Jimit Doshi

7.8k total citations · 1 hit paper
62 papers, 3.1k citations indexed

About

Jimit Doshi is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jimit Doshi has authored 62 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Psychiatry and Mental health, 26 papers in Cognitive Neuroscience and 24 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jimit Doshi's work include Dementia and Cognitive Impairment Research (23 papers), Functional Brain Connectivity Studies (21 papers) and Advanced Neuroimaging Techniques and Applications (16 papers). Jimit Doshi is often cited by papers focused on Dementia and Cognitive Impairment Research (23 papers), Functional Brain Connectivity Studies (21 papers) and Advanced Neuroimaging Techniques and Applications (16 papers). Jimit Doshi collaborates with scholars based in United States, Germany and Brazil. Jimit Doshi's co-authors include Christos Davatzikos, Güray Erus, Susan M. Resnick, Luigi Ferrucci, Yangming Ou, David A. Wolk, Frank R. Lin, Jon B. Toledo, Yang An and Bilwaj Gaonkar and has published in prestigious journals such as JAMA, PLoS ONE and NeuroImage.

In The Last Decade

Jimit Doshi

61 papers receiving 3.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

White matter hyperintensities and imaging patterns of brain ageing in the general population

2016 284 citations Mohamad Habes, Güray Erus et al. Brain profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jimit Doshi United States	30	1.2k	902	897	537	511	62	3.1k
Güray Erus United States	33	1.7k 1.5×	1.2k 1.3×	1.0k 1.2×	553 1.0×	458 0.9×	116	4.0k
Yu Kyeong Kim South Korea	38	990 0.8×	863 1.0×	1.1k 1.3×	1.1k 2.0×	613 1.2×	192	4.4k
Wei Cheng China	35	2.3k 1.9×	685 0.8×	769 0.9×	565 1.1×	326 0.6×	188	4.6k
Silvia Marino Italy	33	948 0.8×	523 0.6×	710 0.8×	353 0.7×	525 1.0×	217	3.6k
Carles Falcón Spain	40	1.9k 1.6×	1.1k 1.2×	1.3k 1.5×	711 1.3×	1.0k 2.0×	155	4.9k
Per Julin Sweden	32	1.8k 1.5×	712 0.8×	1.4k 1.6×	895 1.7×	454 0.9×	83	4.0k
Mona K. Beyer Norway	32	489 0.4×	557 0.6×	756 0.8×	639 1.2×	330 0.6×	91	2.8k
Jennifer M. Nicholas United Kingdom	29	674 0.6×	319 0.4×	853 1.0×	797 1.5×	331 0.6×	98	3.1k
Kun‐Hsien Chou Taiwan	31	1.4k 1.2×	1.0k 1.1×	975 1.1×	479 0.9×	312 0.6×	94	3.4k
Manja Lehmann United Kingdom	31	1.7k 1.5×	1.2k 1.4×	1.8k 2.1×	1.4k 2.6×	595 1.2×	55	4.3k

Countries citing papers authored by Jimit Doshi

Since Specialization

Citations

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

Fields of papers citing papers by Jimit Doshi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jimit Doshi

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

All Works

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20 of 20 papers shown

Doshi, Jimit, et al.. (2025). Genomic medicine and personalized treatment: a narrative review. Annals of Medicine and Surgery. 87(3). 1406–1414. 2 indexed citations

Arshad, Aysha, et al.. (2025). Partial upper sternotomy vs full median sternotomy in obese patients undergoing aortic valve replacement: A meta-analysis. World Journal of Cardiology. 17(9). 110838–110838.

Serpa, Maurício H., Jimit Doshi, Helena Passarelli Giroud Joaquim, et al.. (2023). Inflammatory cytokines and white matter microstructure in the acute phase of first-episode psychosis: A longitudinal study. Schizophrenia Research. 257. 5–18. 3 indexed citations

Habes, Mohamad, Ali Ezzati, Richard B. Lipton, et al.. (2021). Leveraging machine learning predictive biomarkers to augment the statistical power of clinical trials with baseline magnetic resonance imaging. Brain Communications. 3(4). fcab264–fcab264. 6 indexed citations

Wisse, Laura E.M., Long Xie, Sandhitsu R. Das, et al.. (2021). Tau pathology mediates age effects on medial temporal lobe structure. Neurobiology of Aging. 109. 135–144. 12 indexed citations

Srinivasan, Dhivya, Güray Erus, Jimit Doshi, et al.. (2020). A comparison of Freesurfer and multi-atlas MUSE for brain anatomy segmentation: Findings about size and age bias, and inter-scanner stability in multi-site aging studies. NeuroImage. 223. 117248–117248. 30 indexed citations

Armstrong, Nicole M., Logan Dumitrescu, Yang An, et al.. (2020). Association of hippocampal volume polygenic predictor score with baseline and change in brain volumes and cognition among cognitively healthy older adults. Neurobiology of Aging. 94. 81–88. 3 indexed citations

Armstrong, Nicole M., Yang An, Lori L. Beason‐Held, et al.. (2018). Predictors of neurodegeneration differ between cognitively normal and subsequently impaired older adults. Neurobiology of Aging. 75. 178–186. 36 indexed citations

Hartung, Erum A., Güray Erus, Abbas F. Jawad, et al.. (2018). Brain Magnetic Resonance Imaging Findings in Children and Young Adults With CKD. American Journal of Kidney Diseases. 72(3). 349–359. 22 indexed citations

10.

Eavani, Harini, Mohamad Habes, Theodore D. Satterthwaite, et al.. (2018). Heterogeneity of structural and functional imaging patterns of advanced brain aging revealed via machine learning methods. Neurobiology of Aging. 71. 41–50. 56 indexed citations

11.

Serpa, Maurício H., Jimit Doshi, Güray Erus, et al.. (2017). State-dependent microstructural white matter changes in drug-naïve patients with first-episode psychosis. Psychological Medicine. 47(15). 2613–2627. 31 indexed citations

12.

Habes, Mohamad, Jon B. Toledo, Susan M. Resnick, et al.. (2016). Relationship betweenAPOEGenotype and Structural MRI Measures throughout Adulthood in the Study of Health in Pomerania Population-Based Cohort. American Journal of Neuroradiology. 37(9). 1636–1642. 32 indexed citations

13.

Habes, Mohamad, Güray Erus, Jon B. Toledo, et al.. (2016). White matter hyperintensities and imaging patterns of brain ageing in the general population. Brain. 139(4). 1164–1179. 284 indexed citations breakdown →

14.

Habes, Mohamad, Deborah Janowitz, Güray Erus, et al.. (2016). Advanced brain aging: relationship with epidemiologic and genetic risk factors, and overlap with Alzheimer disease atrophy patterns. Translational Psychiatry. 6(4). e775–e775. 95 indexed citations

15.

Sankar, Anjali, Tianhao Zhang, Bilwaj Gaonkar, et al.. (2016). Diagnostic potential of structural neuroimaging for depression from a multi-ethnic community sample. BJPsych Open. 2(4). 247–254. 21 indexed citations

16.

Linn, Kristin A., Bilwaj Gaonkar, Jimit Doshi, Christos Davatzikos, & Russell T. Shinohara. (2015). Addressing Confounding in Predictive Models with an Application to Neuroimaging. The International Journal of Biostatistics. 12(1). 31–44. 26 indexed citations

17.

Doshi, Jimit, Güray Erus, Yangming Ou, et al.. (2015). MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection. NeuroImage. 127. 186–195. 179 indexed citations

18.

Hartung, Erum A., Nina Laney, Ji Young Kim, et al.. (2015). Design and methods of the NiCK study: neurocognitive assessment and magnetic resonance imaging analysis of children and young adults with chronic kidney disease. BMC Nephrology. 16(1). 66–66. 12 indexed citations

19.

Zanetti, Marcus V., Maristela S. Schaufelberger, Jimit Doshi, et al.. (2012). Neuroanatomical pattern classification in a population-based sample of first-episode schizophrenia. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 43. 116–125. 43 indexed citations

20.

Weintraub, Daniel, John E. Duda, David A. Wolk, et al.. (2011). Alzheimer's disease pattern of brain atrophy predicts cognitive decline in Parkinson's disease. Brain. 135(1). 170–180. 152 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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