Virginia Devonshire

1.2k citations
11 papers · 553 · h-index 8

Impact in

    • Multiple Sclerosis Research Studies
    • Systemic Sclerosis and Related Diseases
  • Neurology top 10%
    • Peripheral Neuropathies and Disorders
    • Botulinum Toxin and Related Neurological Disorders

Papers in

Virginia Devonshire

10 papers receiving 533 citations

Peers

Virginia Devonshire
Comparison fields: 5 of 54
  • Pathology and Forensic Medicine 444
  • Neurology 121
  • Rheumatology 74
  • Psychiatry and Mental health 34
  • Hematology 18
Replace Kathleen M. Schwetz with:
Kathleen M. Schwetz United States
William T. Mayr United States
Mia Gannedahl Austria
Joseph Bruno Bidin Brooks Brazil
Katelyn Kavak United States
N. P. Robertson United Kingdom
Tarso Adoni Brazil
Antonio Martı́nez-Yélamos Spain
DS Goodin United States
G Rice Canada
Virginia Devonshire relative to Kathleen M. Schwetz United States Kathleen M. Schwetz's profile →
Citations per field
00.5×3.8×
Kathleen M. Schwetz · 1×
Citations per year

Countries citing papers authored by Virginia Devonshire

Since Specialization
Citations

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

Fields of papers citing papers by Virginia Devonshire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2006256
2 2007115
3 200570
4 200040
5 201221
6 201617
7 200614
8 202113
9 20226
10 20141
11 20250

About Virginia Devonshire

Virginia Devonshire is a scholar working on Pathology and Forensic Medicine, Neurology, Public Health, Environmental and Occupational Health, Rheumatology and Surgery, having authored 11 papers that have together received 553 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (7 papers), Peripheral Neuropathies and Disorders (2 papers), Systemic Lupus Erythematosus Research (2 papers), Amyotrophic Lateral Sclerosis Research (1 paper), Acute Lymphoblastic Leukemia research (1 paper), Epilepsy research and treatment (1 paper), Streptococcal Infections and Treatments (1 paper) and Spinal Dysraphism and Malformations (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (444 citations), Neurology (121 citations), Rheumatology (74 citations), Psychiatry and Mental health (34 citations) and Hematology (18 citations). Virginia Devonshire has collaborated with scholars based in Canada, United Kingdom and Switzerland. Frequent co-authors include Helen Tremlett, Donald W. Paty, Ana‐Luiza Sayao, H Grant Stiver, Fawziah Marra, Peter J. Jewesson, Yves Lapierre, Marcelo Kremenchutzky, Virender Bhan and David Li. Their work appears in journals such as Neurology, Frontiers in Neurology, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques, Journal of neurosurgery and Neuroepidemiology.

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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