Daniel Schümperli

4.8k citations
90 papers · 4.2k · h-index 41

Impact in

  • Virology top 2%
  • Genetics top 2%
    • Neurogenetic and Muscular Disorders Research
    • Virus-based gene therapy research

Papers in

    • RNA Research and Splicing 42
    • RNA modifications and cancer 37
    • RNA and protein synthesis mechanisms 33
    • RNA Interference and Gene Delivery 13
    • Advanced biosensing and bioanalysis techniques 7
    • Genomics and Chromatin Dynamics 7
    • RNA regulation and disease 6
    • Neurogenetic and Muscular Disorders Research 16

Daniel Schümperli

90 papers receiving 4.0k citations

Peers

Daniel Schümperli
Comparison fields: 5 of 101
  • Virology 252
  • Genetics 524
  • Molecular Biology 3.4k
  • Genetics 673
  • Aging 43
Replace Claire Moore with:
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Daniel Schümperli relative to Claire Moore United States Claire Moore's profile →
Citations per field
00.5×3.7×
Claire Moore · 1×
Citations per year

Countries citing papers authored by Daniel Schümperli

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Schümperli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991204
2 1982200
3 1986174
4 2003172
5 1984126
6 1985121
7 1988109
8 2014105
9 1987102
10 199893
11 199386
12 197882
13 198480
14 199678
15 197777
16 200876
17 199475
18 198875
19 198670
20 198370

About Daniel Schümperli

Daniel Schümperli is a scholar working on Molecular Biology, Genetics, Genetics, Ecology and Virology, having authored 90 papers that have together received 4.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (42 papers), RNA modifications and cancer (37 papers), RNA and protein synthesis mechanisms (33 papers), Neurogenetic and Muscular Disorders Research (16 papers), RNA Interference and Gene Delivery (13 papers), Advanced biosensing and bioanalysis techniques (7 papers), Genomics and Chromatin Dynamics (7 papers) and RNA regulation and disease (6 papers). The work is most often cited by research in Virology (252 citations), Genetics (524 citations), Molecular Biology (3.4k citations), Genetics (673 citations) and Aging (43 citations). Daniel Schümperli has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Martin Rosenberg, Bernhard Lüscher, Dominique Soldati‐Favre, Claudia Stauber, Berndt Müller, Keith McKenney, Kathrin Meyer, Donna A. Sobieski, Ruth Böhni and R. Wyler. Their work appears in journals such as Nucleic Acids Research, Molecular and Cellular Biology, RNA, The EMBO Journal and Proceedings of the National Academy of Sciences.

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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