Veeranna
- Developmental Neuroscience top 1%
- Cell Biology top 1%
- Skin and Cellular Biology Research 14
- Cellular transport and secretion 5
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- Nerve injury and regeneration 5
- Neuropeptides and Animal Physiology 5
- Neuroscience and Neuropharmacology Research 4
- Neurology top 2%
- Parkinson's Disease Mechanisms and Treatments 4
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments 4
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- Receptor Mechanisms and Signaling 4
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- Cancer-related Molecular Pathways 4
- Co-authors
- Ralph A. NixonMala V. RaoAidong YuanHarish C. PantAshok B. KulkarniToshio OhshimaRoscoe O. BradyGlenn Longenecker
- Journals
- Brain Research (3 papers)Neurobiology of Aging (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Veeranna
36 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Developmental Neuroscience 470
- Cell Biology 1.1k
- Cellular and Molecular Neuroscience 1.0k
- Neurology 540
- Neurology 266
Countries citing papers authored by Veeranna
This map shows the geographic impact of Veeranna'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 Veeranna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veeranna more than expected).
Fields of papers citing papers by Veeranna
This network shows the impact of papers produced by Veeranna. 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 Veeranna. The network helps show where Veeranna may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Veeranna, 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 | 0 | |
| 2 | 2018 | 40 | |
| 3 | Neurofilaments and Neurofilament Proteins in Health and Diseasebreakdown → | 2017 | 528 |
| 4 | 2015 | 96 | |
| 5 | 2011 | 12 | |
| 6 | 2011 | 43 | |
| 7 | 2010 | 19 | |
| 8 | 2009 | 40 | |
| 9 | 2006 | 173 | |
| 10 | 2004 | 108 | |
| 11 | 2003 | 405 | |
| 12 | 2003 | 43 | |
| 13 | 2001 | 31 | |
| 14 | 1997 | 54 | |
| 15 | 1995 | 147 | |
| 16 | 1994 | 6 | |
| 17 | 1993 | 21 | |
| 18 | 1993 | 5 | |
| 19 | 1993 | 16 | |
| 20 | 1990 | 23 |
About Veeranna
Veeranna is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Neurology and Biochemistry, having authored 37 papers that have together received 3.4k indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (14 papers), Cellular transport and secretion (5 papers), Nerve injury and regeneration (5 papers), Neuropeptides and Animal Physiology (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Receptor Mechanisms and Signaling (4 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Developmental Neuroscience (470 citations), Cell Biology (1.1k citations), Cellular and Molecular Neuroscience (1.0k citations), Neurology (540 citations) and Neurology (266 citations). Veeranna has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Ralph A. Nixon, Mala V. Rao, Aidong Yuan, Harish C. Pant, Ashok B. Kulkarni, Toshio Ohshima, Roscoe O. Brady, Glenn Longenecker, Jerrold M. Ward and H. C. Pant. Their work appears in journals such as Brain Research, Neurobiology of Aging, Proceedings of the National Academy of Sciences, Journal of Neuroscience and Molecular Psychiatry.
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.