Virginia Devonshire

1.8k citations
35 papers · 1.2k · h-index 14

Impact in

Papers in

Virginia Devonshire

31 papers receiving 1.2k citations

Peers

Virginia Devonshire
Comparison fields: 5 of 78
  • Pathology and Forensic Medicine 1.0k
  • Neurology 311
  • Rheumatology 306
  • Hematology 117
  • Family Practice 23
Replace Christina Caon with:
Christina Caon United States
D Goodkin United States
Gabriel Pardo United States
Amy Waldman United States
Katharine Harding United Kingdom
Leszek Stawiarz Sweden
Maria Lopez-Bresnahan United States
Laurent Suchet France
Claire Hirst United Kingdom
Benjamin Turner United Kingdom
Virginia Devonshire relative to Christina Caon United States Christina Caon's profile →
Citations per field
00.5×3.6×
Christina Caon · 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 2010282
2 2008178
3 2008151
4 200685
5 202072
6 200956
7 201849
8 201043
9 202241
10 201122
11 201922
12 202020
13 202217
14 202117
15 201613
16 202013
17 200813
18 201412
19 202112
20 201112

About Virginia Devonshire

Virginia Devonshire is a scholar working on Pathology and Forensic Medicine, Rheumatology, Oncology, Neurology and Public Health, Environmental and Occupational Health, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (30 papers), Polyomavirus and related diseases (7 papers), Peripheral Neuropathies and Disorders (7 papers), Rheumatoid Arthritis Research and Therapies (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Systemic Lupus Erythematosus Research (5 papers), Reproductive System and Pregnancy (4 papers) and Pregnancy and Medication Impact (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.0k citations), Neurology (311 citations), Rheumatology (306 citations), Hematology (117 citations) and Family Practice (23 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, Yves Lapierre, R. Macdonell, Laurent Suchet, Francesco Patti, Robert Hyde and Paulo Fontoura. Their work appears in journals such as Multiple Sclerosis and Related Disorders, Multiple Sclerosis Journal, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques, Neurology and 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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