Rishikesh U. Kulkarni
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Nerve injury and regeneration
- Developmental Neuroscience top 10%
Papers in
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- Neuroscience and Neural Engineering 7
- Photoreceptor and optogenetics research 5
- Nerve injury and regeneration 2
- Neuroscience and Neuropharmacology Research 2
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- Pluripotent Stem Cells Research 4
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Evan W. Miller (12 shared papers)Maroof M. Adil (6 shared papers)David V. Schaffer (6 shared papers)Antara Rao (5 shared papers)Parker E. Deal (2 shared papers)Gonçalo Rodrigues (3 shared papers)Badriprasad Ananthanarayanan (1 shared paper)Tandis Vazin (1 shared paper)
- Journals
- Journal of the American Chemical Society (2 papers)ACS Central Science (2 papers)Stem Cell Reports (2 papers)Biochemistry (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesPortugalNorway
In The Last Decade
Rishikesh U. Kulkarni
15 papers receiving 647 citations
Peers
Comparison fields: 5 of 72
- Cellular and Molecular Neuroscience 292
- Developmental Neuroscience 48
- Biophysics 41
- Molecular Medicine 22
- Spectroscopy 72
Countries citing papers authored by Rishikesh U. Kulkarni
This map shows the geographic impact of Rishikesh U. Kulkarni'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 Rishikesh U. Kulkarni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rishikesh U. Kulkarni more than expected).
Fields of papers citing papers by Rishikesh U. Kulkarni
This network shows the impact of papers produced by Rishikesh U. Kulkarni. 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 Rishikesh U. Kulkarni. The network helps show where Rishikesh U. Kulkarni may publish in the future.
Co-authors
The 25 scholars most cited alongside Rishikesh U. Kulkarni, 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 | 2017 | 99 | |
| 2 | 2019 | 87 | |
| 3 | 2017 | 71 | |
| 4 | 2017 | 55 | |
| 5 | 2016 | 53 | |
| 6 | 2017 | 49 | |
| 7 | 2018 | 45 | |
| 8 | 2017 | 42 | |
| 9 | 2016 | 42 | |
| 10 | 2018 | 40 | |
| 11 | 2018 | 23 | |
| 12 | 2017 | 21 | |
| 13 | 2023 | 14 | |
| 14 | 2022 | 6 | |
| 15 | 2024 | 2 |
About Rishikesh U. Kulkarni
Rishikesh U. Kulkarni is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Spectroscopy and Neurology, having authored 15 papers that have together received 649 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (7 papers), Photoreceptor and optogenetics research (5 papers), Pluripotent Stem Cells Research (4 papers), Molecular Sensors and Ion Detection (2 papers), Nerve injury and regeneration (2 papers), Neural dynamics and brain function (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (292 citations), Developmental Neuroscience (48 citations), Biophysics (41 citations), Molecular Medicine (22 citations) and Spectroscopy (72 citations). Rishikesh U. Kulkarni has collaborated with scholars based in United States, Portugal and Norway. Frequent co-authors include Evan W. Miller, Maroof M. Adil, David V. Schaffer, Antara Rao, Parker E. Deal, Gonçalo Rodrigues, Badriprasad Ananthanarayanan, Tandis Vazin, Steven Boggess and Patrick Zhang. Their work appears in journals such as Journal of the American Chemical Society, ACS Central Science, Stem Cell Reports, Biochemistry and Scientific Reports.
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.