Fabio Mohn
Impact in
- Molecular Biology top 2%
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Pluripotent Stem Cells Research
- RNA Interference and Gene Delivery
- Developmental Neuroscience top 5%
Papers in
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- Epigenetics and DNA Methylation 13
- Genomics and Chromatin Dynamics 8
- RNA Research and Splicing 4
- RNA Interference and Gene Delivery 2
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- MicroRNA in disease regulation 1
- Co-authors
- Dirk Schübeler (9 shared papers)Dominik Handler (3 shared papers)Julius Brennecke (3 shared papers)Tim-Christoph Roloff (4 shared papers)Michaël Weber (3 shared papers)Michael Beda Stadler (3 shared papers)Marc Bühler (10 shared papers)Michael Rebhan (2 shared papers)
- Journals
- Nature Structural & Molecular Biology (3 papers)Molecular Cell (3 papers)Nature (2 papers)Cell (2 papers)RNA (2 papers)
- Partner nations
- SwitzerlandAustriaUnited States
In The Last Decade
Fabio Mohn
23 papers receiving 3.6k citations
Fabio Mohn's Hit Papers
Peers
Comparison fields: 5 of 92
- Molecular Biology 2.8k
- Developmental Neuroscience 98
- Cancer Research 325
- Plant Science 665
- Genetics 239
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 23 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 | 722 |
| 2 | 2008 | 397 | |
| 3 | 2011 | 305 | |
| 4 | 2014 | 294 | |
| 5 | 2015 | 288 | |
| 6 | 2009 | 242 | |
| 7 | 2006 | 217 | |
| 8 | 2008 | 198 | |
| 9 | 2008 | 190 | |
| 10 | 2018 | 146 | |
| 11 | 2014 | 116 | |
| 12 | 2016 | 115 | |
| 13 | 2009 | 113 | |
| 14 | 2019 | 104 | |
| 15 | 2011 | 103 | |
| 16 | 2005 | 58 | |
| 17 | 2018 | 26 | |
| 18 | 2004 | 20 | |
| 19 | 2019 | 17 | |
| 20 | 2008 | 6 |
About Fabio Mohn
Fabio Mohn is a scholar working on Molecular Biology, Cancer Research, Plant Science, Genetics and Nuclear Energy and Engineering, having authored 23 papers that have together received 3.7k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (13 papers), Genomics and Chromatin Dynamics (8 papers), RNA Research and Splicing (4 papers), Chromosomal and Genetic Variations (3 papers), RNA Interference and Gene Delivery (2 papers), Plant Molecular Biology Research (2 papers), Genetics and Neurodevelopmental Disorders (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Molecular Biology (2.8k citations), Developmental Neuroscience (98 citations), Cancer Research (325 citations), Plant Science (665 citations) and Genetics (239 citations). Fabio Mohn has collaborated with scholars based in Switzerland, Austria and United States. Frequent co-authors include Dirk Schübeler, Dominik Handler, Julius Brennecke, Tim-Christoph Roloff, Michaël Weber, Michael Beda Stadler, Marc Bühler, Michael Rebhan, Miriam Bibel and Grzegorz Sienski. Their work appears in journals such as Nature Structural & Molecular Biology, Molecular Cell, Nature, Cell 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.