R. Magesh

429 total citations
19 papers, 315 citations indexed

About

R. Magesh is a scholar working on Molecular Biology, Clinical Biochemistry and Physiology. According to data from OpenAlex, R. Magesh has authored 19 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Clinical Biochemistry and 4 papers in Physiology. Recurrent topics in R. Magesh's work include Metabolism and Genetic Disorders (5 papers), RNA and protein synthesis mechanisms (4 papers) and Amino Acid Enzymes and Metabolism (2 papers). R. Magesh is often cited by papers focused on Metabolism and Genetic Disorders (5 papers), RNA and protein synthesis mechanisms (4 papers) and Amino Acid Enzymes and Metabolism (2 papers). R. Magesh collaborates with scholars based in India, Qatar and Saudi Arabia. R. Magesh's co-authors include C. George Priya Doss, D. Thirumal Kumar, Hatem Zayed, S. Udhaya Kumar, Siva Ramamoorthy, P. Sneha, Iftikhar Aslam Tayubi, Chiranjib Chakraborty, Salma Younes and Nikita Jain and has published in prestigious journals such as Journal of Theoretical Biology, Phytomedicine and Frontiers in Genetics.

In The Last Decade

R. Magesh

16 papers receiving 312 citations

Peers

R. Magesh
Jing‐Yu Lin China
Hong Ni United States
Sang-Muk Oh South Korea
Xiaofang Guo China
Jiin‐Tsuey Cheng Taiwan
Ankita Singh India
Jesse D. Gelles United States
Eun-Kyung Kim South Korea
Zuzana Solárová Slovakia
Joan Compte Spain
Jing‐Yu Lin China
R. Magesh
Citations per year, relative to R. Magesh R. Magesh (= 1×) peers Jing‐Yu Lin

Countries citing papers authored by R. Magesh

Since Specialization
Citations

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

Fields of papers citing papers by R. Magesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Magesh

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

All Works

19 of 19 papers shown
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Kumar, S. Udhaya, et al.. (2023). Controlling cell proliferation by targeting cyclin-dependent kinase 6 using drug repurposing approach. Advances in protein chemistry and structural biology. 135. 97–124. 2 indexed citations
3.
Magesh, R., et al.. (2023). Exploring natural products library to identify potential inhibitors targeting isoniazid-resistant tuberculosis. Journal of Biomolecular Structure and Dynamics. 43(2). 679–693. 1 indexed citations
4.
Kumar, S. Udhaya, D. Thirumal Kumar, R. Magesh, et al.. (2022). Deciphering the effect of mutations in MMAA protein causing methylmalonic acidemia—A computational approach. Advances in protein chemistry and structural biology. 132. 199–220.
5.
Kumar, D. Thirumal, S. Udhaya Kumar, P Sathiyarajeswaran, et al.. (2022). Understanding the activating mechanism of the immune system against COVID-19 by Traditional Indian Medicine: Network pharmacology approach. Advances in protein chemistry and structural biology. 129. 275–379. 10 indexed citations
6.
Kumar, S. Udhaya, Nikita Jain, D. Thirumal Kumar, et al.. (2021). A review of novel coronavirus disease (COVID-19): based on genomic structure, phylogeny, current shreds of evidence, candidate vaccines, and drug repurposing. 3 Biotech. 11(4). 198–198. 17 indexed citations
7.
Kumar, S. Udhaya, D. Thirumal Kumar, R. Magesh, et al.. (2021). An integrative analysis to distinguish between emphysema (EML) and alpha-1 antitrypsin deficiency-related emphysema (ADL)—A systems biology approach. Advances in protein chemistry and structural biology. 127. 315–342. 18 indexed citations
8.
Magesh, R., et al.. (2021). A computational approach to analyse the amino acid variants of GLB1 protein causing GM1 Gangliosidosis. Metabolic Brain Disease. 36(3). 499–508. 4 indexed citations
9.
Kumar, D. Thirumal, et al.. (2020). Computational model to analyze and characterize the functional mutations of NOD2 protein causing inflammatory disorder – Blau syndrome. Advances in protein chemistry and structural biology. 120. 379–408. 6 indexed citations
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Doss, C. George Priya, et al.. (2019). Molecular insights of the G2019S substitution in LRRK2 kinase domain associated with Parkinson's disease: A molecular dynamics simulation approach. Journal of Theoretical Biology. 469. 163–171. 33 indexed citations
13.
Sneha, P., et al.. (2017). Analyzing the Effect of V66M Mutation in BDNF in Causing Mood Disorders. Advances in protein chemistry and structural biology. 108. 85–103. 7 indexed citations
14.
Kumar, D. Thirumal, C. George Priya Doss, P. Sneha, et al.. (2016). Influence of V54M mutation in giant muscle protein titin: a computational screening and molecular dynamics approach. Journal of Biomolecular Structure and Dynamics. 35(5). 917–928. 46 indexed citations
15.
Magesh, R. & C. George Priya Doss. (2014). Computational pipeline to identify and characterize functional mutations in ornithine transcarbamylase deficiency. 3 Biotech. 4(6). 621–634. 9 indexed citations
16.
Doss, C. George Priya & R. Magesh. (2014). Computational Identification of Pathogenic Associated nsSNPs and its Structural Impact in UROD Gene: A Molecular Dynamics Approach. Cell Biochemistry and Biophysics. 70(2). 735–746. 3 indexed citations
17.
Doss, C. George Priya, et al.. (2014). Influence of the SNPs on the structural stability of CBS protein: Insight from molecular dynamics simulations. Frontiers in Biology. 9(6). 504–518. 6 indexed citations
18.
Doss, C. George Priya, et al.. (2013). In silico profiling and structural insights of missense mutations in RET protein kinase domain by molecular dynamics and docking approach. Molecular BioSystems. 10(3). 421–436. 27 indexed citations
19.
Magesh, R. & C. George Priya Doss. (2012). Computational Methods to Work as First-Pass Filter in Deleterious SNP Analysis of Alkaptonuria. The Scientific World JOURNAL. 2012. 1–9. 11 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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