Jyothi Subramanian

905 citations
9 papers · 602 indexed · h-index 9
Topics
Gene expression and cancer classification (4 papers)Protein Structure and Dynamics (3 papers)Genetic Associations and Epidemiology (2 papers)

In The Last Decade

Jyothi Subramanian

9 papers receiving 583 citations

Peers

Jyothi Subramanian
Comparison fields: 5 of 130
  • Molecular Biology 299
  • Computational Theory and Mathematics 168
  • Cancer Research 93
  • Statistics and Probability 77
  • Radiology, Nuclear Medicine and Imaging 61
Replace Stuart Bailey with:
Stuart Bailey United States
James Matcham United Kingdom
Mark W. Farmen United States
Liye He Finland
Chanchala Kaddi United States
Nadia Terranova Germany
Nenad Sarapa United States
Chris Harbron United Kingdom
Stanley Chun-Wei Lee United States
Marcus J. Tindall United Kingdom
Jyothi Subramanian relative to Stuart Bailey United States Stuart Bailey's profile →
Citations per field
00.5×3.3×
Stuart Bailey · 1×
Citations per year

Countries citing papers authored by Jyothi Subramanian

Since Specialization
Citations

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

Fields of papers citing papers by Jyothi Subramanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jyothi Subramanian

This figure shows the co-authorship network connecting the top 25 collaborators of Jyothi Subramanian. A scholar is included among the top collaborators of Jyothi 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 Jyothi Subramanian. Jyothi Subramanian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 8
2 70
3 53
4 148
5 70
6 33
7 180
8 17
9 23

About Jyothi Subramanian

Jyothi Subramanian is a scholar working on Cancer Research, Computational Theory and Mathematics and Statistics and Probability, having authored 9 papers that have together received 602 indexed citations. Recurring topics across this work include Gene expression and cancer classification (4 papers), Protein Structure and Dynamics (3 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Computational Theory and Mathematics (168 citations), Statistics and Probability (77 citations) and Cancer Research (93 citations). Jyothi Subramanian has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Richard Simon, Somesh Sharma, Chandrika B‐Rao, Susan Geyer, Sameek Roychowdhury, Geetanjali Chimote, H. Sivaramakrishnan, Sayan Sen, Pushpendra Singh and Anurag Agrawal. Their work appears in journals such as PLoS ONE, Journal of Medicinal Chemistry and Statistics in Medicine.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026