Muthusamy Ramesh

712 total citations
29 papers, 474 citations indexed

About

Muthusamy Ramesh is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Muthusamy Ramesh has authored 29 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 6 papers in Organic Chemistry. Recurrent topics in Muthusamy Ramesh's work include Computational Drug Discovery Methods (8 papers), Pain Mechanisms and Treatments (4 papers) and Protein Structure and Dynamics (3 papers). Muthusamy Ramesh is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Pain Mechanisms and Treatments (4 papers) and Protein Structure and Dynamics (3 papers). Muthusamy Ramesh collaborates with scholars based in India, South Africa and Malaysia. Muthusamy Ramesh's co-authors include Mahmoud E. S. Soliman, Arunachalam Muthuraman, Parvesh Singh, Sarentha Chetty, Shailja Sood, Ramesh Gannimani, Karen Pillay, Patrick Govender, Prasad V. Bharatam and Nirmal Singh and has published in prestigious journals such as The Journal of Physical Chemistry B, Molecules and Life Sciences.

In The Last Decade

Muthusamy Ramesh

29 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muthusamy Ramesh India 13 201 104 77 70 67 29 474
Subham Das India 14 165 0.8× 170 1.6× 57 0.7× 52 0.7× 83 1.2× 42 563
Lina A. Dahabiyeh Jordan 15 288 1.4× 73 0.7× 46 0.6× 74 1.1× 69 1.0× 56 589
Mohamed A. Helal Egypt 17 327 1.6× 177 1.7× 78 1.0× 21 0.3× 81 1.2× 46 691
Anas Najjar Palestinian Territory 8 146 0.7× 78 0.8× 53 0.7× 30 0.4× 26 0.4× 11 452
Diego Eidy Chiba Brazil 5 213 1.1× 69 0.7× 34 0.4× 35 0.5× 24 0.4× 11 438
Rajesh Sonti India 13 294 1.5× 174 1.7× 33 0.4× 46 0.7× 50 0.7× 61 558
Valasani Koteswara Rao India 10 231 1.1× 172 1.7× 34 0.4× 96 1.4× 26 0.4× 20 549
Hina Shamshad Pakistan 11 344 1.7× 63 0.6× 30 0.4× 65 0.9× 40 0.6× 32 776
Meenakshi Dhanawat India 14 185 0.9× 155 1.5× 24 0.3× 35 0.5× 31 0.5× 53 631
Jessica Elena Mendieta‐Wejebe Mexico 15 318 1.6× 120 1.2× 19 0.2× 43 0.6× 93 1.4× 45 544

Countries citing papers authored by Muthusamy Ramesh

Since Specialization
Citations

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

Fields of papers citing papers by Muthusamy Ramesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muthusamy Ramesh

This figure shows the co-authorship network connecting the top 25 collaborators of Muthusamy Ramesh. A scholar is included among the top collaborators of Muthusamy Ramesh 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 Muthusamy Ramesh. Muthusamy Ramesh 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
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Ramesh, Muthusamy, et al.. (2021). DESIGN, SYNTHESIS, CHARACTERIZATION, AND BIOLOGICAL ACTIVITY OF SOME TRANSITION METAL COMPLEXES VIA NOVEL MANNICH BASE LIGAND. International Journal of Biology Pharmacy and Allied Sciences. 10(11 (SPECIAL ISSUE)). 1 indexed citations
4.
Guo, Guang‐Qin, Krishnan Anand, Muthusamy Ramesh, et al.. (2021). Peptides-based therapeutics: Emerging potential therapeutic agents for COVID-19. Therapies. 77(3). 319–328. 21 indexed citations
5.
Muthuraman, Arunachalam, et al.. (2021). Current Perspectives of Healthy Mitochondrial Function for Healthy Neurons. Current Drug Targets. 22(14). 1688–1703. 3 indexed citations
6.
Ramesh, Muthusamy & Arunachalam Muthuraman. (2020). Quantitative Structure-Activity Relationship (QSAR) Studies for the Inhibition of MAOs. Combinatorial Chemistry & High Throughput Screening. 23(9). 887–897. 5 indexed citations
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Ramesh, Muthusamy & Prasad V. Bharatam. (2018). Formation of a Toxic Quinoneimine Metabolite from Diclofenac: A Quantum Chemical Study. Drug Metabolism Letters. 13(1). 64–76. 6 indexed citations
9.
Ramesh, Muthusamy, et al.. (2017). Sequence, Structural Analysis and Metrics to Define the Unique Dynamic Features of the Flap Regions Among Aspartic Proteases. The Protein Journal. 36(5). 385–396. 13 indexed citations
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Muthuraman, Arunachalam & Muthusamy Ramesh. (2016). Ischemic-reperfusion of unilateral external iliac artery in rat: A new model for vasculitic femoral neuropathy. Neuroscience Letters. 628. 10–16. 6 indexed citations
12.
Bhakat, Soumendranath, et al.. (2016). Identification of Binding Mode and Prospective Structural Features of Novel Nef Protein Inhibitors as Potential Anti-HIV Drugs. Cell Biochemistry and Biophysics. 75(1). 49–64. 10 indexed citations
13.
Chetty, Sarentha, Muthusamy Ramesh, Parvesh Singh, & Mahmoud E. S. Soliman. (2016). Recent advancements in the development of anti-tuberculosis drugs. Bioorganic & Medicinal Chemistry Letters. 27(3). 370–386. 95 indexed citations
14.
Gannimani, Ramesh, et al.. (2016). γ-Cyclodextrin capped silver nanoparticles for molecular recognition and enhancement of antibacterial activity of chloramphenicol. Journal of Inorganic Biochemistry. 157. 15–24. 36 indexed citations
15.
Vepuri, Suresh B., et al.. (2016). In Silico Characterization of the Binding Affinity of Dendrimers to Penicillin-Binding Proteins (PBPs): Can PBPs be Potential Targets for Antibacterial Dendrimers?. Applied Biochemistry and Biotechnology. 178(8). 1546–1566. 3 indexed citations
16.
Ramesh, Muthusamy, Suresh B. Vepuri, Frasia Oosthuizen, & Mahmoud E. S. Soliman. (2015). Adenosine Monophosphate-Activated Protein Kinase (AMPK) as a Diverse Therapeutic Target: A Computational Perspective. Applied Biochemistry and Biotechnology. 178(4). 810–830. 16 indexed citations
17.
Muthuraman, Arunachalam, Muthusamy Ramesh, & Shailja Sood. (2012). Ameliorative potential of montelukast on ischemia–reperfusion injury induced vasculitic neuropathic pain in rat. Life Sciences. 90(19-20). 755–762. 19 indexed citations
18.
Muthuraman, Arunachalam, et al.. (2012). Therapeutic potential of 7,8-dimethoxycoumarin on cisplatin- and ischemia/reperfusion injury-induced acute renal failure in rats. Naunyn-Schmiedeberg s Archives of Pharmacology. 385(7). 739–748. 6 indexed citations
19.
Muthuraman, Arunachalam, et al.. (2011). Mitochondrial Dependent Apoptosis: Ameliorative Effect of Flunarizine on Ischemia–Reperfusion of Celiac Artery-Induced Gastric Lesions in the Rat. Digestive Diseases and Sciences. 56(8). 2244–2251. 9 indexed citations
20.
Muthuraman, Arunachalam, Muthusamy Ramesh, & Shailja Sood. (2009). Development of animal model for vasculatic neuropathy: Induction by ischemic-reperfusion in the rat femoral artery. Journal of Neuroscience Methods. 186(2). 215–221. 38 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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