Dittmar Labeit
Impact in
- Rehabilitation top 10%
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- Adipose Tissue and Metabolism
- Nutrition and Health in Aging
Papers in
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- Muscle Physiology and Disorders 4
- Ubiquitin and proteasome pathways 1
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- Cardiovascular Effects of Exercise 1
- Acute Myocardial Infarction Research 1
- Co-authors
- Siegfried Labeit (9 shared papers)Alexander Gasch (6 shared papers)Muzamil Majid Khan (3 shared papers)Rüdiger Rudolf (3 shared papers)Christian Witt (2 shared papers)Henk Granzier (1 shared paper)Markus Reischl (2 shared papers)Christine Kohl (1 shared paper)
- Journals
- Journal of Cachexia Sarcopenia and Muscle (2 papers)Autophagy (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Molecular Biology (1 paper)BioMed Research International (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Dittmar Labeit
10 papers receiving 567 citations
Peers
Comparison fields: 5 of 65
- Rehabilitation 38
- Physiology 143
- Cellular and Molecular Neuroscience 99
- Molecular Biology 373
- Cell Biology 88
Countries citing papers authored by Dittmar Labeit
This map shows the geographic impact of Dittmar Labeit'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 Dittmar Labeit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dittmar Labeit more than expected).
Fields of papers citing papers by Dittmar Labeit
This network shows the impact of papers produced by Dittmar Labeit. 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 Dittmar Labeit. The network helps show where Dittmar Labeit may publish in the future.
Co-authors
The 25 scholars most cited alongside Dittmar Labeit, 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 | 2016 | 133 | |
| 2 | 2017 | 82 | |
| 3 | 2013 | 80 | |
| 4 | 2008 | 78 | |
| 5 | 2010 | 77 | |
| 6 | 2012 | 56 | |
| 7 | 2019 | 42 | |
| 8 | 2016 | 11 | |
| 9 | 2016 | 11 | |
| 10 | 2025 | 1 |
About Dittmar Labeit
Dittmar Labeit is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Infectious Diseases and Genetics, having authored 10 papers that have together received 571 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (4 papers), Genetics and Neurodevelopmental Disorders (1 paper), Ubiquitin and proteasome pathways (1 paper), Cardiovascular Effects of Exercise (1 paper), Neurogenetic and Muscular Disorders Research (1 paper), Acute Myocardial Infarction Research (1 paper), Calcium signaling and nucleotide metabolism (1 paper) and Genetic Neurodegenerative Diseases (1 paper). The work is most often cited by research in Rehabilitation (38 citations), Physiology (143 citations), Cellular and Molecular Neuroscience (99 citations), Molecular Biology (373 citations) and Cell Biology (88 citations). Dittmar Labeit has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Siegfried Labeit, Alexander Gasch, Muzamil Majid Khan, Rüdiger Rudolf, Christian Witt, Henk Granzier, Markus Reischl, Christine Kohl, Franziska Wild and S. Strack. Their work appears in journals such as Journal of Cachexia Sarcopenia and Muscle, Autophagy, Proceedings of the National Academy of Sciences, Journal of Molecular Biology and BioMed Research International.
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.