K. Sriram

23 papers receiving 395 citations

Peers

K. Sriram
Comparison fields: 5 of 98
  • Behavioral Neuroscience 52
  • Endocrine and Autonomic Systems 55
  • Biological Psychiatry 16
  • Astronomy and Astrophysics 73
  • Molecular Biology 199
Replace Namshik Kim with:
Namshik Kim South Korea
Christopher Cain United States
Lei Niu China
Karina Chaudhari India
David Levitan United States
Vinayakumar Prabhu United States
Marios Kyriazis United Kingdom
Javier Rasero United States
Koji Teshima Japan
Kayoko Esaki Japan
K. Sriram relative to Namshik Kim South Korea Namshik Kim's profile →
Citations per field
00.5×10×13.8×
Namshik Kim · 1×
Citations per year

Countries citing papers authored by K. Sriram

Since Specialization
Citations

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

Fields of papers citing papers by K. Sriram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside K. Sriram, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with K. Sriram Line = papers co-authored together K. Sriram links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201292
2 200682
3 200452
4 202025
5 200924
6 201219
7 200716
8 201016
9 200811
10 200610
11 20159
12 20197
13 20177
14 20057
15 20216
16 20156
17 20195
18 20225
19 20075
20 20221

About K. Sriram

K. Sriram is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Computer Networks and Communications, Genetics and Cognitive Neuroscience, having authored 24 papers that have together received 408 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (5 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Gene Regulatory Network Analysis (4 papers), Light effects on plants (3 papers), Fungal and yeast genetics research (2 papers), Neuroendocrine regulation and behavior (2 papers), Evolution and Genetic Dynamics (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Behavioral Neuroscience (52 citations), Endocrine and Autonomic Systems (55 citations), Biological Psychiatry (16 citations), Astronomy and Astrophysics (73 citations) and Molecular Biology (199 citations). K. Sriram has collaborated with scholars based in India, France and United States. Frequent co-authors include Francis J. Doyle, María Rodriguez-Fernández, M. S. Gopinathan, François Képès, Axel Hunding, Victor Norris, Abraham Minsky, Derek Raine, Robert Root‐Bernstein and Doron Lancet. Their work appears in journals such as PLoS ONE, Journal of Theoretical Biology, IET Systems Biology, Blood Cancer Journal and Chaos An Interdisciplinary Journal of Nonlinear Science.

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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