Sanjeev Vaishnavi
- Cognitive Neuroscience top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Experimental and Cognitive Psychology top 2%
- Physiology top 5%
- Psychiatry and Mental health top 2%
- Co-authors
- Marcus E. RaichleAbraham Z. SnyderMark A. MintunMelissa M. RundleAndrei G. VlassenkoDeanna M. BarchJoseph L. PriceYvette I. Sheline
- Topics
- Functional Brain Connectivity Studies (9 papers)Alzheimer's disease research and treatments (8 papers)Dementia and Cognitive Impairment Research (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of NeuroscienceAmerican Journal of Psychiatry
- Partner nations
- United StatesItalyIndia
In The Last Decade
Sanjeev Vaishnavi
22 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Cognitive Neuroscience 1.7k
- Radiology, Nuclear Medicine and Imaging 725
- Experimental and Cognitive Psychology 573
- Physiology 514
- Psychiatry and Mental health 466
Countries citing papers authored by Sanjeev Vaishnavi
This map shows the geographic impact of Sanjeev Vaishnavi'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 Sanjeev Vaishnavi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjeev Vaishnavi more than expected).
Fields of papers citing papers by Sanjeev Vaishnavi
This network shows the impact of papers produced by Sanjeev Vaishnavi. 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 Sanjeev Vaishnavi. The network helps show where Sanjeev Vaishnavi may publish in the future.
Co-authorship network of co-authors of Sanjeev Vaishnavi
This figure shows the co-authorship network connecting the top 25 collaborators of Sanjeev Vaishnavi. A scholar is included among the top collaborators of Sanjeev Vaishnavi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sanjeev Vaishnavi. Sanjeev Vaishnavi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 7 | |
| 5 | 28 | |
| 6 | 1 | |
| 7 | 20 | |
| 8 | 23 | |
| 9 | 33 | |
| 10 | 2 | |
| 11 | 52 | |
| 12 | 57 | |
| 13 | 56 | |
| 14 | 44 | |
| 15 | The default mode network and self-referential processes in depressionbreakdown → | 1119 |
| 16 | 40 | |
| 17 | 241 | |
| 18 | 156 | |
| 19 | 94 | |
| 20 | 82 |
About Sanjeev Vaishnavi
Sanjeev Vaishnavi is a scholar working on Neurology, Cognitive Neuroscience and Psychiatry and Mental health, having authored 23 papers that have together received 3.0k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (9 papers), Alzheimer's disease research and treatments (8 papers) and Dementia and Cognitive Impairment Research (6 papers). The work is most often cited by research in Cognitive Neuroscience (1.7k citations), Biological Psychiatry (125 citations) and Experimental and Cognitive Psychology (573 citations). Sanjeev Vaishnavi has collaborated with scholars based in United States, Italy and India. Frequent co-authors include Marcus E. Raichle, Abraham Z. Snyder, Mark A. Mintun, Melissa M. Rundle, Andrei G. Vlassenko, Deanna M. Barch, Joseph L. Price, Yvette I. Sheline, Rebecca S. Coalson and Lars E. Couture. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience 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.