Beat Thöny

137 papers receiving 6.3k citations

Beat Thöny's Hit Papers

Tetrahydrobiopterin biosynthesis, regeneration and functions 2000 · 739 citations
7390+8+17Years since publication200400600

Peers

Beat Thöny
Comparison fields: 5 of 128
  • Clinical Biochemistry 2.5k
  • Biochemistry 613
  • Biological Psychiatry 149
  • Molecular Biology 3.4k
  • Behavioral Neuroscience 157
Replace Niels Gregersen with:
Niels Gregersen Denmark
Rafael Artuch Spain
Jared Rutter United States
Arnold Y. Seo United States
Warren Ladiges United States
Hong Yu United States
Owen M. Rennert United States
Zhidan Wu United States
Bjørnar Hassel Norway
Inna I. Kruman United States
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-authors

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

Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Tetrahydrobiopterin biosynthesis, regeneration and functions
Hit paper breakdown →
2000739
2 2011380
3 2018317
4 2001178
5 2001178
6 2011174
7 2000171
8 1989160
9 2001153
10 2007151
11 2006142
12 2008141
13 1996120
14 1993105
15 2018101
16 200394
17 200183
18 198782
19 200880
20 201073

About Beat Thöny

Beat Thöny is a scholar working on Clinical Biochemistry, Molecular Biology, Biochemistry, Genetics and Rheumatology, having authored 138 papers that have together received 6.4k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (95 papers), Biochemical and Molecular Research (33 papers), Mitochondrial Function and Pathology (27 papers), Folate and B Vitamins Research (21 papers), Amino Acid Enzymes and Metabolism (18 papers), Neonatal Health and Biochemistry (17 papers), Diet and metabolism studies (12 papers) and Virus-based gene therapy research (8 papers). The work is most often cited by research in Clinical Biochemistry (2.5k citations), Biochemistry (613 citations), Biological Psychiatry (149 citations), Molecular Biology (3.4k citations) and Behavioral Neuroscience (157 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, Hauke Hennecke 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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