Subramaniam Mohana Devi

44 total papers · 679 total citations
32 papers, 539 citations indexed

About

Subramaniam Mohana Devi is a scholar working on Molecular Biology, Animal Science and Zoology and Cancer Research. According to data from OpenAlex, Subramaniam Mohana Devi has authored 32 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Animal Science and Zoology and 6 papers in Cancer Research. Recurrent topics in Subramaniam Mohana Devi's work include Animal Nutrition and Physiology (9 papers), Meat and Animal Product Quality (4 papers) and Carcinogens and Genotoxicity Assessment (4 papers). Subramaniam Mohana Devi is often cited by papers focused on Animal Nutrition and Physiology (9 papers), Meat and Animal Product Quality (4 papers) and Carcinogens and Genotoxicity Assessment (4 papers). Subramaniam Mohana Devi collaborates with scholars based in India and South Korea. Subramaniam Mohana Devi's co-authors include In Ho Kim, Balachandar Vellingiri, Mahalaxmi Iyer, Kaavya Jayaramayya, Sang In Lee, K Sasikala, Arun Meyyazhagan, Dhivya Venkatesan, Jae Won Park and Palanivel Velmurugan and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Pharmacology and Journal of Cellular Physiology.

In The Last Decade

Subramaniam Mohana Devi

32 papers receiving 521 citations

Author Peers

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

Author Last Decade Papers Cites
Subramaniam Mohana Devi 133 120 74 65 55 32 539
Lei Cui 147 1.1× 283 2.4× 28 0.4× 41 0.6× 10 0.2× 36 617
Qinqin Cao 117 0.9× 177 1.5× 21 0.3× 35 0.5× 11 0.2× 29 480
Colin R. Young 89 0.7× 114 0.9× 12 0.2× 14 0.2× 37 0.7× 40 566
W. E. Haensly 160 1.2× 93 0.8× 10 0.1× 12 0.2× 88 1.6× 24 576
V. Cigánková 37 0.3× 121 1.0× 25 0.3× 23 0.4× 91 1.7× 52 586
Kelly García 19 0.1× 231 1.9× 35 0.5× 41 0.6× 43 0.8× 29 581
Sharon A Norton 79 0.6× 99 0.8× 6 0.1× 53 0.8× 27 0.5× 42 536
S. Striem 197 1.5× 65 0.5× 32 0.4× 13 0.2× 23 0.4× 16 548
Mario Giusiani 13 0.1× 105 0.9× 79 1.1× 41 0.6× 27 0.5× 30 612
Yang Qu 47 0.4× 200 1.7× 15 0.2× 63 1.0× 7 0.1× 28 577

Countries citing papers authored by Subramaniam Mohana Devi

Since Specialization
Citations

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

Fields of papers citing papers by Subramaniam Mohana Devi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subramaniam Mohana Devi. 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 Subramaniam Mohana Devi. The network helps show where Subramaniam Mohana Devi may publish in the future.

Co-authorship network of co-authors of Subramaniam Mohana Devi

This figure shows the co-authorship network connecting the top 25 collaborators of Subramaniam Mohana Devi. A scholar is included among the top collaborators of Subramaniam Mohana Devi 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 Subramaniam Mohana Devi. Subramaniam Mohana Devi 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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2026