Daniel Schümperli

4.8k citations
88 papers · 4.0k · h-index 39

Impact in

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

Papers in

    • RNA Research and Splicing 41
    • RNA modifications and cancer 36
    • RNA and protein synthesis mechanisms 32
    • RNA Interference and Gene Delivery 13
    • Advanced biosensing and bioanalysis techniques 7
    • Genomics and Chromatin Dynamics 6
    • Neurogenetic and Muscular Disorders Research 16

Daniel Schümperli

87 papers receiving 3.8k citations

Peers

Daniel Schümperli
Comparison fields: 5 of 101
  • Virology 265
  • Genetics 486
  • Molecular Biology 3.3k
  • Genetics 691
  • Aging 40
Replace Peter David Rathjen with:
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Daniel Schümperli relative to Peter David Rathjen Australia Peter David Rathjen's profile →
Citations per field
00.5×2×3×4.3×
Peter David Rathjen · 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 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982208
2 1991203
3 1986170
4 1984129
5 1985123
6 2014116
7 1988114
8 198799
9 199893
10 198488
11 199687
12 197786
13 197885
14 199385
15 199482
16 200877
17 198275
18 198373
19 200773
20 198871

About Daniel Schümperli

Daniel Schümperli is a scholar working on Molecular Biology, Genetics, Virology, Genetics and Ecology, having authored 88 papers that have together received 4.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (41 papers), RNA modifications and cancer (36 papers), RNA and protein synthesis mechanisms (32 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 (6 papers) and Bacteriophages and microbial interactions (6 papers). The work is most often cited by research in Virology (265 citations), Genetics (486 citations), Molecular Biology (3.3k citations), Genetics (691 citations) and Aging (40 citations). Daniel Schümperli has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Martin J. Rosenberg, Bernhard Lüscher, Dominique Soldati‐Favre, Claudia Stauber, Berndt Müller, Keith H. McKenney, Kathrin Meyer, Donna A. Sobieski, René Wyler and Ruth Böhni. Their work appears in journals such as Nucleic Acids Research, Molecular and Cellular Biology, Journal of General Virology, Proceedings of the National Academy of Sciences and The EMBO Journal.

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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