K. Sriram
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
-
- Gene Regulatory Network Analysis 4
- Protein Degradation and Inhibitors 2
- Fungal and yeast genetics research 2
-
- Circadian rhythm and melatonin 5
- Co-authors
- María Rodriguez-Fernández (2 shared papers)Francis J. Doyle (3 shared papers)M. S. Gopinathan (2 shared papers)François Képès (4 shared papers)Doron Lancet (2 shared papers)Robert Root‐Bernstein (2 shared papers)Derek Raine (2 shared papers)Axel Hunding (2 shared papers)
- Journals
- PLoS ONE (5 papers)IET Systems Biology (2 papers)Journal of Theoretical Biology (2 papers)RSC Advances (1 paper)Theoretical Chemistry Accounts (1 paper)
- Partner nations
- IndiaFranceUnited States
In The Last Decade
K. Sriram
22 papers receiving 389 citations
Peers
Comparison fields: 5 of 101
- Behavioral Neuroscience 56
- Endocrine and Autonomic Systems 59
- Biological Psychiatry 20
- Astronomy and Astrophysics 69
- Aging 6
Countries citing papers authored by K. Sriram
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
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.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 92 | |
| 2 | 2006 | 79 | |
| 3 | 2004 | 51 | |
| 4 | 2020 | 24 | |
| 5 | 2009 | 24 | |
| 6 | 2012 | 19 | |
| 7 | 2010 | 16 | |
| 8 | 2007 | 16 | |
| 9 | 2008 | 11 | |
| 10 | 2006 | 10 | |
| 11 | 2015 | 9 | |
| 12 | 2017 | 7 | |
| 13 | 2019 | 7 | |
| 14 | 2005 | 7 | |
| 15 | 2021 | 6 | |
| 16 | 2015 | 6 | |
| 17 | 2019 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2007 | 5 | |
| 20 | 2022 | 1 |
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 23 papers that have together received 402 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), MicroRNA in disease regulation (2 papers), Protein Degradation and Inhibitors (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Fungal and yeast genetics research (2 papers). The work is most often cited by research in Behavioral Neuroscience (56 citations), Endocrine and Autonomic Systems (59 citations), Biological Psychiatry (20 citations), Astronomy and Astrophysics (69 citations) and Aging (6 citations). K. Sriram has collaborated with scholars based in India, France and United States. Frequent co-authors include María Rodriguez-Fernández, Francis J. Doyle, M. S. Gopinathan, François Képès, Doron Lancet, Robert Root‐Bernstein, Derek Raine, Axel Hunding, Abraham Minsky and Victor Norris. Their work appears in journals such as PLoS ONE, IET Systems Biology, Journal of Theoretical Biology, RSC Advances and Theoretical Chemistry Accounts.
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.