Jonathan Baets

8.9k citations
82 papers · 2.3k · h-index 27

Impact in

Papers in

Jonathan Baets

76 papers receiving 2.3k citations

Peers

Jonathan Baets
Comparison fields: 5 of 84
  • Cellular and Molecular Neuroscience 1.1k
  • Neurology 324
  • Cell Biology 449
  • Neurology 301
  • Molecular Biology 1.0k
Replace István Katona with:
István Katona Germany
Zhao-Xue Yu United States
Jun Mitsui Japan
Alessandro Malandrini Italy
Hiroyuki Ishiura Japan
R. H. M. King United Kingdom
Albena Jordanova Belgium
Satoko Miyatake Japan
Pedro Mancías United States
Yun Yuan China
Jonathan Baets relative to István Katona Germany István Katona's profile →
Citations per field
00.5×1.5×1.8×
István Katona · 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 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009195
2 2010140
3 2012125
4 2009125
5 2009105
6 201099
7 201090
8 202176
9 201166
10 200964
11 201460
12 201456
13 201554
14 201747
15 200946
16 201542
17 200941
18 200941
19 201934
20 201534

About Jonathan Baets

Jonathan Baets is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology, Neurology and Physiology, having authored 82 papers that have together received 2.3k indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (36 papers), Genetic Neurodegenerative Diseases (20 papers), Neurological diseases and metabolism (12 papers), Ion channel regulation and function (7 papers), Mitochondrial Function and Pathology (6 papers), Cellular transport and secretion (5 papers), RNA Research and Splicing (5 papers) and Endoplasmic Reticulum Stress and Disease (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Neurology (324 citations), Cell Biology (449 citations), Neurology (301 citations) and Molecular Biology (1.0k 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, Katrien Smets and Danique Beijer. Their work appears in journals such as Neuromuscular Disorders, Brain, Neurology, European Journal of Neurology and European 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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