Sumudra Periyasamy

1.9k citations
27 papers · 1.6k indexed · 1 hit paper · h-index 18
Topics
Receptor Mechanisms and Signaling (9 papers)Neuroscience and Neuropharmacology Research (7 papers)Estrogen and related hormone effects (7 papers)

In The Last Decade

Sumudra Periyasamy

27 papers receiving 1.5k citations

Hit Papers

Biallelic inactivation of hMLH 1 by epigenetic gene silen...19982026200720161998100200300400500

Peers

Sumudra Periyasamy
Comparison fields: 5 of 95
  • Molecular Biology 850
  • Pathology and Forensic Medicine 381
  • Oncology 293
  • Cancer Research 238
  • Immunology 226
Replace Johanna M. Beekman with:
Johanna M. Beekman United States
Bert W. O’Malley United States
B. K. Lucas France
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Ray‐Chang Wu United States
Ningping Feng United States
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Sumudra Periyasamy relative to Johanna M. Beekman United States Johanna M. Beekman's profile →
Citations per field
00.5×4.4×
Johanna M. Beekman · 1×
Citations per year

Countries citing papers authored by Sumudra Periyasamy

Since Specialization
Citations

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

Fields of papers citing papers by Sumudra Periyasamy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumudra Periyasamy

This figure shows the co-authorship network connecting the top 25 collaborators of Sumudra Periyasamy. A scholar is included among the top collaborators of Sumudra Periyasamy 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 Sumudra Periyasamy. Sumudra Periyasamy 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
#WorkIndexed citations
1 30
2 128
3 22
4 2
5 18
6 9
7 32
8 25
9 29
10 21
11 7
12 10
13 40
14 6
15 12
16 38
17 23
18 8
19 74
20 218

About Sumudra Periyasamy

Sumudra Periyasamy is a scholar working on Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 27 papers that have together received 1.6k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (9 papers), Neuroscience and Neuropharmacology Research (7 papers) and Estrogen and related hormone effects (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (381 citations), Behavioral Neuroscience (69 citations) and Cancer Research (238 citations). Sumudra Periyasamy has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Melvyn S. Soloff, M Alexandrová, Anna‐Riitta Fuchs, Edwin R. Sánchez, Weinian Shou, Guo‐Min Li, Paul Modrich, Sanford D. Markowitz, James T. Drummond and Lakshmi Kasturi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.

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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