Beat Thöny

8.6k citations
132 papers · 6.0k indexed · 1 hit paper · h-index 41

Beat Thöny

132 papers receiving 6.0k citations

Hit Papers

Tetrahydrobiopterin biosynthesis, regeneration and functions7132000202620082017200400600

Peers

Beat Thöny
Comparison fields: 5 of 125
  • Clinical Biochemistry 2.4k
  • Biochemistry 644
  • Biological Psychiatry 160
  • Molecular Biology 3.5k
  • Behavioral Neuroscience 162
Replace Niels Gregersen with:
Niels Gregersen Denmark
Jared Rutter United States
Rita Horváth United Kingdom
Arnold Y. Seo United States
Hong Yu United States
Warren Ladiges United States
Bjørnar Hassel Norway
Michael L. McDaniel United States
Jonathan D. Geiger United States
Brett Garner Australia
Beat Thöny relative to Niels Gregersen Denmark Niels Gregersen's profile →
Citations per field
00.5×1.5×2.1×
Niels Gregersen · 1×
Citations per year

Countries citing papers authored by Beat Thöny

Since Specialization
Citations

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

Fields of papers citing papers by Beat Thöny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202112
2 201929
3 201813
4 201746
5 20151
6 201518
7 201420
8 20146
9 201444
10 20143
11 201226
12 2007144
13 199918
14 199721
15 19961
16 19956
17 19953
18 199518
19 199516
20 199355

About Beat Thöny

Beat Thöny is a scholar working on Clinical Biochemistry, Biochemistry, Rheumatology, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 132 papers that have together received 6.0k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (95 papers), Biochemical and Molecular Research (34 papers), Mitochondrial Function and Pathology (29 papers), Folate and B Vitamins Research (22 papers), Amino Acid Enzymes and Metabolism (21 papers), Neonatal Health and Biochemistry (17 papers), Diet and metabolism studies (15 papers) and Virus-based gene therapy research (9 papers). The work is most often cited by research in Clinical Biochemistry (2.4k citations), Biochemistry (644 citations), Biological Psychiatry (160 citations), Molecular Biology (3.5k citations) and Behavioral Neuroscience (162 citations). Beat Thöny has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Nenad Blau, Günter Auerbach, Ernst R. Werner, Luisa Bonafé, Aurora Martı́nez, Claus W. Heizmann, D.S. Hwang, A Kornberg, Cary O. Harding and Johann Penzien. Their work appears in journals such as Molecular Genetics and Metabolism, Human Mutation, Journal of Inherited Metabolic Disease, Journal of Biological Chemistry and Journal of Neurochemistry.

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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