Madhan Subramanian

1.8k total citations
80 papers, 1.4k citations indexed

About

Madhan Subramanian is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems. According to data from OpenAlex, Madhan Subramanian has authored 80 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 16 papers in Endocrinology, Diabetes and Metabolism and 13 papers in Endocrine and Autonomic Systems. Recurrent topics in Madhan Subramanian's work include Stress Responses and Cortisol (8 papers), Adipose Tissue and Metabolism (8 papers) and Molecular Biology Techniques and Applications (7 papers). Madhan Subramanian is often cited by papers focused on Stress Responses and Cortisol (8 papers), Adipose Tissue and Metabolism (8 papers) and Molecular Biology Techniques and Applications (7 papers). Madhan Subramanian collaborates with scholars based in United States, India and Australia. Madhan Subramanian's 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 and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Neurology.

In The Last Decade

Madhan Subramanian

75 papers receiving 1.4k citations

Peers

Madhan Subramanian
Comparison fields: 5 of 102
  • Reproductive Medicine 347
  • Molecular Biology 320
  • Public Health, Environmental and Occupational Health 240
  • Genetics 175
  • Physiology 166
Replace Cristiano Boiti with:
Cristiano Boiti Italy
Nahid Parvizi Germany
F. Sánchez Spain
Marek Koziorowski Poland
Omar P. Pignataro Argentina
Marappa G. Subramanian United States
Nikos C. Vamvakopoulos Greece
Ganapathy K. Bhat United States
A. López Bernal United Kingdom
Huatao Chen China
Cristiano Boiti Italy View profile →
Citations per field, relative to Madhan Subramanian
Madhan Subramanian · 1×
Citations per year, relative to Madhan Subramanian
Madhan Subramanian · 1×

Countries citing papers authored by Madhan Subramanian

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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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