Arunkumar Krishnan
Impact in
- Aging top 10%
-
- Neurobiology and Insect Physiology Research
- Neuropeptides and Animal Physiology
Papers in
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- Receptor Mechanisms and Signaling 7
- Machine Learning in Bioinformatics 3
- CRISPR and Genetic Engineering 3
- Genetics 7
- Co-authors
- Markus Sällman Almén (9 shared papers)Helgi B. Schiöth (8 shared papers)Robert Fredriksson (7 shared papers)L. Aravind (7 shared papers)Helgi B. Schiöth (6 shared papers)Lakshminarayan M. Iyer (4 shared papers)A. Maxwell Burroughs (3 shared papers)Rajat Rohatgi (2 shared papers)
- Journals
- PLoS ONE (3 papers)Molecular Biology and Evolution (2 papers)Developmental Cell (2 papers)BMC Evolutionary Biology (2 papers)BMC Genomics (2 papers)
- Partner nations
- SwedenUnited StatesIndia
In The Last Decade
Arunkumar Krishnan
31 papers receiving 890 citations
Peers
Comparison fields: 5 of 89
- Aging 19
- Cellular and Molecular Neuroscience 194
- Molecular Biology 551
- Endocrine and Autonomic Systems 44
- Reproductive Medicine 47
Countries citing papers authored by Arunkumar Krishnan
This map shows the geographic impact of Arunkumar Krishnan'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 Arunkumar Krishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arunkumar Krishnan more than expected).
Fields of papers citing papers by Arunkumar Krishnan
This network shows the impact of papers produced by Arunkumar Krishnan. 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 Arunkumar Krishnan. The network helps show where Arunkumar Krishnan may publish in the future.
Co-authors
The 25 scholars most cited alongside Arunkumar Krishnan, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 146 | |
| 2 | 2017 | 96 | |
| 3 | 2021 | 67 | |
| 4 | 2015 | 65 | |
| 5 | 2018 | 59 | |
| 6 | 2015 | 54 | |
| 7 | 2020 | 50 | |
| 8 | 1999 | 43 | |
| 9 | 2014 | 37 | |
| 10 | 2015 | 34 | |
| 11 | 2015 | 31 | |
| 12 | 2013 | 31 | |
| 13 | 2016 | 29 | |
| 14 | 2020 | 26 | |
| 15 | 2014 | 23 | |
| 16 | 2012 | 16 | |
| 17 | 2015 | 14 | |
| 18 | 2021 | 13 | |
| 19 | 2013 | 13 | |
| 20 | 2017 | 11 |
About Arunkumar Krishnan
Arunkumar Krishnan is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Ecology and Plant Science, having authored 34 papers that have together received 911 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (7 papers), Neurobiology and Insect Physiology Research (6 papers), Photoreceptor and optogenetics research (3 papers), Machine Learning in Bioinformatics (3 papers), Bacteriophages and microbial interactions (3 papers), CRISPR and Genetic Engineering (3 papers), Sperm and Testicular Function (2 papers) and melanin and skin pigmentation (2 papers). The work is most often cited by research in Aging (19 citations), Cellular and Molecular Neuroscience (194 citations), Molecular Biology (551 citations), Endocrine and Autonomic Systems (44 citations) and Reproductive Medicine (47 citations). Arunkumar Krishnan has collaborated with scholars based in Sweden, United States and India. Frequent co-authors include Markus Sällman Almén, Helgi B. Schiöth, Robert Fredriksson, L. Aravind, Helgi B. Schiöth, Lakshminarayan M. Iyer, A. Maxwell Burroughs, Rajat Rohatgi, Vivek Anantharaman and Jennifer H. Kong. Their work appears in journals such as PLoS ONE, Molecular Biology and Evolution, Developmental Cell, BMC Evolutionary Biology and BMC Genomics.
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.