Daniel Sohmen

1.1k citations
11 papers · 796 · h-index 11

Impact in

Papers in

    • RNA and protein synthesis mechanisms 8
    • RNA modifications and cancer 5
    • Genomics and Phylogenetic Studies 2
    • Phosphodiesterase function and regulation 1
    • Bacterial Genetics and Biotechnology 7

Daniel Sohmen

11 papers receiving 782 citations

Peers

Daniel Sohmen
Comparison fields: 5 of 89
  • Molecular Medicine 157
  • Pollution 108
  • Applied Microbiology and Biotechnology 15
  • Microbiology 49
  • Genetics 205
Replace Ruggero La Rosa with:
Ruggero La Rosa Denmark
Erin L. Westman Canada
Réka Spohn Hungary
Gracia Morales Spain
Michael Knopp Sweden
Alfredo Castañeda-García Spain
Fabian Nguyen Germany
Declan A. Gray United Kingdom
Renate Albrecht Germany
Inga V. Leus United States
Daniel Sohmen relative to Ruggero La Rosa Denmark Ruggero La Rosa's profile →
Citations per field
00.5×3.9×
Ruggero La Rosa · 1×
Citations per year

Countries citing papers authored by Daniel Sohmen

Since Specialization
Citations

This map shows the geographic impact of Daniel Sohmen'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 Daniel Sohmen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Sohmen more than expected).

Fields of papers citing papers by Daniel Sohmen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Sohmen. 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 Daniel Sohmen. The network helps show where Daniel Sohmen may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Sohmen, 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 Daniel Sohmen Line = papers co-authored together Daniel Sohmen links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2014390
2 201697
3 201590
4 201771
5 201529
6 200928
7 201026
8 201019
9 201318
10 200916
11 201412

About Daniel Sohmen

Daniel Sohmen is a scholar working on Molecular Biology, Genetics, Ecology, Pharmacology and Pollution, having authored 11 papers that have together received 796 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), Bacterial Genetics and Biotechnology (7 papers), RNA modifications and cancer (5 papers), Genomics and Phylogenetic Studies (2 papers), Bacteriophages and microbial interactions (2 papers), Phosphodiesterase function and regulation (1 paper), Toxin Mechanisms and Immunotoxins (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Molecular Medicine (157 citations), Pollution (108 citations), Applied Microbiology and Biotechnology (15 citations), Microbiology (49 citations) and Genetics (205 citations). Daniel Sohmen has collaborated with scholars based in Germany, Sweden and Estonia. Frequent co-authors include Daniel N. Wilson, Stefan Arenz, Agata L. Starosta, Alexandra Dönhöfer, Fabian Nguyen, Roland Beckmann, Otto Berninghausen, Shinobu Chiba, Joerg Harms and Koreaki Ito. Their work appears in journals such as Cell, Nucleic Acids Research, eLife, Nature Communications and ChemMedChem.

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.

Explore authors with similar magnitude of impact