Maithreyan Srinivasan

15.4k citations
13 papers · 4.4k indexed · 1 hit paper · h-index 11
Topics
Mitochondrial Function and Pathology (6 papers)Single-cell and spatial transcriptomics (3 papers)Metabolism and Genetic Disorders (3 papers)

In The Last Decade

Maithreyan Srinivasan

13 papers receiving 4.2k citations

Hit Papers

A comprehensive analysis of protein–protein interactions ...2000202620082017200010002.0k3.0k

Peers

Maithreyan Srinivasan
Comparison fields: 5 of 118
  • Molecular Biology 4.0k
  • Cell Biology 565
  • Computational Theory and Mathematics 403
  • Spectroscopy 285
  • Genetics 205
Replace Meijia Yang with:
Meijia Yang United States
Daniel Lockshon United States
Ronald Jansen United States
Sean R. Collins United States
Pedro Beltrão United Kingdom
Michael Costanzo Canada
Manuela Helmer‐Citterich Italy
Sourav Bandyopadhyay United States
Rune Linding Denmark
Chris Stark Canada
Maithreyan Srinivasan relative to Meijia Yang United States Meijia Yang's profile →
Citations per field
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Meijia Yang · 1×
Citations per year

Countries citing papers authored by Maithreyan Srinivasan

Since Specialization
Citations

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

Fields of papers citing papers by Maithreyan Srinivasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maithreyan Srinivasan

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 1
2 1
3 36
4 57
5 84
6 123
7 15
8 174
9
A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiaebreakdown →
3577
10 170
11 12
12 28
13 82

About Maithreyan Srinivasan

Maithreyan Srinivasan is a scholar working on Clinical Biochemistry, Biochemistry and Biophysics, having authored 13 papers that have together received 4.4k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (6 papers), Single-cell and spatial transcriptomics (3 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Molecular Biology (4.0k citations), Cell Biology (565 citations) and Computational Theory and Mathematics (403 citations). Maithreyan Srinivasan has collaborated with scholars based in United States, Sweden and Switzerland. Frequent co-authors include Vaibhav A. Narayan, Meijia Yang, Ying Li, Peter Uetz, Gerard Cagney, Daniel Lockshon, Stanley Fields, Pascale Pochart, Bailey Godwin and Loïc Giot. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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