Anisha Doshi

1.1k citations
31 papers · 488 · h-index 8

Impact in

Papers in

Anisha Doshi

26 papers receiving 477 citations

Peers

Anisha Doshi
Comparison fields: 5 of 78
  • Pathology and Forensic Medicine 251
  • Neurology 108
  • Neurology 54
  • Endocrine and Autonomic Systems 44
  • Biological Psychiatry 16
Replace A. Garcı́a-Merino with:
A. Garcı́a-Merino Spain
Kristin N. Varhaug Norway
Meena Bhattacharjee United States
Silvana Montella Italy
Erik Ellwardt Germany
S. Komoly Hungary
Edward J. Parr Canada
Dusanka S. Skundric United States
Cinzia Montilli Italy
Francesco Boato Germany
Anisha Doshi relative to A. Garcı́a-Merino Spain A. Garcı́a-Merino's profile →
Citations per field
00.5×8.1×
A. Garcı́a-Merino · 1×
Citations per year

Countries citing papers authored by Anisha Doshi

Since Specialization
Citations

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

Fields of papers citing papers by Anisha Doshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016139
2 2017128
3 201495
4 201628
5 202221
6 202115
7 202011
8 202110
9 20236
10 20235
11 20135
12 20243
13 20163
14 20222
15 20122
16 20192
17 20242
18
Optical coherence tomography in secondary progressive multiple sclerosis: a baseline data report from the MS-SMART trial
20162
19 20251
20 20251

About Anisha Doshi

Anisha Doshi is a scholar working on Pathology and Forensic Medicine, Neurology, Rheumatology, Cognitive Neuroscience and Epidemiology, having authored 31 papers that have together received 488 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (21 papers), Rheumatoid Arthritis Research and Therapies (6 papers), Systemic Sclerosis and Related Diseases (3 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Functional Brain Connectivity Studies (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Viral Infections and Immunology Research (2 papers) and Optical Coherence Tomography Applications (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (251 citations), Neurology (108 citations), Neurology (54 citations), Endocrine and Autonomic Systems (44 citations) and Biological Psychiatry (16 citations). Anisha Doshi has collaborated with scholars based in United Kingdom, Netherlands and Italy. Frequent co-authors include Jeremy Chataway, Maria Björkqvist, Hilary Watt, Chris Frost, Peter C. Hindmarsh, Thomas T. Warner, Floriana De Angelis, Edina Silajdžić, Nathan R. Hill and Domenico Plantone. Their work appears in journals such as Journal of Neurology Neurosurgery & Psychiatry, Clinical Medicine, Multiple Sclerosis and Related Disorders, Multiple Sclerosis Journal and European Journal of Neurology.

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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