M Chandrasekar

137 total papers · 1.2k total citations
62 papers, 970 citations indexed

About

M Chandrasekar is a scholar working on Molecular Biology, Pharmacology and Organic Chemistry. According to data from OpenAlex, M Chandrasekar has authored 62 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 11 papers in Pharmacology and 9 papers in Organic Chemistry. Recurrent topics in M Chandrasekar's work include Drug Solubulity and Delivery Systems (5 papers), Inflammatory mediators and NSAID effects (4 papers) and Nanoparticle-Based Drug Delivery (4 papers). M Chandrasekar is often cited by papers focused on Drug Solubulity and Delivery Systems (5 papers), Inflammatory mediators and NSAID effects (4 papers) and Nanoparticle-Based Drug Delivery (4 papers). M Chandrasekar collaborates with scholars based in India, United States and Indonesia. M Chandrasekar's co-authors include M. J. Nanjan, Manal Mohammed, S Ramamurthy, B. R. Prashantha Kumar, B. Suresh, Udai Vir Singh Sara, B Suresh, Jubie Selvaraj, Praveen Thaggikuppe Krishnamurthy and Yasam Venkata Ramesh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Ethnopharmacology and International Journal of Biological Macromolecules.

In The Last Decade

M Chandrasekar

56 papers receiving 924 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M Chandrasekar 443 177 175 108 97 62 970
Jamaludin Mohamad 400 0.9× 132 0.7× 203 1.2× 78 0.7× 105 1.1× 45 920
Shakti Prasad Pattanayak 399 0.9× 153 0.9× 223 1.3× 70 0.6× 114 1.2× 58 1.1k
Zabeer Ahmed 361 0.8× 150 0.8× 214 1.2× 112 1.0× 76 0.8× 83 922
Majid Khan 338 0.8× 212 1.2× 194 1.1× 101 0.9× 79 0.8× 45 875
Rasha R. Ahmed 251 0.6× 179 1.0× 129 0.7× 75 0.7× 96 1.0× 44 953
Nusrat Shafiq 423 1.0× 171 1.0× 118 0.7× 59 0.5× 56 0.6× 71 1.1k
Farhan Zameer 280 0.6× 204 1.2× 181 1.0× 158 1.5× 138 1.4× 59 1.0k
Tahir Ali Chohan 314 0.7× 146 0.8× 118 0.7× 72 0.7× 75 0.8× 59 862
Ramakrishna Vadde 425 1.0× 105 0.6× 204 1.2× 54 0.5× 74 0.8× 52 1.1k
Harukazu Fukami 389 0.9× 140 0.8× 211 1.2× 89 0.8× 164 1.7× 48 1.1k

Countries citing papers authored by M Chandrasekar

Since Specialization
Citations

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

Fields of papers citing papers by M Chandrasekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Chandrasekar

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

All Works

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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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