Ashish Raj

4.7k citations
113 papers · 3.0k · 1 hit paper · h-index 32

Impact in

Papers in

Ashish Raj

107 papers receiving 2.9k citations

Ashish Raj's Hit Papers

A Network Diffusion Model of Disease Progression in Dementia 2012 · 485 citations
4850+4+9Years since publication100200300400

Peers

Ashish Raj
Comparison fields: 5 of 131
  • Cognitive Neuroscience 1.6k
  • Radiology, Nuclear Medicine and Imaging 1.4k
  • Neurology 422
  • Neurology 206
  • Physiology 601
Replace Phil Lee with:
Phil Lee United States
Amy Kuceyeski United States
Yonggang Shi United States
Alexander Egan United States
Alle Meije Wink Netherlands
Yasser Iturria‐Medina Canada
Robert E. Smith Australia
Philippe Gervais France
Kim Mouridsen Denmark
Péter Hermán United States
Ashish Raj relative to Phil Lee United States Phil Lee's profile →
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Countries citing papers authored by Ashish Raj

Since Specialization
Citations

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

Fields of papers citing papers by Ashish Raj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Network Diffusion Model of Disease Progression in Dementia
Hit paper breakdown →
2012485
2 2014175
3 2015145
4 201894
5 201387
6 201473
7 201669
8 201067
9 201966
10 202264
11 201561
12 201958
13 201258
14 200652
15 201252
16 201151
17 201551
18 201848
19 201748
20 201444

About Ashish Raj

Ashish Raj is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Physiology, Neurology and Molecular Biology, having authored 113 papers that have together received 3.0k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (60 papers), Advanced Neuroimaging Techniques and Applications (55 papers), Advanced MRI Techniques and Applications (31 papers), Alzheimer's disease research and treatments (24 papers), Neural dynamics and brain function (21 papers), Parkinson's Disease Mechanisms and Treatments (10 papers), Dementia and Cognitive Impairment Research (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). The work is most often cited by research in Cognitive Neuroscience (1.6k citations), Radiology, Nuclear Medicine and Imaging (1.4k citations), Neurology (422 citations), Neurology (206 citations) and Physiology (601 citations). Ashish Raj has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Amy Kuceyeski, Michael W. Weiner, Farras Abdelnour, Sneha Pandya, Norman Relkin, Henning U. Voss, Susan A. Gauthier, Christopher Mezias, Eve LoCastro and Thanh D. Nguyen. Their work appears in journals such as NeuroImage, Human Brain Mapping, Magnetic Resonance in Medicine, Alzheimer s & Dementia and Brain Connectivity.

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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