Dan Röhme
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 10%
- Telomeres, Telomerase, and Senescence
Papers in
-
- Genomics and Chromatin Dynamics 6
- Molecular Biology Techniques and Applications 3
- Genetics 10
- Genomic variations and chromosomal abnormalities 6
- Co-authors
- Jan‐Erik Edström (2 shared papers)Anna‐Maria Frischauf (1 shared paper)Hans Lehrach (2 shared papers)Lee M. Silver (1 shared paper)Bernhard G. Herrmann (1 shared paper)Paul E. Mains (1 shared paper)Howard S. Fox (1 shared paper)Mattias Höglund (3 shared papers)
- Journals
- Genes Chromosomes and Cancer (4 papers)Hereditas (3 papers)Mammalian Genome (2 papers)Gene (1 paper)Cell (1 paper)
- Partner nations
- SwedenUnited StatesUnited Kingdom
In The Last Decade
Dan Röhme
26 papers receiving 508 citations
Peers
Comparison fields: 5 of 74
- Aging 114
- Physiology 193
- Genetics 162
- Molecular Biology 349
- Endocrine and Autonomic Systems 14
Countries citing papers authored by Dan Röhme
This map shows the geographic impact of Dan Röhme'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 Dan Röhme with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Röhme more than expected).
Fields of papers citing papers by Dan Röhme
This network shows the impact of papers produced by Dan Röhme. 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 Dan Röhme. The network helps show where Dan Röhme may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Röhme, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1981 | 277 | |
| 2 | 1984 | 159 | |
| 3 | 1987 | 18 | |
| 4 | 1990 | 11 | |
| 5 | 1992 | 10 | |
| 6 | 2002 | 7 | |
| 7 | 1980 | 7 | |
| 8 | 2002 | 6 | |
| 9 | 2008 | 6 | |
| 10 | 2005 | 5 | |
| 11 | 1981 | 5 | |
| 12 | 1997 | 5 | |
| 13 | 2009 | 4 | |
| 14 | 1994 | 3 | |
| 15 | 1979 | 3 | |
| 16 | 2009 | 3 | |
| 17 | 1988 | 3 | |
| 18 | 1998 | 3 | |
| 19 | 1997 | 2 | |
| 20 | 1998 | 2 |
About Dan Röhme
Dan Röhme is a scholar working on Molecular Biology, Genetics, Plant Science, Ecology and Oncology, having authored 26 papers that have together received 545 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (8 papers), Genomic variations and chromosomal abnormalities (6 papers), Genomics and Chromatin Dynamics (6 papers), Plant Virus Research Studies (4 papers), Cancer Genomics and Diagnostics (3 papers), Cancer-related Molecular Pathways (3 papers), Molecular Biology Techniques and Applications (3 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Aging (114 citations), Physiology (193 citations), Genetics (162 citations), Molecular Biology (349 citations) and Endocrine and Autonomic Systems (14 citations). Dan Röhme has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Jan‐Erik Edström, Anna‐Maria Frischauf, Hans Lehrach, Lee M. Silver, Bernhard G. Herrmann, Paul E. Mains, Howard S. Fox, Mattias Höglund, Rolf Kaiser and Göran Levan. Their work appears in journals such as Genes Chromosomes and Cancer, Hereditas, Mammalian Genome, Gene and Cell.
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.