Jimit Doshi

61 papers receiving 3.0k citations

Hit Papers

White matter hyperintensities and imaging patterns of brain ageing in the general population 2016 · 284 citations
284201620262019202250100150200250

Peers

Jimit Doshi
Comparison fields: 5 of 136
  • Sensory Systems 317
  • Neurology 511
  • Cognitive Neuroscience 1.2k
  • Psychiatry and Mental health 897
  • Radiology, Nuclear Medicine and Imaging 902
Replace Güray Erus with:
Güray Erus United States
Yu Kyeong Kim South Korea
Silvia Marino Italy
Wei Cheng China
Mona K. Beyer Norway
Jennifer M. Nicholas United Kingdom
Kathrin Reetz Germany
Per Julin Sweden
Simona Luzzi Italy
Carles Falcón Spain
Jimit Doshi relative to Güray Erus United States Güray Erus's profile →
Citations per field
00.5×3.5×
Güray Erus · 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 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014381
2
White matter hyperintensities and imaging patterns of brain ageing in the general population
Hit paper breakdown →
2016284
3 2015179
4 2013174
5 2011152
6 2018129
7 2016117
8 201898
9 201896
10 201695
11 201989
12 201788
13 201674
14 201971
15 201564
16 201362
17 202060
18 201859
19 201856
20 201243

About Jimit Doshi

Jimit Doshi is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Neurology and Biological Psychiatry, having authored 62 papers that have together received 3.1k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (23 papers), Functional Brain Connectivity Studies (21 papers), Advanced Neuroimaging Techniques and Applications (16 papers), Alzheimer's disease research and treatments (10 papers), Medical Image Segmentation Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Glioma Diagnosis and Treatment (5 papers) and Advanced MRI Techniques and Applications (4 papers). The work is most often cited by research in Sensory Systems (317 citations), Neurology (511 citations), Cognitive Neuroscience (1.2k citations), Psychiatry and Mental health (897 citations) and Radiology, Nuclear Medicine and Imaging (902 citations). Jimit Doshi has collaborated with scholars based in United States, Germany and Brazil. Frequent 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. Their work appears in journals such as NeuroImage, Neurobiology of Aging, Alzheimer s & Dementia, Brain and Academic Radiology.

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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