Vishnu P. Murty
- Cognitive Neuroscience top 2%
- Memory and Neural Mechanisms 15
- Functional Brain Connectivity Studies 11
- Memory Processes and Influences 8
- Neural and Behavioral Psychology Studies 8
- Neural dynamics and brain function 3
- Behavioral Neuroscience top 5%
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- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes 4
- Psychiatry and Mental health top 10%
- Schizophrenia research and treatment 4
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- Neuroscience and Neuropharmacology Research 6
- Co-authors
- Daniel R. WeinbergerFabio SambataroVenkata S. MattaySaumitra DasHao Yang TanJoseph H. CallicottKevin S. LaBarJoseph E. Dunsmoor
- Journals
- Proceedings of the National Academy of Sciences (1 paper)NeuroImage (3 papers)American Journal of Psychiatry (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Vishnu P. Murty
30 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 95
- Cognitive Neuroscience 950
- Behavioral Neuroscience 91
- Experimental and Cognitive Psychology 253
- Psychiatry and Mental health 174
- Biological Psychiatry 19
Countries citing papers authored by Vishnu P. Murty
This map shows the geographic impact of Vishnu P. Murty'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 Vishnu P. Murty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vishnu P. Murty more than expected).
Fields of papers citing papers by Vishnu P. Murty
This network shows the impact of papers produced by Vishnu P. Murty. 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 Vishnu P. Murty. The network helps show where Vishnu P. Murty may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vishnu P. Murty, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 39 | |
| 10 | 2022 | 9 | |
| 11 | 2022 | 2 | |
| 12 | 2022 | 13 | |
| 13 | 2021 | 10 | |
| 14 | 2019 | 11 | |
| 15 | 2016 | 35 | |
| 16 | 2011 | 56 | |
| 17 | 2011 | 149 | |
| 18 | 2011 | 91 | |
| 19 | 2009 | 44 | |
| 20 | 2008 | 414 |
About Vishnu P. Murty
Vishnu P. Murty is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Behavioral Neuroscience, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (15 papers), Functional Brain Connectivity Studies (11 papers), Memory Processes and Influences (8 papers), Neural and Behavioral Psychology Studies (8 papers), Neuroscience and Neuropharmacology Research (6 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers), Schizophrenia research and treatment (4 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Cognitive Neuroscience (950 citations), Behavioral Neuroscience (91 citations) and Experimental and Cognitive Psychology (253 citations). Vishnu P. Murty has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Daniel R. Weinberger, Fabio Sambataro, Venkata S. Mattay, Saumitra Das, Hao Yang Tan, Joseph H. Callicott, Kevin S. LaBar, Joseph E. Dunsmoor, R. Alison Adcock and Steven E. Prince. Their work appears in journals such as Proceedings of the National Academy of Sciences, NeuroImage and American Journal of 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.