N. Krishnan
Impact in
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- Neurobiology and Insect Physiology Research
- Photoreceptor and optogenetics research
- Neuroscience and Neuropharmacology Research
- Nerve injury and regeneration
- Structural Biology top 10%
Papers in
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- Retinal Development and Disorders 2
- Biochemical and Molecular Research 2
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- Nerve injury and regeneration 3
- Neurobiology and Insect Physiology Research 2
- Co-authors
- M. Locke (4 shared papers)Marcus Singer (4 shared papers)Raymond J. Lasek (2 shared papers)Ita R. Kaiserman‐Abramof (2 shared papers)G. Krishna (3 shared papers)James T. McMahon (1 shared paper)R. Theodore Fletcher (2 shared papers)Gerald J. Chader (2 shared papers)
- Journals
- The Journal of Cell Biology (4 papers)Tissue and Cell (2 papers)Experimental Neurology (1 paper)Analytical Biochemistry (1 paper)Journal of Neurochemistry (1 paper)
- Partner nations
- United StatesIndiaNetherlands
In The Last Decade
N. Krishnan
15 papers receiving 722 citations
Peers
Comparison fields: 5 of 99
- Cellular and Molecular Neuroscience 313
- Structural Biology 19
- Cell Biology 170
- Developmental Neuroscience 31
- Insect Science 91
Countries citing papers authored by N. Krishnan
This map shows the geographic impact of N. 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 N. Krishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Krishnan more than expected).
Fields of papers citing papers by N. Krishnan
This network shows the impact of papers produced by N. 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 N. Krishnan. The network helps show where N. Krishnan may publish in the future.
Co-authors
The 12 scholars most cited alongside N. 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
| # | Work | ||
|---|---|---|---|
| 1 | 1971 | 124 | |
| 2 | 1971 | 104 | |
| 3 | 1971 | 103 | |
| 4 | 1979 | 74 | |
| 5 | 1973 | 74 | |
| 6 | 1976 | 65 | |
| 7 | 1978 | 63 | |
| 8 | 1972 | 53 | |
| 9 | 1979 | 52 | |
| 10 | 1973 | 50 | |
| 11 | 1976 | 32 | |
| 12 | 1972 | 18 | |
| 13 | A rapid method for the assay of guanylate cyclase. | 1975 | 16 |
| 14 | 1974 | 7 | |
| 15 | 1977 | 3 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About N. Krishnan
N. Krishnan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Neurology and Ophthalmology, having authored 17 papers that have together received 838 indexed citations. Recurring topics across this work include Barrier Structure and Function Studies (3 papers), Cellular Mechanics and Interactions (3 papers), Skin and Cellular Biology Research (3 papers), Nerve injury and regeneration (3 papers), Retinal Diseases and Treatments (2 papers), Retinal Development and Disorders (2 papers), Neurobiology and Insect Physiology Research (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (313 citations), Structural Biology (19 citations), Cell Biology (170 citations), Developmental Neuroscience (31 citations) and Insect Science (91 citations). N. Krishnan has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include M. Locke, Marcus Singer, Raymond J. Lasek, Ita R. Kaiserman‐Abramof, G. Krishna, James T. McMahon, R. Theodore Fletcher, Gerald J. Chader, N. Appaji Rao and Arunkumar Chandrasekhar. Their work appears in journals such as The Journal of Cell Biology, Tissue and Cell, Experimental Neurology, Analytical Biochemistry and Journal of Neurochemistry.
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.