Subramaniam Mohana Devi
- Animal Science and Zoology top 5%
- Molecular Biology
- Neurology
- Cancer Research
- Health, Toxicology and Mutagenesis
- Co-authors
- In Ho KimBalachandar VellingiriMahalaxmi IyerKaavya JayaramayyaSang In LeeK SasikalaArun MeyyazhaganDhivya Venkatesan
- Topics
- Animal Nutrition and Physiology (9 papers)Meat and Animal Product Quality (4 papers)Carcinogens and Genotoxicity Assessment (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaEuropean Journal of PharmacologyJournal of Cellular Physiology
- Partner nations
- IndiaSouth Korea
In The Last Decade
Subramaniam Mohana Devi
32 papers receiving 526 citations
Peers
Comparison fields: 5 of 120
- Animal Science and Zoology 134
- Molecular Biology 120
- Neurology 74
- Cancer Research 65
- Health, Toxicology and Mutagenesis 58
Countries citing papers authored by Subramaniam Mohana Devi
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 10 | |
| 3 | 13 | |
| 4 | 45 | |
| 5 | 31 | |
| 6 | 14 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 37 | |
| 10 | 18 | |
| 11 | 1 | |
| 12 | 81 | |
| 13 | 8 | |
| 14 | 7 | |
| 15 | 9 | |
| 16 | 13 | |
| 17 | 21 | |
| 18 | 41 | |
| 19 | 14 | |
| 20 | 9 |
About Subramaniam Mohana Devi
Subramaniam Mohana Devi is a scholar working on Animal Science and Zoology, Small Animals and Biological Psychiatry, having authored 32 papers that have together received 544 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (9 papers), Meat and Animal Product Quality (4 papers) and Carcinogens and Genotoxicity Assessment (4 papers). The work is most often cited by research in Animal Science and Zoology (134 citations), Small Animals (52 citations) and Biological Psychiatry (16 citations). Subramaniam Mohana Devi has collaborated with scholars based in India and South Korea. Frequent 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 Narayanasamy Arul. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Pharmacology and Journal of Cellular Physiology.
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.