Shankar Sadasivan
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
- Traumatic Brain Injury and Neurovascular Disturbances
Papers in
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- Metabolomics and Mass Spectrometry Studies 4
-
- Neuroscience and Neuropharmacology Research 4
- Co-authors
- Richard J. Smeyne (7 shared papers)Kevin Wang (9 shared papers)Ronald L. Hayes (5 shared papers)Firas Kobeissy (7 shared papers)Stacey Schultz‐Cherry (2 shared papers)Yun Jiao (2 shared papers)Zhiqun Zhang (2 shared papers)Andrew K. Ottens (2 shared papers)
- Journals
- PLoS ONE (4 papers)Biochemical and Biophysical Research Communications (1 paper)PROTEOMICS - CLINICAL APPLICATIONS (1 paper)Journal of Neurotrauma (1 paper)Brain (1 paper)
- Partner nations
- United States
In The Last Decade
Shankar Sadasivan
17 papers receiving 726 citations
Peers
Comparison fields: 5 of 85
- Biological Psychiatry 51
- Neurology 146
- Neurology 239
- Cellular and Molecular Neuroscience 197
- Developmental Neuroscience 35
Countries citing papers authored by Shankar Sadasivan
This map shows the geographic impact of Shankar Sadasivan'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 Shankar Sadasivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shankar Sadasivan more than expected).
Fields of papers citing papers by Shankar Sadasivan
This network shows the impact of papers produced by Shankar Sadasivan. 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 Shankar Sadasivan. The network helps show where Shankar Sadasivan may publish in the future.
Co-authors
The 25 scholars most cited alongside Shankar Sadasivan, 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 | 2007 | 102 | |
| 2 | 2018 | 99 | |
| 3 | 2012 | 90 | |
| 4 | 2015 | 87 | |
| 5 | 2017 | 50 | |
| 6 | 2010 | 49 | |
| 7 | 2008 | 47 | |
| 8 | 2008 | 46 | |
| 9 | 2008 | 36 | |
| 10 | 2006 | 35 | |
| 11 | 2008 | 27 | |
| 12 | 2012 | 18 | |
| 13 | 2014 | 14 | |
| 14 | 2006 | 12 | |
| 15 | 2021 | 9 | |
| 16 | 2009 | 5 | |
| 17 | 2010 | 5 |
About Shankar Sadasivan
Shankar Sadasivan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Epidemiology, Neurology and Neurology, having authored 17 papers that have together received 731 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Autophagy in Disease and Therapy (3 papers), Alzheimer's disease research and treatments (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Calpain Protease Function and Regulation (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Biological Psychiatry (51 citations), Neurology (146 citations), Neurology (239 citations), Cellular and Molecular Neuroscience (197 citations) and Developmental Neuroscience (35 citations). Shankar Sadasivan has collaborated with scholars based in United States. Frequent co-authors include Richard J. Smeyne, Kevin Wang, Ronald L. Hayes, Firas Kobeissy, Stacey Schultz‐Cherry, Yun Jiao, Zhiqun Zhang, Andrew K. Ottens, Stephen F. Larner and Amar K. Pani. Their work appears in journals such as PLoS ONE, Biochemical and Biophysical Research Communications, PROTEOMICS - CLINICAL APPLICATIONS, Journal of Neurotrauma and Brain.
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.