Roland Dosch
Impact in
- Molecular Biology top 5%
- Developmental Biology and Gene Regulation
- TGF-β signaling in diseases
- Congenital heart defects research
- Pluripotent Stem Cells Research
- RNA Research and Splicing
- Physiology top 2%
Papers in
-
- Developmental Biology and Gene Regulation 10
- RNA Research and Splicing 5
- Pluripotent Stem Cells Research 5
- TGF-β signaling in diseases 3
- Genomics and Chromatin Dynamics 3
- Cell Biology 10
- Zebrafish Biomedical Research Applications 10
- Co-authors
- Christof Niehrs (5 shared papers)Volker Gawantka (3 shared papers)Hajo Delius (3 shared papers)Mary C. Mullins (8 shared papers)Daria Onichtchouk (3 shared papers)Daniel S. Wagner (6 shared papers)Claudia Blumenstock (2 shared papers)Ye-Guang Chen (1 shared paper)
- Journals
- PLoS Genetics (3 papers)Development (3 papers)Developmental Cell (3 papers)Scientific Reports (2 papers)Developmental Biology (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Roland Dosch
31 papers receiving 2.5k citations
Roland Dosch's Hit Papers
Peers
Comparison fields: 5 of 103
- Molecular Biology 2.0k
- Physiology 130
- Cell Biology 461
- Genetics 440
- Aging 27
Countries citing papers authored by Roland Dosch
This map shows the geographic impact of Roland Dosch'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 Roland Dosch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roland Dosch more than expected).
Fields of papers citing papers by Roland Dosch
This network shows the impact of papers produced by Roland Dosch. 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 Roland Dosch. The network helps show where Roland Dosch may publish in the future.
Co-authors
The 25 scholars most cited alongside Roland Dosch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Silencing of TGF-β signalling by the pseudoreceptor BAMBI Hit paper breakdown → | 1999 | 584 |
| 2 | 1997 | 283 | |
| 3 | 2001 | 258 | |
| 4 | 1996 | 245 | |
| 5 | 2004 | 192 | |
| 6 | 2009 | 178 | |
| 7 | 1995 | 172 | |
| 8 | 2004 | 115 | |
| 9 | 2005 | 82 | |
| 10 | 2018 | 65 | |
| 11 | 2000 | 55 | |
| 12 | 2007 | 51 | |
| 13 | 2009 | 44 | |
| 14 | 2005 | 40 | |
| 15 | 2018 | 36 | |
| 16 | 2015 | 33 | |
| 17 | 2014 | 28 | |
| 18 | 2014 | 21 | |
| 19 | 2010 | 18 | |
| 20 | 2020 | 6 |
About Roland Dosch
Roland Dosch is a scholar working on Molecular Biology, Cell Biology, Genetics, Cellular and Molecular Neuroscience and Neurology, having authored 33 papers that have together received 2.5k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (10 papers), Developmental Biology and Gene Regulation (10 papers), Animal Genetics and Reproduction (6 papers), RNA Research and Splicing (5 papers), Pluripotent Stem Cells Research (5 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), TGF-β signaling in diseases (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Physiology (130 citations), Cell Biology (461 citations), Genetics (440 citations) and Aging (27 citations). Roland Dosch has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Christof Niehrs, Volker Gawantka, Hajo Delius, Mary C. Mullins, Daria Onichtchouk, Daniel S. Wagner, Claudia Blumenstock, Ye-Guang Chen, Joan Massagué and Anthony P. Wiemelt. Their work appears in journals such as PLoS Genetics, Development, Developmental Cell, Scientific Reports and Developmental Biology.
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.