N. Satheeshkumar

1.4k total citations
49 papers, 992 citations indexed

About

N. Satheeshkumar is a scholar working on Analytical Chemistry, Endocrinology, Diabetes and Metabolism and Pharmacology. According to data from OpenAlex, N. Satheeshkumar has authored 49 papers receiving a total of 992 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Analytical Chemistry, 12 papers in Endocrinology, Diabetes and Metabolism and 11 papers in Pharmacology. Recurrent topics in N. Satheeshkumar's work include Analytical Methods in Pharmaceuticals (15 papers), Analytical Chemistry and Chromatography (7 papers) and Medicinal Plants and Neuroprotection (5 papers). N. Satheeshkumar is often cited by papers focused on Analytical Methods in Pharmaceuticals (15 papers), Analytical Chemistry and Chromatography (7 papers) and Medicinal Plants and Neuroprotection (5 papers). N. Satheeshkumar collaborates with scholars based in India, United States and Japan. N. Satheeshkumar's co-authors include Pulok K. Mukherjee, Kumar Venkatesan, David Paul, S. Shantikumar, B. P. Saha, R. Srinivas, Arun Bandyopadhyay, Santanu Bhadra, V.G.M. Naidu and Debajyoti Mukherjee and has published in prestigious journals such as Journal of Ethnopharmacology, Phytotherapy Research and Chemico-Biological Interactions.

In The Last Decade

N. Satheeshkumar

46 papers receiving 921 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. Satheeshkumar India 18 285 228 198 170 170 49 992
Sathiyanarayanan Lohidasan India 18 188 0.7× 211 0.9× 207 1.0× 175 1.0× 134 0.8× 66 918
Awantika Singh India 20 325 1.1× 377 1.7× 153 0.8× 199 1.2× 191 1.1× 45 1.1k
Junpeng Xing China 19 220 0.8× 557 2.4× 160 0.8× 125 0.7× 187 1.1× 57 1.2k
Haiyan Xu China 17 199 0.7× 322 1.4× 99 0.5× 94 0.6× 97 0.6× 34 1.0k
Xuelei Xin China 19 268 0.9× 462 2.0× 179 0.9× 83 0.5× 126 0.7× 69 1.1k
Fazel Shamsa Iran 15 234 0.8× 276 1.2× 84 0.4× 150 0.9× 145 0.9× 29 1.0k
Jinlan Ruan China 22 463 1.6× 749 3.3× 205 1.0× 179 1.1× 171 1.0× 100 1.9k
Jolanta Nazaruk Poland 20 375 1.3× 470 2.1× 187 0.9× 142 0.8× 224 1.3× 52 1.2k
Yu‐Chiao Yang Taiwan 22 211 0.7× 480 2.1× 77 0.4× 116 0.7× 188 1.1× 50 1.3k
Ahmed I. Foudah Saudi Arabia 22 246 0.9× 456 2.0× 146 0.7× 278 1.6× 278 1.6× 137 1.6k

Countries citing papers authored by N. Satheeshkumar

Since Specialization
Citations

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

Fields of papers citing papers by N. Satheeshkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Satheeshkumar

This figure shows the co-authorship network connecting the top 25 collaborators of N. Satheeshkumar. A scholar is included among the top collaborators of N. Satheeshkumar 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 N. Satheeshkumar. N. Satheeshkumar 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.
Satheeshkumar, N., et al.. (2025). Grey wolf optimizer with softmax-regressed and tanimoto reweight for AI-ML-based wireless sensor network routing. Peer-to-Peer Networking and Applications. 18(3).
2.
Selvakumar, T., et al.. (2023). Non-chemical weed management in maize: An innovative way of weed management. The Pharma Innovation. 12(9). 2571–2574. 1 indexed citations
3.
Paul, David, et al.. (2018). AMPK activating and anti adipogenic potential of Hibiscus rosa sinensis flower in 3T3-L1 cells. Journal of Ethnopharmacology. 233. 123–130. 27 indexed citations
4.
Paul, David, et al.. (2018). Novel Bruton tyrosine kinase inhibitor acalabrutinib quantification by validated LC-MS/MS method: An application to pharmacokinetic study in Sprague Dawley rats. Journal of Pharmaceutical and Biomedical Analysis. 164. 509–513. 17 indexed citations
5.
6.
Paul, David, et al.. (2017). A validated UHPLC-QTOF-MS method for quantification of metformin and teneligliptin in rat plasma: Application to pharmacokinetic interaction study. Journal of Pharmaceutical and Biomedical Analysis. 143. 1–8. 28 indexed citations
7.
Paul, David, et al.. (2017). A validated LC–MS/MS method for the estimation of glimepiride and pitavastatin in rat plasma: Application to drug interaction studies. Journal of Chromatography B. 1046. 218–225. 12 indexed citations
8.
Samanthula, Gananadhamu, et al.. (2016). LC–ESI–MS/MS evaluation of forced degradation behaviour of silodosin: In vitro anti cancer activity evaluation of silodosin and major degradation products. Journal of Pharmaceutical and Biomedical Analysis. 134. 1–10. 13 indexed citations
9.
Roy, Biswajit, et al.. (2016). Synthesis and in vitro antiviral evaluation of 4-substituted 3,4-dihydropyrimidinones. Bioorganic & Medicinal Chemistry Letters. 27(2). 139–142. 37 indexed citations
10.
Satheeshkumar, N., et al.. (2016). Spices: Potential Therapeutics for Alzheimer’s Disease. Advances in neurobiology. 12. 57–78. 4 indexed citations
11.
Satheeshkumar, N., et al.. (2015). QBD BASED RP-HPLC METHOD FOR SCREENING AND ANALYSIS OF TELAPRAVIR AND 7 OTHER ANTIRETROVIRAL AGENTS. INDIAN DRUGS. 52(2). 20–33. 1 indexed citations
12.
Satheeshkumar, N., et al.. (2014). Phytomedicines as potential inhibitors of β amyloid aggregation: significance to Alzheimer's disease. Chinese Journal of Natural Medicines. 12(11). 801–818. 19 indexed citations
13.
Satheeshkumar, N., et al.. (2013). A Stability-Indicating Reversed-Phase High-Performance Liquid Chromatography Method for Ambrisentan: An Endothelin Receptor Antagonist. Journal of Chromatographic Science. 52(8). 894–898. 7 indexed citations
14.
Mukherjee, Pulok K., et al.. (2011). Lead Finding for Acetyl Cholinesterase Inhibitors from Natural Origin: Structure Activity Relationship and Scope. Mini-Reviews in Medicinal Chemistry. 11(3). 247–262. 14 indexed citations
15.
Satheeshkumar, N., et al.. (2009). Acetylcholinesterase enzyme inhibitory potential of standardized extract of Trigonella foenum graecum L and its constituents. Phytomedicine. 17(3-4). 292–295. 87 indexed citations
16.
Satheeshkumar, N., et al.. (2009). Acetylcholinesterase inhibitory potential of a carbazole alkaloid, mahanimbine, from Murraya koenigii. Phytotherapy Research. 24(4). 629–631. 38 indexed citations
17.
Mukherjee, Pulok K., N. Satheeshkumar, & Michael Heinrich. (2008). Plant made pharmaceuticals (PMPs)- development of natural health products from bio-diversity. Indian Journal of Pharmaceutical Education and Research. 42(2). 113. 8 indexed citations
18.
Mukherjee, Pulok K., et al.. (2008). The Ayurvedic medicine Clitoria ternatea—From traditional use to scientific assessment. Journal of Ethnopharmacology. 120(3). 291–301. 266 indexed citations
19.
Satheeshkumar, N., et al.. (1978). Relationship between anti-inflammatory, antiproteolytic and antihemolytic properties of some newer substituted S-triazole-2-thiols.. PubMed. 21. 223–7. 1 indexed citations
20.
Satheeshkumar, N., et al.. (1961). Basal metabolic rate in normal Indian adult males.. The Indian Journal of Medical Research. 49. 702–709. 1 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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