Ashish Raj

4.7k total citations · 1 hit paper
113 papers, 3.0k citations indexed

About

Ashish Raj is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Physiology. According to data from OpenAlex, Ashish Raj has authored 113 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Radiology, Nuclear Medicine and Imaging, 66 papers in Cognitive Neuroscience and 24 papers in Physiology. Recurrent topics in Ashish Raj's work include Functional Brain Connectivity Studies (60 papers), Advanced Neuroimaging Techniques and Applications (55 papers) and Advanced MRI Techniques and Applications (31 papers). Ashish Raj is often cited by papers focused on Functional Brain Connectivity Studies (60 papers), Advanced Neuroimaging Techniques and Applications (55 papers) and Advanced MRI Techniques and Applications (31 papers). Ashish Raj collaborates with scholars based in United States, India and Italy. Ashish Raj's co-authors include Amy Kuceyeski, Michael W. Weiner, Farras Abdelnour, Sneha Pandya, Norman Relkin, Henning U. Voss, Susan A. Gauthier, Eve LoCastro, Christopher Mezias and Thanh D. Nguyen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Ashish Raj

107 papers receiving 2.9k citations

Hit Papers

A Network Diffusion Model of Disease Progression in Dementia 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ashish Raj United States 32 1.6k 1.4k 601 445 422 113 3.0k
Phil Lee United States 36 1.1k 0.7× 1.9k 1.4× 662 1.1× 570 1.3× 410 1.0× 157 4.3k
Amy Kuceyeski United States 25 1.3k 0.8× 880 0.6× 345 0.6× 276 0.6× 268 0.6× 86 2.3k
Alessandra Bertoldo Italy 32 767 0.5× 1.2k 0.9× 438 0.7× 619 1.4× 327 0.8× 183 3.6k
Yonggang Shi United States 30 743 0.5× 1.6k 1.2× 336 0.6× 216 0.5× 178 0.4× 141 3.3k
Alle Meije Wink Netherlands 33 2.0k 1.3× 1.2k 0.9× 643 1.1× 271 0.6× 273 0.6× 70 3.6k
Yasser Iturria‐Medina Canada 27 2.0k 1.3× 1.4k 1.0× 642 1.1× 419 0.9× 351 0.8× 92 3.4k
Brian Patenaude United States 14 2.3k 1.5× 2.0k 1.4× 431 0.7× 245 0.6× 609 1.4× 18 5.0k
Neda Jahanshad United States 41 2.3k 1.5× 2.3k 1.7× 652 1.1× 779 1.8× 216 0.5× 275 5.2k
Philippe Gervais France 17 851 0.5× 544 0.4× 380 0.6× 332 0.7× 224 0.5× 37 2.5k
Joaquín Goñi United States 33 3.5k 2.3× 1.8k 1.3× 200 0.3× 502 1.1× 258 0.6× 91 4.9k

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-authorship network of co-authors of Ashish Raj

This figure shows the co-authorship network connecting the top 25 collaborators of Ashish Raj. A scholar is included among the top collaborators of Ashish Raj 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 Ashish Raj. Ashish Raj is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Zengmin, Meysam Hashemi, Pascale Quilichini, et al.. (2025). Mapping global brain reconfigurations following local targeted manipulations. Proceedings of the National Academy of Sciences. 122(16). e2405706122–e2405706122. 2 indexed citations
2.
Bertsch, Michiel, et al.. (2025). A network-level transport model of tau progression in the Alzheimer’s brain. Mathematical Medicine and Biology A Journal of the IMA. 42(2). 212–238.
3.
Nagarajan, Srikantan S., et al.. (2024). Integrative, segregative, and degenerate harmonics of the structural connectome. Communications Biology. 7(1). 986–986. 1 indexed citations
4.
Mezias, Christopher, et al.. (2022). Matrix Inversion and Subset Selection (MISS): A pipeline for mapping of diverse cell types across the murine brain. Proceedings of the National Academy of Sciences. 119(14). e2111786119–e2111786119. 5 indexed citations
5.
Verma, Parul, Srikantan S. Nagarajan, & Ashish Raj. (2022). Stability and dynamics of a spectral graph model of brain oscillations. Network Neuroscience. 7(1). 48–72. 5 indexed citations
6.
Ranasinghe, Kamalini G., Parul Verma, Chang Cai, et al.. (2022). Altered excitatory and inhibitory neuronal subpopulation parameters are distinctly associated with tau and amyloid in Alzheimer’s disease. eLife. 11. 64 indexed citations
7.
Cummings, Jennifer, et al.. (2022). Time-varying dynamic network model for dynamic resting state functional connectivity in fMRI and MEG imaging. NeuroImage. 254. 119131–119131. 13 indexed citations
8.
Maia, Pedro D., et al.. (2022). The effects of microglia on tauopathy progression can be quantified using Nexopathy in silico (Nexis) models. Scientific Reports. 12(1). 21170–21170. 16 indexed citations
9.
Raj, Ashish, Xiao Gao, Hanna Cho, et al.. (2021). Combined Model of Aggregation and Network Diffusion Recapitulates Alzheimer's Regional Tau-Positron Emission Tomography. Brain Connectivity. 11(8). 624–638. 17 indexed citations
10.
Raj, Ashish. (2021). Graph Models of Pathology Spread in Alzheimer's Disease: An Alternative to Conventional Graph Theoretic Analysis. Brain Connectivity. 11(10). 799–814. 11 indexed citations
11.
Maia, Pedro D., et al.. (2020). Dynamical Role of Pivotal Brain Regions in Parkinson Symptomatology Uncovered with Deep Learning. Brain Sciences. 10(2). 73–73. 12 indexed citations
12.
Pandya, Sneha, Yashar Zeighami, Benjamin Freeze, et al.. (2019). Predictive model of spread of Parkinson's pathology using network diffusion. NeuroImage. 192. 178–194. 58 indexed citations
13.
Mezias, Christopher & Ashish Raj. (2017). Analysis of Amyloid-β Pathology Spread in Mouse Models Suggests Spread Is Driven by Spatial Proximity, Not Connectivity. Frontiers in Neurology. 8. 653–653. 19 indexed citations
14.
Pandya, Sneha, Christopher Mezias, & Ashish Raj. (2017). Predictive Model of Spread of Progressive Supranuclear Palsy Using Directional Network Diffusion. Frontiers in Neurology. 8. 692–692. 31 indexed citations
15.
Sudarov, Anamaria, Xin‐Jun Zhang, Eve LoCastro, et al.. (2017). Mature Hippocampal Neurons Require LIS1 for Synaptic Integrity: Implications for Cognition. Biological Psychiatry. 83(6). 518–529. 11 indexed citations
16.
LoCastro, Eve, Diana Acosta, Mohamed Ahmed, et al.. (2017). Age-Related Changes in Topological Degradation of White Matter Networks and Gene Expression in Chronic Schizophrenia. Brain Connectivity. 7(9). 574–589. 7 indexed citations
17.
Abdelnour, Farras, Ashish Raj, Orrin Devinsky, & Thomas Thesen. (2016). Network Analysis on Predicting Mean Diffusivity Change at Group Level in Temporal Lobe Epilepsy. Brain Connectivity. 6(8). 607–620. 2 indexed citations
18.
Raj, Ashish, Amy Kuceyeski, & Michael W. Weiner. (2012). A Network Diffusion Model of Disease Progression in Dementia. Neuron. 73(6). 1204–1215. 485 indexed citations breakdown →
19.
Kovanlıkaya, İlhami, Linda Heier, Ashish Raj, et al.. (2011). A Pilot Study of Quantitative MRI Measurements of Ventricular Volume and Cortical Atrophy for the Differential Diagnosis of Normal Pressure Hydrocephalus. SHILAP Revista de lepidopterología. 2012. 1–6. 37 indexed citations
20.
Raj, Ashish, et al.. (2010). Network-level analysis of cortical thickness of the epileptic brain. NeuroImage. 52(4). 1302–1313. 67 indexed citations

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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