Jonathan Baets

9.3k citations
174 papers · 7.0k · 2 hit papers · h-index 48

Impact in

Papers in

Jonathan Baets

164 papers receiving 6.9k citations

Jonathan Baets's Hit Papers

Genomic reanalysis of a pan-European rare-disease resource yields new diagnoses 2025 · 27 citations
270+1+3Years since publication100200300400500

Peers

Jonathan Baets
Comparison fields: 5 of 85
  • Cellular and Molecular Neuroscience 2.2k
  • Neurology 984
  • Molecular Biology 898
  • Genetics 347
  • Sensory Systems 57
Replace Hiroyuki Ishiura with:
Hiroyuki Ishiura Japan
Benoît Funalot France
Michaela Auer‐Grumbach Austria
Hiroshi Doi Japan
John A. Kamholz United States
Salmo Raskin Brazil
Mary Beth Hovda Davis United Kingdom
Wim Robberecht Belgium
Maria Teresa Bassi Italy
Robert H. Baloh United States
Jonathan Baets relative to Hiroyuki Ishiura Japan Hiroyuki Ishiura's profile →
Citations per field
00.5×1.5×2×2.3×
Hiroyuki Ishiura · 1×
Citations per year

Countries citing papers authored by Jonathan Baets

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Baets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 174 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Safety, efficacy, and tolerability of efgartigimod in patients with generalised myasthenia gravis (ADAPT): a multicentre, randomised, placebo-controlled, phase 3 trial
Hit paper breakdown →
2021522
2 2013252
3 2009215
4 2011168
5 2010159
6 2010158
7 2008152
8 2015145
9 2012141
10 2009137
11 2015128
12 2010113
13 2019113
14 2009111
15 2007109
16 2010109
17 2010106
18 2011103
19 201294
20 201594

About Jonathan Baets

Jonathan Baets is a scholar working on Cellular and Molecular Neuroscience, Neurology, Genetics, Molecular Biology and Epidemiology, having authored 174 papers that have together received 7.0k indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (76 papers), Genetic Neurodegenerative Diseases (15 papers), Muscle Physiology and Disorders (14 papers), Genomics and Rare Diseases (12 papers), Amyotrophic Lateral Sclerosis Research (11 papers), Inflammatory Myopathies and Dermatomyositis (4 papers), Glycogen Storage Diseases and Myoclonus (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.2k citations), Neurology (984 citations), Molecular Biology (898 citations), Genetics (347 citations) and Sensory Systems (57 citations). Jonathan Baets has collaborated with scholars based in Belgium, Germany and United States. Frequent co-authors include Peter De Jonghe, Vincent Timmerman, Annelies Rotthier, Tine Deconinck, Albena Jordanova, Katrien Janssens, Michaela Auer‐Grumbach, Els De Vriendt, Stephan L. Zuchner and Danique Beijer. Their work appears in journals such as Brain, Neuromuscular Disorders, Neurology, European Journal of Human Genetics and The American Journal of Human Genetics.

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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