Arunkumar Krishnan
Impact in
-
- Neurobiology and Insect Physiology Research
- Neuropeptides and Animal Physiology
Papers in
-
- Receptor Mechanisms and Signaling 8
- CRISPR and Genetic Engineering 3
- Machine Learning in Bioinformatics 3
- RNA and protein synthesis mechanisms 3
-
- Neurobiology and Insect Physiology Research 7
- Photoreceptor and optogenetics research 3
- 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)Vivek Anantharaman (1 shared paper)
- Journals
- PLoS ONE (3 papers)BMC Genomics (2 papers)Molecular Biology and Evolution (2 papers)Developmental Cell (2 papers)Molecular Phylogenetics and Evolution (2 papers)
- Partner nations
- SwedenUnited StatesIndia
In The Last Decade
Arunkumar Krishnan
30 papers receiving 837 citations
Peers
Comparison fields: 5 of 91
- Cellular and Molecular Neuroscience 194
- Aging 18
- Molecular Biology 542
- Endocrine and Autonomic Systems 43
- Genetics 155
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 131 | |
| 2 | 2017 | 95 | |
| 3 | 2021 | 65 | |
| 4 | 2015 | 59 | |
| 5 | 2018 | 57 | |
| 6 | 2015 | 49 | |
| 7 | 2020 | 45 | |
| 8 | 1999 | 41 | |
| 9 | 2014 | 36 | |
| 10 | 2015 | 32 | |
| 11 | 2013 | 30 | |
| 12 | 2015 | 28 | |
| 13 | 2016 | 27 | |
| 14 | 2020 | 24 | |
| 15 | 2014 | 21 | |
| 16 | 2012 | 14 | |
| 17 | 2015 | 14 | |
| 18 | 2021 | 13 | |
| 19 | 2013 | 13 | |
| 20 | 2017 | 11 |
About Arunkumar Krishnan
Arunkumar Krishnan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Plant Science and Ecology, having authored 33 papers that have together received 852 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), Neurobiology and Insect Physiology Research (7 papers), CRISPR and Genetic Engineering (3 papers), Machine Learning in Bioinformatics (3 papers), Bacteriophages and microbial interactions (3 papers), RNA and protein synthesis mechanisms (3 papers), Photoreceptor and optogenetics research (3 papers) and Biochemical Analysis and Sensing Techniques (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (194 citations), Aging (18 citations), Molecular Biology (542 citations), Endocrine and Autonomic Systems (43 citations) and Genetics (155 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, Vivek Anantharaman, Ganesh V. Pusapati and Jennifer H. Kong. Their work appears in journals such as PLoS ONE, BMC Genomics, Molecular Biology and Evolution, Developmental Cell and Molecular Phylogenetics and Evolution.
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.