Daniel N. Wilson

18.2k citations
181 papers · 12.6k indexed · 2 hit papers · h-index 68

Impact in

Papers in

    • Antimicrobial Peptides and Activities 21
    • Bacterial Genetics and Biotechnology 71

Daniel N. Wilson

177 papers receiving 12.4k citations

Hit Papers

Structures of the human and Drosophila 80S ribosome 2013 · 448 citations
4482013202620172021200400600

Peers

Daniel N. Wilson
Comparison fields: 5 of 146
  • Molecular Medicine 1.2k
  • Microbiology 1.2k
  • Structural Biology 230
  • Molecular Biology 10.5k
  • Genetics 2.9k
Replace Richard H. Ebright with:
Richard H. Ebright United States
Joe Pogliano United States
Seth A. Darst United States
N.C.J. Strynadka Canada
Trevor Lithgow Australia
Alexander S. Mankin United States
Anthony Maxwell United Kingdom
Jeff Errington United Kingdom
Daniel Kahne United States
Katsuhiko Murakami United States
Daniel N. Wilson relative to Richard H. Ebright United States Richard H. Ebright's profile →
Citations per field
00.5×2.7×
Richard H. Ebright · 1×
Citations per year

Countries citing papers authored by Daniel N. Wilson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel N. Wilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 202410
3 20244
4 20242
5 202319
6 202241
7 202212
8 2021104
9 202122
10 202137
11 202158
12 202024
13 202050
14 20191
15 201916
16 20183
17 201813
18 2017133
19 2013123
20 2012357

About Daniel N. Wilson

Daniel N. Wilson is a scholar working on Microbiology, Genetics, Molecular Biology, Molecular Medicine and Ecology, having authored 181 papers that have together received 12.6k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (155 papers), RNA modifications and cancer (91 papers), Bacterial Genetics and Biotechnology (71 papers), Bacteriophages and microbial interactions (29 papers), Antimicrobial Peptides and Activities (21 papers), RNA Research and Splicing (20 papers), Genomics and Phylogenetic Studies (14 papers) and Antibiotic Resistance in Bacteria (12 papers). The work is most often cited by research in Molecular Medicine (1.2k citations), Microbiology (1.2k citations), Structural Biology (230 citations), Molecular Biology (10.5k citations) and Genetics (2.9k citations). Daniel N. Wilson has collaborated with scholars based in Germany, United States and Estonia. Frequent co-authors include Roland Beckmann, Agata L. Starosta, Knud H. Nierhaus, Stefan Arenz, Otto Berninghausen, Paola Fucini, Jürgen Lassak, Kirsten Jung, Michael Graf and J.H.D. Cate. Their work appears in journals such as Nucleic Acids Research, Proceedings of the National Academy of Sciences, Nature Communications, Molecular Cell and Nature Structural & Molecular 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.

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