Jimit Doshi

61 papers receiving 3.2k citations

Jimit Doshi's Hit Papers

White matter hyperintensities and imaging patterns of brain ageing in the general population 2016 · 303 citations
3030+3+6Years since publication100200300

Peers

Jimit Doshi
Comparison fields: 5 of 134
  • Psychiatry and Mental health 798
  • Neurology 393
  • Cognitive Neuroscience 957
  • Sensory Systems 211
  • Radiology, Nuclear Medicine and Imaging 701
Replace Yu Kyeong Kim with:
Yu Kyeong Kim South Korea
Güray Erus United States
Jennifer M. Nicholas United Kingdom
Silvia Marino Italy
Bradley J. MacIntosh Canada
Per Julin Sweden
Manja Lehmann United Kingdom
Byoung Seok Ye South Korea
David F. Tang‐Wai Canada
Grégoria Kalpouzos Sweden
Jimit Doshi relative to Yu Kyeong Kim South Korea Yu Kyeong Kim's profile →
Citations per field
00.5×3.1×
Yu Kyeong Kim · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014400
2
White matter hyperintensities and imaging patterns of brain ageing in the general population
Hit paper breakdown →
2016303
3 2015193
4 2013182
5 2011155
6 2018144
7 2016120
8 2018108
9 2016102
10 2018102
11 201793
12 201992
13 201974
14 201673
15 201568
16 201368
17 202066
18 201861
19 201860
20 201249

About Jimit Doshi

Jimit Doshi is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Physiology, having authored 61 papers that have together received 3.3k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (23 papers), Functional Brain Connectivity Studies (15 papers), Advanced Neuroimaging Techniques and Applications (11 papers), Medical Image Segmentation Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Alzheimer's disease research and treatments (5 papers), Glioma Diagnosis and Treatment (5 papers) and MRI in cancer diagnosis (3 papers). The work is most often cited by research in Psychiatry and Mental health (798 citations), Neurology (393 citations), Cognitive Neuroscience (957 citations), Sensory Systems (211 citations) and Radiology, Nuclear Medicine and Imaging (701 citations). Jimit Doshi has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Christos Davatzikos, Güray Erus, Susan M. Resnick, Luigi Ferrucci, Yangming Ou, Frank R. Lin, David A. Wolk, Jon B. Toledo, Yang An and Bilwaj Gaonkar. Their work appears in journals such as NeuroImage, Neurobiology of Aging, Alzheimer s & Dementia, Brain and Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring.

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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