Kedar Narayan
- Structural Biology top 0.5%
- Advanced Electron Microscopy Techniques and Applications 12
- Virology top 5%
- Biophysics top 2%
- Cell Image Analysis Techniques 6
- Advanced Fluorescence Microscopy Techniques 5
- Surfaces, Coatings and Films top 5%
- Electron and X-Ray Spectroscopy Techniques 6
- Immunology top 10%
- Immunotherapy and Immune Responses 8
- T-cell and B-cell Immunology 8
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- Microtubule and mitosis dynamics 7
- Cellular transport and secretion 5
- Co-authors
- Sriram SubramaniamBradley LowekampLisa M. HartnellJing FuScheherazade Sadegh‐NasseriRyan ConradChih-Ling ChouAdam Harned
- Cited by
- Structural BiologyVirologyBiophysics
- Journals
- Nature Communications (6 papers)Microscopy and Microanalysis (4 papers)The Journal of Cell Biology (3 papers)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Kedar Narayan
48 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 126
- Structural Biology 298
- Virology 218
- Biophysics 183
- Surfaces, Coatings and Films 124
- Immunology 331
Countries citing papers authored by Kedar Narayan
This map shows the geographic impact of Kedar Narayan'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 Kedar Narayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kedar Narayan more than expected).
Fields of papers citing papers by Kedar Narayan
This network shows the impact of papers produced by Kedar Narayan. 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 Kedar Narayan. The network helps show where Kedar Narayan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kedar Narayan, 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 | 2025 | 1 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 44 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 97 | |
| 8 | 2022 | 15 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 9 | |
| 11 | 2021 | 26 | |
| 12 | 2021 | 22 | |
| 13 | 2021 | 2 | |
| 14 | 2019 | 17 | |
| 15 | 2019 | 44 | |
| 16 | 2018 | 56 | |
| 17 | 2018 | 35 | |
| 18 | 2015 | 40 | |
| 19 | 2013 | 73 | |
| 20 | 2012 | 35 |
About Kedar Narayan
Kedar Narayan is a scholar working on Structural Biology, Aging, Biophysics, Surfaces, Coatings and Films and Virology, having authored 51 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Electron Microscopy Techniques and Applications (12 papers), Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (8 papers), Microtubule and mitosis dynamics (7 papers), Cell Image Analysis Techniques (6 papers), Electron and X-Ray Spectroscopy Techniques (6 papers), Advanced Fluorescence Microscopy Techniques (5 papers) and Cellular transport and secretion (5 papers). The work is most often cited by research in Structural Biology (298 citations), Virology (218 citations), Biophysics (183 citations), Surfaces, Coatings and Films (124 citations) and Immunology (331 citations). Kedar Narayan has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Sriram Subramaniam, Bradley Lowekamp, Lisa M. Hartnell, Jing Fu, Scheherazade Sadegh‐Nasseri, Ryan Conrad, Chih-Ling Chou, Adam Harned, Dan Shi and Donald Bliss. Their work appears in journals such as Nature Communications, Microscopy and Microanalysis, The Journal of Cell Biology, Journal of Structural Biology and Nature Methods.
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.