Rangachari Balamurugan

557 total citations
10 papers, 459 citations indexed

About

Rangachari Balamurugan is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Rangachari Balamurugan has authored 10 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Molecular Biology and 2 papers in Surgery. Recurrent topics in Rangachari Balamurugan's work include Natural Antidiabetic Agents Studies (5 papers), Cholesterol and Lipid Metabolism (2 papers) and Computational Drug Discovery Methods (2 papers). Rangachari Balamurugan is often cited by papers focused on Natural Antidiabetic Agents Studies (5 papers), Cholesterol and Lipid Metabolism (2 papers) and Computational Drug Discovery Methods (2 papers). Rangachari Balamurugan collaborates with scholars based in South Korea and India. Rangachari Balamurugan's co-authors include S. Ignacimuthu, Veeramuthu Duraipandiyan, Adithan Aravinthan, Antony Stalin, Muthusamy Govarthanan, Selvankumar Thangasamy, Harshit Shah, Seralathan Kamala‐Kannan, Kandasamy Selvam and Loganathan Praburaman and has published in prestigious journals such as European Journal of Pharmacology, European Journal of Medicinal Chemistry and International Journal of Nanomedicine.

In The Last Decade

Rangachari Balamurugan

10 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rangachari Balamurugan South Korea 8 135 119 115 101 76 10 459
Hussein Oyelola Bukoye Oloyede Nigeria 11 93 0.7× 101 0.8× 101 0.9× 50 0.5× 46 0.6× 27 422
Noha Swilam Egypt 11 47 0.3× 104 0.9× 102 0.9× 90 0.9× 52 0.7× 20 375
Olakunle Bamikole Afolabi Nigeria 12 96 0.7× 107 0.9× 46 0.4× 60 0.6× 74 1.0× 42 360
M Gambhire India 5 72 0.5× 131 1.1× 115 1.0× 29 0.3× 57 0.8× 7 531
B Dineshkumar India 8 124 0.9× 99 0.8× 51 0.4× 31 0.3× 88 1.2× 22 340
Priyanka Chatterjee 5 68 0.5× 214 1.8× 97 0.8× 43 0.4× 102 1.3× 9 577
Sangita Chandra 5 68 0.5× 217 1.8× 97 0.8× 43 0.4× 105 1.4× 12 584
Rakesh E. Mutha India 8 74 0.5× 143 1.2× 153 1.3× 26 0.3× 64 0.8× 17 507
Protapaditya Dey 6 68 0.5× 219 1.8× 97 0.8× 43 0.4× 113 1.5× 13 595
Muhammad Naeem Qaisar Pakistan 14 58 0.4× 248 2.1× 149 1.3× 42 0.4× 66 0.9× 46 592

Countries citing papers authored by Rangachari Balamurugan

Since Specialization
Citations

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

Fields of papers citing papers by Rangachari Balamurugan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rangachari Balamurugan

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

All Works

10 of 10 papers shown
1.
Balamurugan, Rangachari, Jin‐Kyu Park, & Jae Kwon Lee. (2020). Anti-nosemosis activity of phenolic compounds derived from Artemisia dubia and Aster scaber. Journal of Apicultural Research. 61(4). 519–529. 7 indexed citations
2.
Nagarajan, Senthil Murugan, Rangachari Balamurugan, Eunju Shin, et al.. (2019). Anti-atherosclerotic effect of herbal extracts in N(G)-nitro-L-arginine methyl ester-treated rats. Journal of Applied Biological Chemistry. 62(3). 265–273. 2 indexed citations
3.
4.
Govarthanan, Muthusamy, Loganathan Praburaman, Selvankumar Thangasamy, et al.. (2015). Sunroot mediated synthesis and characterization of silver nanoparticles and evaluation of its antibacterial and rat splenocyte cytotoxic effects. International Journal of Nanomedicine. 10. 1977–1977. 111 indexed citations
5.
6.
Balamurugan, Rangachari, Antony Stalin, Adithan Aravinthan, & Jong‐Hoon Kim. (2014). γ-sitosterol a potent hypolipidemic agent: In silico docking analysis. Medicinal Chemistry Research. 24(1). 124–130. 22 indexed citations
7.
Balamurugan, Rangachari, et al.. (2012). Antidiabetic activity of methanol extract of Acorus calamus in STZ induced diabetic rats. Asian Pacific Journal of Tropical Biomedicine. 2(2). S941–S946. 41 indexed citations
8.
Balamurugan, Rangachari, Antony Stalin, & S. Ignacimuthu. (2011). Molecular docking of γ-sitosterol with some targets related to diabetes. European Journal of Medicinal Chemistry. 47(1). 38–43. 45 indexed citations
9.
Balamurugan, Rangachari, Veeramuthu Duraipandiyan, & S. Ignacimuthu. (2011). Antidiabetic activity of γ-sitosterol isolated from Lippia nodiflora L. in streptozotocin induced diabetic rats. European Journal of Pharmacology. 667(1-3). 410–418. 134 indexed citations
10.
Balamurugan, Rangachari & S. Ignacimuthu. (2011). Antidiabetic and Hypolipidemic effect of methanol extract of Lippia nodiflora L. in streptozotocin induced diabetic rats. Asian Pacific Journal of Tropical Biomedicine. 1(1). S30–S36. 46 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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