Michael Aregger
Impact in
- Aging top 5%
- Endocrinology top 5%
- Plant and Fungal Interactions Research
Papers in
-
- CRISPR and Genetic Engineering 9
- RNA and protein synthesis mechanisms 5
- Cancer-related gene regulation 4
- RNA Research and Splicing 4
- RNA modifications and cancer 4
- Pluripotent Stem Cells Research 2
- Single-cell and spatial transcriptomics 2
- Co-authors
- Jason Moffat (11 shared papers)Kevin R. Brown (4 shared papers)Megha Chandrashekhar (3 shared papers)Patricia Mero (2 shared papers)Peter B. Dirks (1 shared paper)Daniel Durocher (1 shared paper)Zachary Steinhart (1 shared paper)Michal Zimmermann (1 shared paper)
- Journals
- Molecular Cell (3 papers)Nature Protocols (2 papers)Molecular Systems Biology (2 papers)Nucleic Acids Research (2 papers)PLoS Pathogens (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Michael Aregger
21 papers receiving 1.8k citations
Michael Aregger's Hit Papers
Peers
Comparison fields: 5 of 86
- Aging 53
- Endocrinology 109
- Molecular Biology 1.4k
- Horticulture 16
- Business and International Management 27
Countries citing papers authored by Michael Aregger
This map shows the geographic impact of Michael Aregger'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 Michael Aregger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Aregger more than expected).
Fields of papers citing papers by Michael Aregger
This network shows the impact of papers produced by Michael Aregger. 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 Michael Aregger. The network helps show where Michael Aregger may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Aregger, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | High-Resolution CRISPR Screens Reveal Fitness Genes and Genotype-Specific Cancer Liabilities Hit paper breakdown → | 2015 | 1037 |
| 2 | 2011 | 141 | |
| 3 | 2012 | 137 | |
| 4 | 2020 | 106 | |
| 5 | 2018 | 90 | |
| 6 | 2012 | 52 | |
| 7 | 2016 | 50 | |
| 8 | 2013 | 28 | |
| 9 | 2021 | 27 | |
| 10 | 2018 | 18 | |
| 11 | 2016 | 17 | |
| 12 | 2021 | 15 | |
| 13 | 2012 | 13 | |
| 14 | 2021 | 12 | |
| 15 | 2024 | 12 | |
| 16 | 2023 | 10 | |
| 17 | 2021 | 10 | |
| 18 | 2022 | 7 | |
| 19 | 2023 | 5 | |
| 20 | 2015 | 2 |
About Michael Aregger
Michael Aregger is a scholar working on Molecular Biology, Plant Science, Genetics, Aging and Infectious Diseases, having authored 22 papers that have together received 1.8k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (9 papers), RNA and protein synthesis mechanisms (5 papers), Cancer-related gene regulation (4 papers), RNA Research and Splicing (4 papers), RNA modifications and cancer (4 papers), Pluripotent Stem Cells Research (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Aging (53 citations), Endocrinology (109 citations), Molecular Biology (1.4k citations), Horticulture (16 citations) and Business and International Management (27 citations). Michael Aregger has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Jason Moffat, Kevin R. Brown, Megha Chandrashekhar, Patricia Mero, Peter B. Dirks, Daniel Durocher, Zachary Steinhart, Michal Zimmermann, Monika Mis and Stéphane Angers. Their work appears in journals such as Molecular Cell, Nature Protocols, Molecular Systems Biology, Nucleic Acids Research and PLoS Pathogens.
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.