Gowtham Kumar Subbaraj

6.9k citations
60 papers · 444 indexed · 1 hit paper · h-index 11
Topics
Computational Drug Discovery Methods (6 papers)Chronic Kidney Disease and Diabetes (4 papers)Tuberculosis Research and Epidemiology (3 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEInternational 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...2024202620252024255075100

Peers

Gowtham Kumar Subbaraj
Comparison fields: 5 of 102
  • Molecular Biology 177
  • Oncology 51
  • Cancer Research 51
  • Pharmacology 38
  • Pharmacology 37
Replace Ariane Mbemi with:
Ariane Mbemi United States
Mohamed O. Mahmoud Egypt
Andrea Čumová Czechia
Xiaoliu Liang China
Tiantian Xu China
Nisansala Chandimali South Korea
Abdulmohsin J. Alamoudi Saudi Arabia
Yan‐Wei Xiang China
Neha Atale India
Soha Osama Hassanin Egypt
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Citations per field
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Ariane Mbemi · 1×
Citations per year

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

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About Gowtham Kumar Subbaraj

Gowtham Kumar Subbaraj is a scholar working on Toxicology, Nephrology and Geriatrics and Gerontology, having authored 60 papers that have together received 444 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Chronic Kidney Disease and Diabetes (4 papers) and Tuberculosis Research and Epidemiology (3 papers). The work is most often cited by research in Pharmacology (38 citations), Biochemistry (24 citations) and Cancer Research (51 citations). Gowtham Kumar Subbaraj has collaborated with scholars based in India, Ethiopia and Saudi Arabia. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Biological Macromolecules.

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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