Shankar Sadasivan

943 citations
17 papers · 724 · h-index 13

Impact in

    • 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

Shankar Sadasivan

17 papers receiving 719 citations

Peers

Shankar Sadasivan
Comparison fields: 5 of 88
  • Biological Psychiatry 55
  • Neurology 151
  • Neurology 252
  • Cellular and Molecular Neuroscience 212
  • Developmental Neuroscience 35
Replace Barbara Begni with:
Barbara Begni Italy
Maria Nikolaeva United States
Mirjam I. Lutz Austria
W. Sue T. Griffin United States
Ganggang Peng Taiwan
Milica Cerovic Italy
Chengyu Sheng China
Sanae Hasegawa‐Ishii Japan
Serge Guerreiro France
Simona Dedoni Italy
Shankar Sadasivan relative to Barbara Begni Italy Barbara Begni's profile →
Citations per field
00.5×2.6×
Barbara Begni · 1×
Citations per year

Countries citing papers authored by Shankar Sadasivan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Shankar Sadasivan Line = papers co-authored together Shankar Sadasivan links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2007102
2 201897
3 201290
4 201585
5 201750
6 201049
7 200847
8 200845
9 200836
10 200635
11 200827
12 201217
13 201414
14 200612
15 20218
16 20105
17 20095

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 724 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Autophagy in Disease and Therapy (3 papers), Alzheimer's disease research and treatments (2 papers), Computational Drug Discovery Methods (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Calpain Protease Function and Regulation (2 papers). The work is most often cited by research in Biological Psychiatry (55 citations), Neurology (151 citations), Neurology (252 citations), Cellular and Molecular Neuroscience (212 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, Amar K. Pani and Chunxu Qu. Their work appears in journals such as PLoS ONE, Brain, Journal of Biological Chemistry, Journal of Proteome Research and PROTEOMICS - CLINICAL APPLICATIONS.

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.

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