Shikha Snigdha
- Biological Psychiatry top 1%
- Tryptophan and brain disorders 3
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- Neurotransmitter Receptor Influence on Behavior 9
- Neuroscience and Neuropharmacology Research 7
- Behavioral Neuroscience top 5%
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 4
- Developmental Neuroscience top 5%
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- Receptor Mechanisms and Signaling 5
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- Memory and Neural Mechanisms 4
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- Neuroendocrine regulation and behavior 4
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- Human-Animal Interaction Studies 3
- Co-authors
- Joanna C. NeillCarl W. CotmanG. Aleph PrietoSamantha L. McLeanErica D. SmithNagi IdrisBen GraysonMichael Harte
- Journals
- Behavioural Brain Research (2 papers)Neurobiology of Aging (2 papers)Pharmacology & Therapeutics (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Shikha Snigdha
25 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 102
- Biological Psychiatry 293
- Cellular and Molecular Neuroscience 706
- Behavioral Neuroscience 120
- Neurology 204
- Developmental Neuroscience 87
Countries citing papers authored by Shikha Snigdha
This map shows the geographic impact of Shikha Snigdha'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 Shikha Snigdha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shikha Snigdha more than expected).
Fields of papers citing papers by Shikha Snigdha
This network shows the impact of papers produced by Shikha Snigdha. 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 Shikha Snigdha. The network helps show where Shikha Snigdha may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shikha Snigdha, 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 | 2024 | 3 | |
| 2 | 2021 | 111 | |
| 3 | 2017 | 5 | |
| 4 | 2016 | 98 | |
| 5 | 2015 | 15 | |
| 6 | 2015 | 96 | |
| 7 | 2014 | 53 | |
| 8 | 2013 | 92 | |
| 9 | 2013 | 14 | |
| 10 | 2012 | 188 | |
| 11 | 2011 | 11 | |
| 12 | 2011 | 18 | |
| 13 | 2011 | 26 | |
| 14 | 2010 | 34 | |
| 15 | 2010 | 433 | |
| 16 | 2009 | 80 | |
| 17 | 2009 | 31 | |
| 18 | 2008 | 70 | |
| 19 | 2008 | 18 | |
| 20 | 2007 | 60 |
About Shikha Snigdha
Shikha Snigdha is a scholar working on Biological Psychiatry, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (9 papers), Neuroscience and Neuropharmacology Research (7 papers), Receptor Mechanisms and Signaling (5 papers), Memory and Neural Mechanisms (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neuroendocrine regulation and behavior (4 papers), Human-Animal Interaction Studies (3 papers) and Tryptophan and brain disorders (3 papers). The work is most often cited by research in Biological Psychiatry (293 citations), Cellular and Molecular Neuroscience (706 citations) and Behavioral Neuroscience (120 citations). Shikha Snigdha has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Joanna C. Neill, Carl W. Cotman, G. Aleph Prieto, Samantha L. McLean, Erica D. Smith, Nagi Idris, Ben Grayson, Michael Harte, Samantha R. Cook and Lakshmi Rajagopal. Their work appears in journals such as Behavioural Brain Research, Neurobiology of Aging, Pharmacology & Therapeutics, Journal of Molecular Neuroscience and Journal of Pharmacology and Experimental Therapeutics.
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.