Tom Fuchs

1.3k citations
55 papers · 869 · h-index 20

Impact in

    • Multiple Sclerosis Research Studies
  • Neurology top 10%
    • Long-Term Effects of COVID-19
    • Peripheral Neuropathies and Disorders
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Tom Fuchs

54 papers receiving 866 citations

Peers

Tom Fuchs
Comparison fields: 5 of 71
  • Pathology and Forensic Medicine 655
  • Neurology 105
  • Developmental Neuroscience 29
  • Neurology 46
  • Cognitive Neuroscience 61
Replace Viola Biberacher with:
Viola Biberacher Germany
Janek Vilisaar United Kingdom
Antonio Belenguer Spain
I. Pestalozza Italy
Monica Margoni Italy
B. Khatri United States
Marida Della Corte Italy
Pietro Annovazzi Italy
Adam F. Carpenter United States
Jelena Dačković Serbia
Tom Fuchs relative to Viola Biberacher Germany Viola Biberacher's profile →
Citations per field
00.5×4.6×
Viola Biberacher · 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 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201984
2 201945
3 201945
4 202143
5 201940
6 202238
7 202038
8 201835
9 201931
10 201827
11 202125
12 202123
13 202023
14 201822
15 201822
16 201821
17 202121
18 201821
19 202019
20 202019

About Tom Fuchs

Tom Fuchs is a scholar working on Pathology and Forensic Medicine, Neurology, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Social Psychology, having authored 55 papers that have together received 869 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (45 papers), Functional Brain Connectivity Studies (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Peripheral Neuropathies and Disorders (3 papers), Long-Term Effects of COVID-19 (2 papers), Hallucinations in medical conditions (1 paper), Alzheimer's disease research and treatments (1 paper) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (655 citations), Neurology (105 citations), Developmental Neuroscience (29 citations), Neurology (46 citations) and Cognitive Neuroscience (61 citations). Tom Fuchs has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Ralph H. B. Benedict, Robert Zivadinov, Bianca Weinstock‐Guttman, Michael G. Dwyer, Dejan Jakimovski, Niels Bergsland, Curtis Wojcik, Jesper Hagemeier, Deepa P. Ramasamy 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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