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 4
- Pluripotent Stem Cells Research 3
- Genomics and Chromatin Dynamics 3
- RNA modifications and cancer 2
- Ion channel regulation and function 2
- Renal and related cancers 2
-
- Chromosomal and Genetic Variations 5
- Co-authors
- Didier Trono (7 shared papers)Gersende Caron (1 shared paper)Bastien Mangeat (1 shared paper)Luc H. Perrin (1 shared paper)Priscilla Turelli (1 shared paper)Sonia Verp (3 shared papers)Tugce Uslu Aktas (1 shared paper)Helen M. Rowe (1 shared paper)
- Journals
- PLoS ONE (2 papers)Cell stem cell (1 paper)Development (1 paper)Molecular Pharmacology (1 paper)Annual Review of Cell and Developmental Biology (1 paper)
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Marc Friedli
15 papers receiving 2.4k citations
Marc Friedli's Hit Papers
Peers
Comparison fields: 5 of 82
- Virology 866
- Infectious Diseases 479
- Molecular Biology 1.4k
- Immunology 395
- Epidemiology 415
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 | 1241 |
| 2 | 2016 | 402 | |
| 3 | 2015 | 199 | |
| 4 | 2013 | 132 | |
| 5 | 2011 | 124 | |
| 6 | 2009 | 82 | |
| 7 | 2008 | 60 | |
| 8 | 2003 | 32 | |
| 9 | 2001 | 31 | |
| 10 | 2018 | 26 | |
| 11 | 2010 | 25 | |
| 12 | 2008 | 20 | |
| 13 | 2011 | 13 | |
| 14 | 2024 | 6 | |
| 15 | 2016 | 2 |
About Marc Friedli
Marc Friedli is a scholar working on Molecular Biology, Plant Science, Genetics, Cellular and Molecular Neuroscience and Developmental Biology, having authored 15 papers that have together received 2.4k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (5 papers), CRISPR and Genetic Engineering (4 papers), Pluripotent Stem Cells Research (3 papers), Genomics and Chromatin Dynamics (3 papers), RNA modifications and cancer (2 papers), Ion channel regulation and function (2 papers), Renal and related cancers (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Virology (866 citations), Infectious Diseases (479 citations), Molecular Biology (1.4k citations), Immunology (395 citations) and Epidemiology (415 citations). Marc Friedli has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Didier Trono, Gersende Caron, Bastien Mangeat, Luc H. Perrin, Priscilla Turelli, Sonia Verp, Tugce Uslu Aktas, Helen M. Rowe, Stylianos E. Antonarakis and Sandra Offner. Their work appears in journals such as PLoS ONE, Cell stem cell, Development, Molecular Pharmacology and Annual Review of Cell and Developmental 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.