Daniel Schümperli
- Virology top 2%
- Genetics top 2%
- Neurogenetic and Muscular Disorders Research 16
- Virus-based gene therapy research 7
- Molecular Biology top 2%
- RNA Research and Splicing 44
- RNA modifications and cancer 40
- RNA and protein synthesis mechanisms 33
- RNA Interference and Gene Delivery 14
- Genomics and Chromatin Dynamics 8
- Advanced biosensing and bioanalysis techniques 7
- Aging top 5%
- Genetics top 5%
- Neurogenetic and Muscular Disorders Research 16
- Virus-based gene therapy research 7
- Co-authors
- Martin RosenbergBernhard LüscherDominique Soldati‐FavreClaudia StauberBerndt MüllerKeith McKenneyKathrin MeyerDonna A. Sobieski
- Cited by
- VirologyGeneticsMolecular Biology
- Journals
- Nucleic Acids Research (9 papers)Molecular and Cellular Biology (6 papers)Journal of General Virology (5 papers)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Daniel Schümperli
89 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 104
- Virology 258
- Genetics 535
- Molecular Biology 3.4k
- Aging 50
- Genetics 690
Countries citing papers authored by Daniel Schümperli
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 22 | |
| 2 | 2016 | 41 | |
| 3 | 2016 | 39 | |
| 4 | 2015 | 19 | |
| 5 | 2014 | 21 | |
| 6 | 2012 | 4 | |
| 7 | 2010 | 12 | |
| 8 | 2010 | 43 | |
| 9 | 2010 | 60 | |
| 10 | 2009 | 50 | |
| 11 | 2008 | 17 | |
| 12 | 2005 | 58 | |
| 13 | 1997 | 8 | |
| 14 | 1996 | 6 | |
| 15 | 1994 | 75 | |
| 16 | 1993 | 57 | |
| 17 | 1991 | 204 | |
| 18 | 1990 | 7 | |
| 19 | 1989 | 33 | |
| 20 | 1988 | 65 |
About Daniel Schümperli
Daniel Schümperli is a scholar working on Genetics, Virology, Molecular Biology, Aging and Genetics, having authored 90 papers that have together received 4.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (44 papers), RNA modifications and cancer (40 papers), RNA and protein synthesis mechanisms (33 papers), Neurogenetic and Muscular Disorders Research (16 papers), RNA Interference and Gene Delivery (14 papers), Genomics and Chromatin Dynamics (8 papers), Virus-based gene therapy research (7 papers) and Advanced biosensing and bioanalysis techniques (7 papers). The work is most often cited by research in Virology (258 citations), Genetics (535 citations), Molecular Biology (3.4k citations), Aging (50 citations) and Genetics (690 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, Journal of General Virology, Proceedings of the National Academy of Sciences and RNA.
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.