Vishnu Bashyam

1.8k citations
15 papers · 1.1k · 2 hit papers · h-index 11

Impact in

Papers in

Vishnu Bashyam

14 papers receiving 1.0k citations

Vishnu Bashyam's Hit Papers

MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide 2020 · 253 citations
2530+2+4Years since publication100200300

Peers

Vishnu Bashyam
Comparison fields: 5 of 99
  • Health Informatics 35
  • Cognitive Neuroscience 344
  • Radiology, Nuclear Medicine and Imaging 361
  • Psychiatry and Mental health 150
  • Neurology 82
Replace Raymond Pomponio with:
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Citations per field
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Citations per year

Countries citing papers authored by Vishnu Bashyam

Since Specialization
Citations

This map shows the geographic impact of Vishnu Bashyam'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 Bashyam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vishnu Bashyam more than expected).

Fields of papers citing papers by Vishnu Bashyam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vishnu Bashyam. 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 Bashyam. The network helps show where Vishnu Bashyam may publish in the future.

Co-authors

The 25 scholars most cited alongside Vishnu Bashyam, 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 Vishnu Bashyam Line = papers co-authored together Vishnu Bashyam links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan
Hit paper breakdown →
2019355
2
MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide
Hit paper breakdown →
2020253
3 202394
4 202169
5 202163
6 202361
7 202258
8 202039
9 202328
10 202223
11 202311
12 20234
13 20203
14 20211
15 20250

About Vishnu Bashyam

Vishnu Bashyam is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Psychiatry and Mental health, Health, Toxicology and Mutagenesis and Pharmacology, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Dementia and Cognitive Impairment Research (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Imaging Techniques and Applications (2 papers), Advanced MRI Techniques and Applications (2 papers), Heart Rate Variability and Autonomic Control (2 papers) and Musculoskeletal pain and rehabilitation (2 papers). The work is most often cited by research in Health Informatics (35 citations), Cognitive Neuroscience (344 citations), Radiology, Nuclear Medicine and Imaging (361 citations), Psychiatry and Mental health (150 citations) and Neurology (82 citations). Vishnu Bashyam has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Christos A. Davatzikos, Theodore Daniel Satterthwaite, Fengling Hu, Hannah Horng, Aaron F. Alexander‐Bloch, Mingyao Li, Meichen Yu, Russell Taki Shinohara, Andrew An Chen and Haochang Shou. Their work appears in journals such as NeuroImage, Journal of Magnetic Resonance Imaging, Neuro-Oncology, Journal of Neuroscience and Pain.

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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