Marc De Baets

2.2k citations
42 papers · 878 · h-index 18

Impact in

  • Neurology top 2%
    • Myasthenia Gravis and Thymoma
    • Peripheral Neuropathies and Disorders
    • Autoimmune Neurological Disorders and Treatments

Papers in

Marc De Baets

42 papers receiving 865 citations

Peers

Marc De Baets
Comparison fields: 5 of 79
  • Neurology 432
  • Biological Psychiatry 19
  • Immunology 121
  • Cellular and Molecular Neuroscience 105
  • Pathology and Forensic Medicine 92
Replace Giancarlo Conti with:
Giancarlo Conti Italy
Dongwei Wang China
Josephe A. Honorat Japan
L Marinova-Mutafchieva United Kingdom
Kristóf Égervári Switzerland
Maria Rita Murru Italy
Xiaobo Sun China
Toshiki Fujioka Japan
Jula Huppert Germany
Andrew D. Rogove United States
Marc De Baets relative to Giancarlo Conti Italy Giancarlo Conti's profile →
Citations per field
00.5×2.6×
Giancarlo Conti · 1×
Citations per year

Countries citing papers authored by Marc De Baets

Since Specialization
Citations

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

Fields of papers citing papers by Marc De Baets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc De Baets. 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 Marc De Baets. The network helps show where Marc De Baets may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008101
2 200580
3 199968
4 200966
5 201448
6 198340
7 199739
8 199932
9 201029
10 201528
11 200326
12 201324
13 199123
14 202122
15 199722
16 201721
17 199418
18 198418
19 200817
20 198216

About Marc De Baets

Marc De Baets is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 42 papers that have together received 878 indexed citations. Recurring topics across this work include Myasthenia Gravis and Thymoma (24 papers), Peripheral Neuropathies and Disorders (11 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Autoimmune Neurological Disorders and Treatments (5 papers), Thyroid Disorders and Treatments (4 papers), Cancer Treatment and Pharmacology (3 papers), Microbial Inactivation Methods (3 papers) and Ion channel regulation and function (3 papers). The work is most often cited by research in Neurology (432 citations), Biological Psychiatry (19 citations), Immunology (121 citations), Cellular and Molecular Neuroscience (105 citations) and Pathology and Forensic Medicine (92 citations). Marc De Baets has collaborated with scholars based in Netherlands, Belgium and United States. Frequent co-authors include P. van Breda Vriesman, Johan S.H. Vles, Jan J.G.M. Verschuuren, Mario Losen, Günter Kenis, Y. Graus, J Rogers, Maurizio Zanetti, Pilar Martínez‐Martínez and Brigitte Buchwald. Their work appears in journals such as The Journal of Immunology, Neurology, Journal of Neuroimmunology, Experimental Neurology and Annals of the New York Academy of Sciences.

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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