Thomas Voït

12.0k citations
136 papers · 5.3k indexed · 1 hit paper · h-index 40

Thomas Voït

130 papers receiving 5.2k citations

Hit Papers

Mutations in the O-Mannosyltransferase Gene POMT1 Give Ri...5192002202620102018100200300400500

Peers

Thomas Voït
Comparison fields: 5 of 127
  • Genetics 982
  • Molecular Biology 3.5k
  • Cardiology and Cardiovascular Medicine 1.1k
  • Clinical Biochemistry 297
  • Physiology 1.0k
Replace Lucía Morandi with:
Lucía Morandi Italy
Zohar Argov Israel
Adele D’Amico Italy
Brenda Wong United States
Elena Pegoraro Italy
Kevin M. Flanigan United States
Thomas Voit Germany
Massimiliano Mirabella Italy
Claudio Bruno Italy
B. Eymard France
Thomas Voït relative to Lucía Morandi Italy Lucía Morandi's profile →
Citations per field
00.5×1.5×
Lucía Morandi · 1×
Citations per year

Countries citing papers authored by Thomas Voït

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Voït

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20243
3 20242
4 20240
5 202411
6 20240
7 202313
8 202320
9 202020
10 201633
11 2015240
12 201312
13 201231
14 201239
15 20091
16 20071
17 200488
18 200336
19 200143
20
Isolated hypoglycorrhachia in a female newborn: an additional case of GLUT-1 deficiency
19991

About Thomas Voït

Thomas Voït is a scholar working on Genetics, Clinical Biochemistry and Molecular Biology, having authored 136 papers that have together received 5.3k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (61 papers), Cardiomyopathy and Myosin Studies (21 papers), Neurogenetic and Muscular Disorders Research (18 papers), Metabolism and Genetic Disorders (12 papers), Diet and metabolism studies (11 papers), RNA Research and Splicing (11 papers), Virus-based gene therapy research (10 papers) and Respiratory Support and Mechanisms (8 papers). The work is most often cited by research in Genetics (982 citations), Molecular Biology (3.5k citations) and Cardiology and Cardiovascular Medicine (1.1k citations). Thomas Voït has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Uwe Mellies, Helmut Teschler, R. Ragette, Jörg Klepper, Christian Dohna‐Schwake, Alice Steinbrecher, Luis Garcı́a, William B. Dobyns, Hans van Bokhoven and Han G. Brunner. Their work appears in journals such as Neuromuscular Disorders, Neuropediatrics, Neurology, European Journal of Pediatrics and Human Molecular 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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