Subha Subramanian

748 total citations
21 papers, 511 citations indexed

About

Subha Subramanian is a scholar working on Molecular Biology, Pharmacology and Neurology. According to data from OpenAlex, Subha Subramanian has authored 21 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Pharmacology and 6 papers in Neurology. Recurrent topics in Subha Subramanian's work include Transcranial Magnetic Stimulation Studies (6 papers), Treatment of Major Depression (6 papers) and Electroconvulsive Therapy Studies (5 papers). Subha Subramanian is often cited by papers focused on Transcranial Magnetic Stimulation Studies (6 papers), Treatment of Major Depression (6 papers) and Electroconvulsive Therapy Studies (5 papers). Subha Subramanian collaborates with scholars based in United States, Singapore and Canada. Subha Subramanian's co-authors include Sandhya Sriram, Craig McFarlane, Ravi Kambadur, Mridula Sharma, Mônica Senna Salerno, Martin G. Larson, Paul Courchesne, Pieter Muntendam, Eric J. Lenze and Daniel Levy and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Biological Psychiatry and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Subha Subramanian

19 papers receiving 508 citations

Peers

Subha Subramanian
Comparison fields: 5 of 89
  • Molecular Biology 204
  • Physiology 149
  • Cardiology and Cardiovascular Medicine 66
  • Rehabilitation 59
  • Pharmacology 55
Replace Martina Svensson with:
Martina Svensson Sweden
Alana Horowitz United States
Jacopo Maria Fontana Italy
Samantha Gillard United Kingdom
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Maike A. D. Brans Netherlands
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Yoshihiro Masaki Japan
James E. Hilbert United States
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Martina Svensson Sweden View profile →
Citations per field, relative to Subha Subramanian
Subha Subramanian · 1×
Citations per year, relative to Subha Subramanian
Subha Subramanian · 1×

Countries citing papers authored by Subha Subramanian

Since Specialization
Citations

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

Fields of papers citing papers by Subha Subramanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subha Subramanian

This figure shows the co-authorship network connecting the top 25 collaborators of Subha Subramanian. A scholar is included among the top collaborators of Subha 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 Subha Subramanian. Subha 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 0
2 1
3 11
4 3
5 4
6 34
7 0
8 24
9 4
10 37
11 1
12 1
13 16
14 10
15 6
16 16
17 40
18 59
19 154
20 13

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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