Gerhard Meng
Impact in
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- Neurogenetic and Muscular Disorders Research
- Animal Genetics and Reproduction
- Genomics and Rare Diseases
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- Cardiomyopathy and Myosin Studies
Papers in
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- Muscle Physiology and Disorders 15
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- Cardiomyopathy and Myosin Studies 8
- Cardiovascular Effects of Exercise 1
- Co-authors
- T. Grimm (7 shared papers)Wolfram Kreß (4 shared papers)B. Müller (5 shared papers)T. Bettecken (2 shared papers)C R Müller (1 shared paper)Sabina Liechti‐Gallati (2 shared papers)Clemens R. Müller (3 shared papers)C. R. Müller (4 shared papers)
- Journals
- Muscle & Nerve (2 papers)Genomics (2 papers)Journal of Medical Genetics (2 papers)Biological Chemistry (1 paper)Cardiology (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Gerhard Meng
15 papers receiving 304 citations
Peers
Comparison fields: 5 of 42
- Genetics 60
- Cardiology and Cardiovascular Medicine 86
- Molecular Biology 253
- Cellular and Molecular Neuroscience 58
- Genetics 80
Countries citing papers authored by Gerhard Meng
This map shows the geographic impact of Gerhard Meng'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 Gerhard Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerhard Meng more than expected).
Fields of papers citing papers by Gerhard Meng
This network shows the impact of papers produced by Gerhard Meng. 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 Gerhard Meng. The network helps show where Gerhard Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerhard Meng, 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 | 1994 | 89 | |
| 2 | 1992 | 44 | |
| 3 | Hot spot of recombination within DXS164 in the Duchenne muscular dystrophy gene. | 1989 | 33 |
| 4 | Risk assessment and genetic counseling in families with Duchenne muscular dystrophy. | 2012 | 33 |
| 5 | 2010 | 29 | |
| 6 | 1989 | 17 | |
| 7 | 1990 | 14 | |
| 8 | 2017 | 13 | |
| 9 | 2004 | 12 | |
| 10 | 1995 | 11 | |
| 11 | 1992 | 10 | |
| 12 | 2005 | 10 | |
| 13 | 2017 | 3 | |
| 14 | 2009 | 2 | |
| 15 | 2019 | 2 | |
| 16 | 2017 | 1 | |
| 17 | 2009 | 0 |
About Gerhard Meng
Gerhard Meng is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Cellular and Molecular Neuroscience and Genetics, having authored 17 papers that have together received 323 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (15 papers), Cardiomyopathy and Myosin Studies (8 papers), Neurogenetic and Muscular Disorders Research (6 papers), Genetic Neurodegenerative Diseases (3 papers), Animal Genetics and Reproduction (2 papers), Genomics and Rare Diseases (1 paper), Cardiovascular Effects of Exercise (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Genetics (60 citations), Cardiology and Cardiovascular Medicine (86 citations), Molecular Biology (253 citations), Cellular and Molecular Neuroscience (58 citations) and Genetics (80 citations). Gerhard Meng has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include T. Grimm, Wolfram Kreß, B. Müller, T. Bettecken, C R Müller, Sabina Liechti‐Gallati, Clemens R. Müller, C. R. Müller, Franz X. Glocker and Ralf Gold. Their work appears in journals such as Muscle & Nerve, Genomics, Journal of Medical Genetics, Biological Chemistry and Cardiology.
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.