Dan Röhme

732 citations
26 papers · 546 · h-index 7

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
    • Genomic variations and chromosomal abnormalities 6

Dan Röhme

26 papers receiving 509 citations

Peers

Dan Röhme
Comparison fields: 5 of 74
  • Aging 118
  • Physiology 198
  • Genetics 163
  • Molecular Biology 356
  • Endocrine and Autonomic Systems 14
Replace Héra Der‐Sarkissian with:
Héra Der‐Sarkissian France
Nisha Narayan Australia
Mintie Pu United States
Louis F. Marek United States
Ryan C. Thompson United States
Gregory D Hurlbut United States
Andrew P. Salinger United States
Carl A. Mitchell United States
Jan Fröhlich Czechia
Nobuko Katoku-Kikyo United States
Dan Röhme relative to Héra Der‐Sarkissian France Héra Der‐Sarkissian's profile →
Citations per field
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Héra Der‐Sarkissian · 1×
Citations per year

Countries citing papers authored by Dan Röhme

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dan Röhme Line = papers co-authored together Dan Röhme links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981278
2 1984159
3 198718
4 199011
5 199210
6 20027
7 19807
8 20086
9 20026
10 20055
11 19975
12 19815
13 20094
14 20093
15 19943
16 19983
17 19883
18 19793
19 19972
20 19982

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 546 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (8 papers), Genomics and Chromatin Dynamics (6 papers), Genomic variations and chromosomal abnormalities (6 papers), Plant Virus Research Studies (4 papers), Bacteriophages and microbial interactions (3 papers), Molecular Biology Techniques and Applications (3 papers), Cancer Genomics and Diagnostics (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Aging (118 citations), Physiology (198 citations), Genetics (163 citations), Molecular Biology (356 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, Lee M. Silver, Howard S. Fox, Anna‐Maria Frischauf, Bernhard G. Herrmann, Hans Lehrach, Paul E. Mains, Mattias Höglund, Rolf Kaiser and Göran Levan. Their work appears in journals such as Genes Chromosomes and Cancer, Hereditas, Mammalian Genome, Gene and Journal of Molecular Evolution.

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.

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