Madhan Subramanian
- Reproductive Medicine top 2%
- Molecular Biology
- Public Health, Environmental and Occupational Health top 10%
- Genetics
- Physiology
- Co-authors
- A. G. SaccoEdward C. YurewiczPriya BalasubramanianFrancesco J. DeMayoErnest L. AbelP.S. MohanKumarSheba M.J. MohanKumarRichard R. Gala
- Topics
- Stress Responses and Cortisol (8 papers)Adipose Tissue and Metabolism (8 papers)Molecular Biology Techniques and Applications (7 papers)
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
Madhan Subramanian
75 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 102
- Reproductive Medicine 347
- Molecular Biology 320
- Public Health, Environmental and Occupational Health 240
- Genetics 175
- Physiology 166
Countries citing papers authored by Madhan Subramanian
This map shows the geographic impact of Madhan Subramanian'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 Madhan Subramanian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madhan Subramanian more than expected).
Fields of papers citing papers by Madhan Subramanian
This network shows the impact of papers produced by Madhan Subramanian. 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 Madhan Subramanian. The network helps show where Madhan Subramanian may publish in the future.
Co-authorship network of co-authors of Madhan Subramanian
This figure shows the co-authorship network connecting the top 25 collaborators of Madhan Subramanian. A scholar is included among the top collaborators of Madhan Subramanian 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 Madhan Subramanian. Madhan Subramanian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 15 | |
| 7 | 9 | |
| 8 | 16 | |
| 9 | 25 | |
| 10 | 19 | |
| 11 | 15 | |
| 12 | 28 | |
| 13 | 11 | |
| 14 | 10 | |
| 15 | 9 | |
| 16 | 10 | |
| 17 | 9 | |
| 18 | 7 | |
| 19 | 10 | |
| 20 | 1 |
About Madhan Subramanian
Madhan Subramanian is a scholar working on Behavioral Neuroscience, Endocrine and Autonomic Systems and Reproductive Medicine, having authored 80 papers that have together received 1.4k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (8 papers), Adipose Tissue and Metabolism (8 papers) and Molecular Biology Techniques and Applications (7 papers). The work is most often cited by research in Reproductive Medicine (347 citations), Endocrine and Autonomic Systems (143 citations) and Behavioral Neuroscience (59 citations). Madhan Subramanian has collaborated with scholars based in United States, India and Australia. Frequent co-authors include A. G. Sacco, Edward C. Yurewicz, Priya Balasubramanian, Francesco J. DeMayo, Ernest L. Abel, P.S. MohanKumar, Sheba M.J. MohanKumar, Richard R. Gala, Dianne E. Godar and Stephen J. Merrill. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Neurology.
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.