Markus Schuelke
Impact in
- Genetics top 0.5%
- Genetic diversity and population structure
- Neurogenetic and Muscular Disorders Research
- Molecular Biology top 1%
- Muscle Physiology and Disorders
- Mitochondrial Function and Pathology
- Coenzyme Q10 studies and effects
- RNA modifications and cancer
Papers in
-
- Metabolism and Genetic Disorders 18
- Genetics 20
- Neurogenetic and Muscular Disorders Research 16
- Genomics and Rare Diseases 14
- Genetics and Neurodevelopmental Disorders 12
- Co-authors
- Christoph HübnerDominik SeelowThomas BraunLeslie E. StolzT RiebelJames F. TobinKathryn R. WagnerSe‐Jin Lee
- Journals
- Neurology (8 papers)Journal of Medical Genetics (7 papers)Nucleic Acids Research (6 papers)Neuropathology and Applied Neurobiology (6 papers)PLoS ONE (5 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Markus Schuelke
149 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Genetics 2.7k
- Molecular Biology 5.7k
- Clinical Biochemistry 561
- Genetics 831
- Cell Biology 1.1k
Countries citing papers authored by Markus Schuelke
This map shows the geographic impact of Markus Schuelke'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 Markus Schuelke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Schuelke more than expected).
Fields of papers citing papers by Markus Schuelke
This network shows the impact of papers produced by Markus Schuelke. 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 Markus Schuelke. The network helps show where Markus Schuelke may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Schuelke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 3 | |
| 7 | 2021 | 9 | |
| 8 | 2021 | 8 | |
| 9 | MutationTaster2021 Hit paper breakdown → | 2021 | 167 |
| 10 | 2021 | 2 | |
| 11 | 2020 | 22 | |
| 12 | 2020 | 12 | |
| 13 | 2020 | 10 | |
| 14 | 2020 | 8 | |
| 15 | 2019 | 17 | |
| 16 | 2019 | 31 | |
| 17 | 2018 | 2 | |
| 18 | 2017 | 41 | |
| 19 | 2010 | 36 | |
| 20 | 2007 | 328 |
About Markus Schuelke
Markus Schuelke is a scholar working on Clinical Biochemistry, Genetics, Molecular Biology, Genetics and Neurology, having authored 151 papers that have together received 9.8k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (31 papers), Muscle Physiology and Disorders (20 papers), Metabolism and Genetic Disorders (18 papers), Neurogenetic and Muscular Disorders Research (16 papers), Genomics and Rare Diseases (14 papers), ATP Synthase and ATPases Research (14 papers), RNA modifications and cancer (14 papers) and Genetics and Neurodevelopmental Disorders (12 papers). The work is most often cited by research in Genetics (2.7k citations), Molecular Biology (5.7k citations), Clinical Biochemistry (561 citations), Genetics (831 citations) and Cell Biology (1.1k citations). Markus Schuelke has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Christoph Hübner, Dominik Seelow, Thomas Braun, Leslie E. Stolz, T Riebel, James F. Tobin, Kathryn R. Wagner, Se‐Jin Lee, Jana Marie Schwarz and Peter Nürnberg. Their work appears in journals such as Neurology, Journal of Medical Genetics, Nucleic Acids Research, Neuropathology and Applied Neurobiology and PLoS ONE.
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.