Tom Fuchs

1.2k citations
54 papers · 824 · h-index 20

Impact in

    • Multiple Sclerosis Research Studies
  • Neurology top 5%
    • Long-Term Effects of COVID-19
    • Peripheral Neuropathies and Disorders
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Tom Fuchs

51 papers receiving 821 citations

Peers

Tom Fuchs
Comparison fields: 5 of 78
  • Pathology and Forensic Medicine 663
  • Neurology 220
  • Developmental Neuroscience 53
  • Neurology 92
  • Psychiatry and Mental health 107
Replace Fred Foley with:
Fred Foley United States
Giulia Longoni Canada
Habib Ganjgahi United Kingdom
Michaela Andělová Switzerland
Delphine Lamargue-Hamel France
Mathilde Deloire France
Nadir Abdelrahman United States
Janina Behrens Germany
Viola Biberacher Germany
Jean‐Baptiste Chanson France
Tom Fuchs relative to Fred Foley United States Fred Foley's profile →
Citations per field
00.5×3.5×
Fred Foley · 1×
Citations per year

Countries citing papers authored by Tom Fuchs

Since Specialization
Citations

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

Fields of papers citing papers by Tom Fuchs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201980
2 201945
3 201943
4 201939
5 202138
6 202037
7 201834
8 202234
9 201930
10 201826
11 202123
12 202023
13 202122
14 201821
15 201821
16 201821
17 201821
18 202120
19 202019
20 202019

About Tom Fuchs

Tom Fuchs is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Neurology, Cognitive Neuroscience and Psychiatry and Mental health, having authored 54 papers that have together received 824 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (47 papers), Advanced Neuroimaging Techniques and Applications (15 papers), Functional Brain Connectivity Studies (7 papers), Long-Term Effects of COVID-19 (5 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (5 papers), Peripheral Neuropathies and Disorders (5 papers), Ultrasound Imaging and Elastography (4 papers) and Systemic Lupus Erythematosus Research (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (663 citations), Neurology (220 citations), Developmental Neuroscience (53 citations), Neurology (92 citations) and Psychiatry and Mental health (107 citations). Tom Fuchs has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Bianca Weinstock‐Guttman, Ralph H. B. Benedict, Robert Zivadinov, Michael G. Dwyer, Dejan Jakimovski, Niels Bergsland, Curtis Wojcik, Deepa P. Ramasamy, Jesper Hagemeier and Shumita Roy. Their work appears in journals such as Multiple Sclerosis Journal, Multiple Sclerosis and Related Disorders, Journal of Neurology, Neurology and NeuroImage Clinical.

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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