Jörg T. Epplen
- Genetics top 0.1%
- Cellular and Molecular Neuroscience top 0.5%
- Genetic Neurodegenerative Diseases 61
- Immunology top 0.5%
- T-cell and B-cell Immunology 50
- Developmental Biology top 1%
- Neurology top 0.5%
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- Animal Behavior and Reproduction 38
- Plant and animal studies 29
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- RNA and protein synthesis mechanisms 37
- Mitochondrial Function and Pathology 37
- RNA Research and Splicing 24
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- Chromosomal and Genetic Variations 34
- Co-authors
- Larissa ArningLüdger SchölsStefan WieczorekH. PrzuntekThomas LubjuhnSabine HoffjanMichael SchmidHans Zischler
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Jörg T. Epplen
550 papers receiving 16.7k citations
Peers
Comparison fields: 5 of 168
- Genetics 4.9k
- Cellular and Molecular Neuroscience 2.9k
- Immunology 3.0k
- Developmental Biology 281
- Neurology 1.6k
Countries citing papers authored by Jörg T. Epplen
This map shows the geographic impact of Jörg T. Epplen'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 Jörg T. Epplen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jörg T. Epplen more than expected).
Fields of papers citing papers by Jörg T. Epplen
This network shows the impact of papers produced by Jörg T. Epplen. 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 Jörg T. Epplen. The network helps show where Jörg T. Epplen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jörg T. Epplen, 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 | 2025 | 0 | |
| 2 | 2019 | 7 | |
| 3 | 2018 | 8 | |
| 4 | 2015 | 4 | |
| 5 | Numerical and structural chromosomal anomalies in undifferentiated pleomorphic sarcoma. | 2014 | 4 |
| 6 | 2014 | 58 | |
| 7 | 2014 | 35 | |
| 8 | 2011 | 32 | |
| 9 | 2009 | 63 | |
| 10 | 2007 | 71 | |
| 11 | 2006 | 15 | |
| 12 | 2005 | 41 | |
| 13 | Respiratory insufficiency as a presenting symptom of LGMD2D in adulthood. | 2004 | 13 |
| 14 | 2004 | 59 | |
| 15 | 1995 | 152 | |
| 16 | 1994 | 8 | |
| 17 | 1993 | 11 | |
| 18 | 1993 | 9 | |
| 19 | 1991 | 9 | |
| 20 | 1975 | 97 |
About Jörg T. Epplen
Jörg T. Epplen is a scholar working on Genetics, Cellular and Molecular Neuroscience and Immunology, having authored 559 papers that have together received 17.4k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (61 papers), T-cell and B-cell Immunology (50 papers), Animal Behavior and Reproduction (38 papers), RNA and protein synthesis mechanisms (37 papers), Mitochondrial Function and Pathology (37 papers), Chromosomal and Genetic Variations (34 papers), Plant and animal studies (29 papers) and RNA Research and Splicing (24 papers). The work is most often cited by research in Genetics (4.9k citations), Cellular and Molecular Neuroscience (2.9k citations) and Immunology (3.0k citations). Jörg T. Epplen has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Larissa Arning, Lüdger Schöls, Stefan Wieczorek, H. Przuntek, Thomas Lubjuhn, Sabine Hoffjan, Michael Schmid, Hans Zischler, Cornelia Epplen and Olaf Rieß. Their work appears in journals such as Human Genetics, Electrophoresis, Molecular Ecology, Genes and Immunity and Journal of Molecular Medicine.
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.