Felix Jonas
Impact in
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- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Fungal and yeast genetics research
- Protein Structure and Dynamics
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- SARS-CoV-2 and COVID-19 Research
Papers in
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- Genomics and Chromatin Dynamics 14
- RNA Research and Splicing 10
- Fungal and yeast genetics research 8
- RNA and protein synthesis mechanisms 5
- DNA Repair Mechanisms 3
- Epigenetics and DNA Methylation 3
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- Endoplasmic Reticulum Stress and Disease 2
- Co-authors
- Naama Barkai (20 shared papers)Daiwen Chen (1 shared paper)Miri Carmi (7 shared papers)Sagie Brodsky (5 shared papers)Moshe Kafri (1 shared paper)Gilad Yaakov (7 shared papers)Eyal Metzl-Raz (1 shared paper)Ilya Soifer (1 shared paper)
- Journals
- Nucleic Acids Research (5 papers)Molecular Cell (2 papers)Nature Biotechnology (2 papers)Genome Research (2 papers)Protein & Cell (1 paper)
- Partner nations
- IsraelGermanyUnited Kingdom
In The Last Decade
Felix Jonas
22 papers receiving 279 citations
Peers
Comparison fields: 5 of 54
- Molecular Biology 228
- Infectious Diseases 51
- Aging 4
- Cell Biology 35
- Computational Theory and Mathematics 33
Countries citing papers authored by Felix Jonas
This map shows the geographic impact of Felix Jonas'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 Felix Jonas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felix Jonas more than expected).
Fields of papers citing papers by Felix Jonas
This network shows the impact of papers produced by Felix Jonas. 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 Felix Jonas. The network helps show where Felix Jonas may publish in the future.
Co-authors
The 25 scholars most cited alongside Felix Jonas, 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 | 2010 | 56 | |
| 2 | 2017 | 35 | |
| 3 | 2016 | 32 | |
| 4 | 2023 | 31 | |
| 5 | 2023 | 21 | |
| 6 | 2025 | 15 | |
| 7 | 2021 | 15 | |
| 8 | 2023 | 13 | |
| 9 | 2021 | 12 | |
| 10 | 2018 | 9 | |
| 11 | 2021 | 6 | |
| 12 | 2024 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2018 | 2 | |
| 20 | 2024 | 2 |
About Felix Jonas
Felix Jonas is a scholar working on Molecular Biology, Cell Biology, Plant Science, Infectious Diseases and Epidemiology, having authored 23 papers that have together received 281 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (14 papers), RNA Research and Splicing (10 papers), Fungal and yeast genetics research (8 papers), RNA and protein synthesis mechanisms (5 papers), DNA Repair Mechanisms (3 papers), Epigenetics and DNA Methylation (3 papers), Plant Molecular Biology Research (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Molecular Biology (228 citations), Infectious Diseases (51 citations), Aging (4 citations), Cell Biology (35 citations) and Computational Theory and Mathematics (33 citations). Felix Jonas has collaborated with scholars based in Israel, Germany and United Kingdom. Frequent co-authors include Naama Barkai, Daiwen Chen, Miri Carmi, Sagie Brodsky, Moshe Kafri, Gilad Yaakov, Eyal Metzl-Raz, Ilya Soifer, Josepmaria Argemí and Tomás Aragón. Their work appears in journals such as Nucleic Acids Research, Molecular Cell, Nature Biotechnology, Genome Research and Protein & 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.