Tom E Feasby

1.5k citations
16 papers · 924 · h-index 13

Impact in

  • Neurology top 2%
    • Peripheral Neuropathies and Disorders
    • Autoimmune Neurological Disorders and Treatments
    • Long-Term Effects of COVID-19
    • Multiple Sclerosis Research Studies

Papers in

Tom E Feasby

16 papers receiving 856 citations

Peers

Tom E Feasby
Comparison fields: 5 of 58
  • Neurology 607
  • Pathology and Forensic Medicine 131
  • Radiology, Nuclear Medicine and Imaging 110
  • Cellular and Molecular Neuroscience 38
  • Toxicology 11
Replace J. Pollard with:
J. Pollard Australia
J. C. Raphaël France
Iveta Nováková Czechia
John Anthony Morren United States
Chiara Dalla Torre Italy
Takenobu Kunieda Japan
Enrica Pinchi Italy
Joern P. Sieb Germany
Daniel L. Wolf United States
Joe C. Watson United States
Tom E Feasby relative to J. Pollard Australia J. Pollard's profile →
Citations per field
00.5×2×3.1×
J. Pollard · 1×
Citations per year

Countries citing papers authored by Tom E Feasby

Since Specialization
Citations

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

Fields of papers citing papers by Tom E Feasby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom E Feasby. 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 Tom E Feasby. The network helps show where Tom E Feasby may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2018224
2 2000216
3 1985121
4 2007112
5 202146
6 198242
7 199137
8 200732
9 198431
10 198115
11 198115
12 198114
13 198313
14
ELECTROPHYSIOLOGICAL CHANGES IN THE ACUTE AXONAL FORM OF GBS
19933
15 19862
16 19811

About Tom E Feasby

Tom E Feasby is a scholar working on Neurology, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Toxicology, having authored 16 papers that have together received 924 indexed citations. Recurring topics across this work include Peripheral Neuropathies and Disorders (8 papers), Multiple Sclerosis Research Studies (4 papers), Nerve injury and regeneration (2 papers), Peripheral Nerve Disorders (1 paper), Bacterial Infections and Vaccines (1 paper), Hereditary Neurological Disorders (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Advanced MRI Techniques and Applications (1 paper). The work is most often cited by research in Neurology (607 citations), Pathology and Forensic Medicine (131 citations), Radiology, Nuclear Medicine and Imaging (110 citations), Cellular and Molecular Neuroscience (38 citations) and Toxicology (11 citations). Tom E Feasby has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Angelika F. Hahn, William F. Brown, Douglas William Zochodne, J. J. Gilbert, George C. Ebers, Brenda Banwell, T. A. Sears, John Freedman, Vera Bril and Melissa C. Brouwers. Their work appears in journals such as Neurology, Journal of Neurology Neurosurgery & Psychiatry, Brain, Journal of the Neurological Sciences and The Lancet.

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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