Virginia Devonshire

1.8k citations
35 papers · 1.3k · h-index 15

Impact in

Papers in

Virginia Devonshire

31 papers receiving 1.2k citations

Peers

Virginia Devonshire
Comparison fields: 5 of 68
  • Pathology and Forensic Medicine 1.0k
  • Neurology 176
  • Rheumatology 141
  • Developmental Neuroscience 33
  • Oncology 150
Replace Benjamin Turner with:
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Virginia Devonshire relative to Benjamin Turner United Kingdom Benjamin Turner's profile →
Citations per field
00.5×1.5×
Benjamin Turner · 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

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010285
2 2008190
3 2008165
4 200694
5 202081
6 200963
7 201851
8 201045
9 202244
10 202024
11 201124
12 201922
13 202118
14 202218
15 202015
16 200814
17 201614
18 201113
19 201912
20 201412

About Virginia Devonshire

Virginia Devonshire is a scholar working on Pathology and Forensic Medicine, Oncology, Rheumatology, Molecular Biology and Neurology, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (27 papers), Polyomavirus and related diseases (3 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Peripheral Neuropathies and Disorders (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Systemic Lupus Erythematosus Research (2 papers) and Neurological Complications and Syndromes (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (1.0k citations), Neurology (176 citations), Rheumatology (141 citations), Developmental Neuroscience (33 citations) and Oncology (150 citations). Virginia Devonshire has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Helen Tremlett, Yinshan Zhao, Yinshan Zhao, Joyce Pauline Joseph, Elliot M. Frohman, Yves Lapierre, Laurent Suchet, Paulo Fontoura, R. Macdonell and Francesco Patti. Their work appears in journals such as Multiple Sclerosis Journal, Multiple Sclerosis and Related Disorders, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques, Neurology and Frontiers in 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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