gowtham Kumar Subbaraj 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.
Subbaraj, Gowtham Kumar, et al.. (2025). Decoding the anticancer and biofilm-inhibiting efficacy of Adansonia digitata using experimental, AI-powered, and molecular modeling approaches. Frontiers in Molecular Biosciences. 12. 1666360–1666360.
2.
Ganesan, Karthikeyan, et al.. (2025). The X-ray repair cross-completing gene 1 (XRCC1) polymorphisms and lung cancer incidence – a confirmatory umbrella review of observational evidence. European Journal of Clinical and Experimental Medicine. 23(1). 245–256. 1 indexed citations
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Subbaraj, Gowtham Kumar, et al.. (2024). Association of candidate gene (INSR & THADA) polymorphism with polycystic ovary syndrome: meta-analysis and statistical power analysis. Journal of the Turkish-German Gynecological Association. 25(3). 167–178. 3 indexed citations
5.
Subbaraj, Gowtham Kumar, et al.. (2024). Explication of Pharmacological Proficiency of Phytoconstituents from Adansonia digitata Bark: An In Vitro and In Silico Approaches. Scientifica. 2024(1). 6645824–6645824. 4 indexed citations
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Subbaraj, Gowtham Kumar, et al.. (2024). Unlocking the potential of antimicrobial peptides: Beta-defensins and the future of cancer diagnostics. SHILAP Revista de lepidopterología. 11. 100584–100584.
9.
Jaganathan, Ravindran, et al.. (2023). Association of FGFR2 rs2981582 polymorphism and breast cancer susceptibility: An updated systematic review and meta-analysis. Human Gene. 37. 201212–201212. 2 indexed citations
10.
Subbaraj, Gowtham Kumar, et al.. (2023). IFN-gene Polymorphisms as a Risk Factor for Tuberculosis Infection in Asian Populations: A Meta-analysis. International Journal of Mycobacteriology. 12(3). 226–234. 4 indexed citations
11.
Kulanthaivel, Langeswaran, et al.. (2023). Exploration of Bioinformatics on Microbial Fuel Cell Technology: Trends, Challenges, and Future Prospects. Journal of Chemistry. 2023. 1–8. 10 indexed citations
12.
Subbaraj, Gowtham Kumar, et al.. (2023). Transcription Factor 7-like 2 Gene Polymorphism and Type 2 Diabetes Mellitus: A Meta-analysis. Biomedical and Biotechnology Research Journal (BBRJ). 7(4). 513–523. 4 indexed citations
13.
Perumal, Elumalai, et al.. (2023). Antioxidant, Anti-Inflammatory, and Anticarcinogenic Efficacy of an Ayurvedic Formulation: Amritotharanam Kashyam. Advances in Pharmacological and Pharmaceutical Sciences. 2023. 1–13. 8 indexed citations
14.
Subbaraj, Gowtham Kumar, et al.. (2023). Antiangiogenic Potential of Troxerutin and Chitosan Loaded Troxerutin on Chorioallantoic Membrane Model. BioMed Research International. 2023(1). 5956154–5956154. 14 indexed citations
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Kulanthaivel, Langeswaran, et al.. (2023). Enhancement of Oral Bioavailability of Drugs through Nanotechnology: Comprehensive Review and Meta-Analysis. SHILAP Revista de lepidopterología. 2(4). 187–193. 4 indexed citations
18.
Subbaraj, Gowtham Kumar, et al.. (2023). A Computational Investigation on Chitosan Derivatives using Pharmacophore-based Screening, Molecular Docking, and Molecular DynamicsSimulations against Kaposi Sarcoma. Current Computer - Aided Drug Design. 20(3). 248–263. 1 indexed citations
19.
Kulanthaivel, Langeswaran, et al.. (2022). Screening of Potential Breast Cancer Inhibitors through Molecular Docking and Molecular Dynamics Simulation. BioMed Research International. 2022(1). 3338549–3338549. 31 indexed citations
20.
Kulanthaivel, Langeswaran, et al.. (2021). Improved Antibacterial Activity of Water-Soluble Nanoformulated Kaempferol and Combretastatin Polyphenolic Compounds. International Journal of Polymer Science. 2021. 1–12. 9 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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