Federico Comoglio
Impact in
- Aging top 10%
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Cancer-related gene regulation
- CRISPR and Genetic Engineering
Papers in
-
- Genomics and Chromatin Dynamics 12
- RNA Research and Splicing 8
- RNA and protein synthesis mechanisms 5
- Epigenetics and DNA Methylation 4
- RNA modifications and cancer 3
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- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Co-authors
- Renato Paro (10 shared papers)Makiko Seimiya (3 shared papers)Bas van Steensel (5 shared papers)Christian Beisel (2 shared papers)Remo Rohs (2 shared papers)Cem Sievers (3 shared papers)Maurizio Rinaldi (4 shared papers)Ludo Pagie (2 shared papers)
- Journals
- PLoS ONE (3 papers)Proceedings of the National Academy of Sciences (3 papers)Cell Reports (2 papers)Bioinformatics (2 papers)eLife (2 papers)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Federico Comoglio
26 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 94
- Aging 25
- Molecular Biology 960
- Cancer Research 130
- Immunology 129
- Genetics 169
Countries citing papers authored by Federico Comoglio
This map shows the geographic impact of Federico Comoglio'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 Federico Comoglio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Comoglio more than expected).
Fields of papers citing papers by Federico Comoglio
This network shows the impact of papers produced by Federico Comoglio. 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 Federico Comoglio. The network helps show where Federico Comoglio may publish in the future.
Co-authors
The 25 scholars most cited alongside Federico Comoglio, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 200 | |
| 2 | 2009 | 134 | |
| 3 | 2019 | 125 | |
| 4 | 2015 | 109 | |
| 5 | 2019 | 103 | |
| 6 | 2015 | 96 | |
| 7 | 2017 | 77 | |
| 8 | 2012 | 69 | |
| 9 | 2015 | 62 | |
| 10 | 2022 | 57 | |
| 11 | 2020 | 51 | |
| 12 | 2016 | 34 | |
| 13 | 2018 | 33 | |
| 14 | 2019 | 29 | |
| 15 | 2015 | 23 | |
| 16 | 2017 | 20 | |
| 17 | 2016 | 19 | |
| 18 | 2013 | 14 | |
| 19 | 2014 | 14 | |
| 20 | 2014 | 12 |
About Federico Comoglio
Federico Comoglio is a scholar working on Molecular Biology, Immunology, Plant Science, Cell Biology and Pathology and Forensic Medicine, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (12 papers), RNA Research and Splicing (8 papers), RNA and protein synthesis mechanisms (5 papers), Epigenetics and DNA Methylation (4 papers), Chromosomal and Genetic Variations (3 papers), RNA modifications and cancer (3 papers), T-cell and B-cell Immunology (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Aging (25 citations), Molecular Biology (960 citations), Cancer Research (130 citations), Immunology (129 citations) and Genetics (169 citations). Federico Comoglio has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Renato Paro, Makiko Seimiya, Bas van Steensel, Christian Beisel, Remo Rohs, Cem Sievers, Maurizio Rinaldi, Ludo Pagie, Ruedi Aebersold and Moritz Gerstung. Their work appears in journals such as PLoS ONE, Proceedings of the National Academy of Sciences, Cell Reports, Bioinformatics and eLife.
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.