Marc Friedli
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Infectious Diseases top 5%
- HIV/AIDS drug development and treatment
Papers in
-
- CRISPR and Genetic Engineering 6
- Genomics and Chromatin Dynamics 4
- Pluripotent Stem Cells Research 3
- Renal and related cancers 3
- Ion channel regulation and function 2
- RNA modifications and cancer 2
-
- Chromosomal and Genetic Variations 7
- Co-authors
- Didier Trono (10 shared papers)Priscilla Turelli (3 shared papers)Bastien Mangeat (2 shared papers)Luc Perrin (1 shared paper)Gersende Caron (1 shared paper)Adamandia Kapopoulou (2 shared papers)Gabriela Ecco (2 shared papers)Helen M. Rowe (2 shared papers)
- Journals
- PLoS ONE (2 papers)Gene (1 paper)Annual Review of Cell and Developmental Biology (1 paper)Hepatology (1 paper)Molecular Pharmacology (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Marc Friedli
16 papers receiving 2.2k citations
Marc Friedli's Hit Papers
Peers
Comparison fields: 5 of 81
- Virology 840
- Infectious Diseases 464
- Immunology 395
- Molecular Biology 1.2k
- Epidemiology 402
Countries citing papers authored by Marc Friedli
This map shows the geographic impact of Marc Friedli'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 Marc Friedli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Friedli more than expected).
Fields of papers citing papers by Marc Friedli
This network shows the impact of papers produced by Marc Friedli. 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 Marc Friedli. The network helps show where Marc Friedli may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Friedli, 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 | Broad antiretroviral defence by human APOBEC3G through lethal editing of nascent reverse transcripts Hit paper breakdown → | 2003 | 1199 |
| 2 | 2015 | 191 | |
| 3 | 2014 | 162 | |
| 4 | 2013 | 134 | |
| 5 | 2011 | 114 | |
| 6 | 2014 | 77 | |
| 7 | 2009 | 74 | |
| 8 | 2008 | 55 | |
| 9 | 2001 | 33 | |
| 10 | 2003 | 32 | |
| 11 | 2018 | 25 | |
| 12 | 2010 | 23 | |
| 13 | 2015 | 23 | |
| 14 | 2008 | 20 | |
| 15 | 2011 | 13 | |
| 16 | 2016 | 1 |
About Marc Friedli
Marc Friedli is a scholar working on Molecular Biology, Plant Science, Genetics, Cellular and Molecular Neuroscience and Surgery, having authored 16 papers that have together received 2.2k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (7 papers), CRISPR and Genetic Engineering (6 papers), Genomics and Chromatin Dynamics (4 papers), Pluripotent Stem Cells Research (3 papers), Renal and related cancers (3 papers), Ion channel regulation and function (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Virology (840 citations), Infectious Diseases (464 citations), Immunology (395 citations), Molecular Biology (1.2k citations) and Epidemiology (402 citations). Marc Friedli has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Didier Trono, Priscilla Turelli, Bastien Mangeat, Luc Perrin, Gersende Caron, Adamandia Kapopoulou, Gabriela Ecco, Helen M. Rowe, Stylianos E. Antonarakis and Sonia Verp. Their work appears in journals such as PLoS ONE, Gene, Annual Review of Cell and Developmental Biology, Hepatology and Molecular Pharmacology.
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.