Fabio Mohn
Impact in
- Molecular Biology top 2%
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- CRISPR and Genetic Engineering
- RNA Research and Splicing
- Cancer-related gene regulation
- Pluripotent Stem Cells Research
- Cancer Research top 5%
Papers in
-
- Epigenetics and DNA Methylation 11
- Genomics and Chromatin Dynamics 11
- RNA modifications and cancer 8
- RNA Research and Splicing 8
- RNA and protein synthesis mechanisms 8
- CRISPR and Genetic Engineering 5
- Pluripotent Stem Cells Research 4
-
- Chromosomal and Genetic Variations 5
- Co-authors
- Dirk Schübeler (9 shared papers)Julius Brennecke (3 shared papers)Dominik Handler (3 shared papers)Michaël Weber (3 shared papers)Marc Bühler (12 shared papers)Michael Stadler (3 shared papers)Tim Roloff (3 shared papers)Miriam Bibel (2 shared papers)
- Journals
- Nature Structural & Molecular Biology (3 papers)Molecular Cell (3 papers)Genes & Development (2 papers)Nature (2 papers)Cell (2 papers)
- Partner nations
- SwitzerlandUnited StatesAustria
In The Last Decade
Fabio Mohn
26 papers receiving 3.8k citations
Fabio Mohn's Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 3.3k
- Cancer Research 404
- Plant Science 831
- Genetics 587
- Aging 35
Countries citing papers authored by Fabio Mohn
This map shows the geographic impact of Fabio Mohn'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 Fabio Mohn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Mohn more than expected).
Fields of papers citing papers by Fabio Mohn
This network shows the impact of papers produced by Fabio Mohn. 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 Fabio Mohn. The network helps show where Fabio Mohn may publish in the future.
Co-authors
The 25 scholars most cited alongside Fabio Mohn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Lineage-Specific Polycomb Targets and De Novo DNA Methylation Define Restriction and Potential of Neuronal Progenitors Hit paper breakdown → | 2008 | 735 |
| 2 | 2008 | 394 | |
| 3 | 2014 | 295 | |
| 4 | 2011 | 295 | |
| 5 | 2015 | 284 | |
| 6 | 2009 | 241 | |
| 7 | 2006 | 209 | |
| 8 | 2008 | 199 | |
| 9 | 2008 | 193 | |
| 10 | 2018 | 134 | |
| 11 | 2008 | 132 | |
| 12 | 2016 | 114 | |
| 13 | 2009 | 114 | |
| 14 | 2014 | 112 | |
| 15 | 2011 | 108 | |
| 16 | 2019 | 101 | |
| 17 | 2005 | 58 | |
| 18 | 2016 | 50 | |
| 19 | 2018 | 28 | |
| 20 | 2004 | 20 |
About Fabio Mohn
Fabio Mohn is a scholar working on Molecular Biology, Plant Science, Genetics, Cancer Research and Immunology, having authored 26 papers that have together received 3.8k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (11 papers), Genomics and Chromatin Dynamics (11 papers), RNA modifications and cancer (8 papers), RNA Research and Splicing (8 papers), RNA and protein synthesis mechanisms (8 papers), Chromosomal and Genetic Variations (5 papers), CRISPR and Genetic Engineering (5 papers) and Pluripotent Stem Cells Research (4 papers). The work is most often cited by research in Molecular Biology (3.3k citations), Cancer Research (404 citations), Plant Science (831 citations), Genetics (587 citations) and Aging (35 citations). Fabio Mohn has collaborated with scholars based in Switzerland, United States and Austria. Frequent co-authors include Dirk Schübeler, Julius Brennecke, Dominik Handler, Michaël Weber, Marc Bühler, Michael Stadler, Tim Roloff, Miriam Bibel, Michael Rebhan and Jens Richter. Their work appears in journals such as Nature Structural & Molecular Biology, Molecular Cell, Genes & Development, Nature and Cell.
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.