N. Krishnan
Impact in
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- Neurobiology and Insect Physiology Research
- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Nerve injury and regeneration
- Structural Biology top 10%
Papers in
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- Biochemical and Molecular Research 2
- Retinal Development and Disorders 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)G. Krishna (3 shared papers)Ita R. Kaiserman‐Abramof (2 shared papers)Raymond J. Lasek (2 shared papers)James T. McMahon (1 shared paper)Gerald J. Chader (2 shared papers)R. Theodore Fletcher (2 shared papers)
- Journals
- The Journal of Cell Biology (4 papers)Tissue and Cell (2 papers)Cornea (1 paper)The Anatomical Record (1 paper)Experimental Neurology (1 paper)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
N. Krishnan
16 papers receiving 648 citations
Peers
Comparison fields: 5 of 98
- Cellular and Molecular Neuroscience 268
- Structural Biology 17
- Cell Biology 146
- Developmental Neuroscience 28
- Insect Science 80
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 | 102 | |
| 2 | 1971 | 98 | |
| 3 | 1971 | 98 | |
| 4 | 1973 | 66 | |
| 5 | 1979 | 64 | |
| 6 | 1976 | 58 | |
| 7 | 1978 | 53 | |
| 8 | 1972 | 47 | |
| 9 | 1979 | 41 | |
| 10 | 1973 | 41 | |
| 11 | 1976 | 31 | |
| 12 | A rapid method for the assay of guanylate cyclase. | 1975 | 16 |
| 13 | 1972 | 15 | |
| 14 | 1983 | 8 | |
| 15 | 1974 | 6 | |
| 16 | 1977 | 3 | |
| 17 | 2025 | 0 |
About N. Krishnan
N. Krishnan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Ophthalmology and Neurology, having authored 17 papers that have together received 747 indexed citations. Recurring topics across this work include Nerve injury and regeneration (3 papers), Skin and Cellular Biology Research (3 papers), Cellular Mechanics and Interactions (3 papers), Barrier Structure and Function Studies (3 papers), Neurobiology and Insect Physiology Research (2 papers), Biochemical and Molecular Research (2 papers), Retinal Diseases and Treatments (2 papers) and Retinal Development and Disorders (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (268 citations), Structural Biology (17 citations), Cell Biology (146 citations), Developmental Neuroscience (28 citations) and Insect Science (80 citations). N. Krishnan has collaborated with scholars based in United States, India and Canada. Frequent co-authors include M. Locke, Marcus Singer, G. Krishna, Ita R. Kaiserman‐Abramof, Raymond J. Lasek, James T. McMahon, Gerald J. Chader, R. Theodore Fletcher, N. Appaji Rao and Manuel E. Velasco. Their work appears in journals such as The Journal of Cell Biology, Tissue and Cell, Cornea, The Anatomical Record and Experimental Neurology.
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.