Markus Aebi
- Molecular Biology top 0.1%
- Glycosylation and Glycoproteins Research 112
- Fungal and yeast genetics research 30
- RNA and protein synthesis mechanisms 17
- Cell Biology top 0.2%
- Cellular transport and secretion 17
- Endoplasmic Reticulum Stress and Disease 15
- Immunology top 0.5%
- Galectins and Cancer Biology 42
- Biotechnology top 0.1%
- Organic Chemistry top 0.5%
- Carbohydrate Chemistry and Synthesis 56
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- Bacteriophages and microbial interactions 16
- Co-authors
- Ari HeleniusPatricie BurdaFlavio SchwarzStephan te HeesenClaude A. JakobCharles WeissmannHorst HornigMarkus Künzler
- Journals
- Glycobiology (20 papers)Journal of Biological Chemistry (18 papers)Proceedings of the National Academy of Sciences (10 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Markus Aebi
214 papers receiving 17.8k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Molecular Biology 14.0k
- Cell Biology 3.1k
- Immunology 3.5k
- Biotechnology 1.3k
- Organic Chemistry 3.7k
Countries citing papers authored by Markus Aebi
This map shows the geographic impact of Markus Aebi'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 Markus Aebi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Aebi more than expected).
Fields of papers citing papers by Markus Aebi
This network shows the impact of papers produced by Markus Aebi. 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 Markus Aebi. The network helps show where Markus Aebi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Markus Aebi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 4 | |
| 2 | 2021 | 19 | |
| 3 | 2020 | 84 | |
| 4 | 2019 | 36 | |
| 5 | 2019 | 36 | |
| 6 | 2018 | 145 | |
| 7 | 2018 | 63 | |
| 8 | 2017 | 27 | |
| 9 | 2015 | 28 | |
| 10 | 2009 | 188 | |
| 11 | Does Rft1 flip an N-glycan lipid precursor? | 2008 | 1 |
| 12 | Does Rft1 flip an N-glycan lipid precursor?: Reply | 2008 | 1 |
| 13 | 2005 | 343 | |
| 14 | 2005 | 51 | |
| 15 | 2004 | 70 | |
| 16 | N-Linked Glycosylation in Campylobacter jejuni and Its Functional Transfer into E. colibreakdown → | 2002 | 602 |
| 17 | 2001 | 104 | |
| 18 | 2001 | 33 | |
| 19 | 1999 | 35 | |
| 20 | 1988 | 28 |
About Markus Aebi
Markus Aebi is a scholar working on Molecular Biology, Cell Biology and Immunology, having authored 218 papers that have together received 18.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (112 papers), Carbohydrate Chemistry and Synthesis (56 papers), Galectins and Cancer Biology (42 papers), Fungal and yeast genetics research (30 papers), RNA and protein synthesis mechanisms (17 papers), Cellular transport and secretion (17 papers), Bacteriophages and microbial interactions (16 papers) and Endoplasmic Reticulum Stress and Disease (15 papers). The work is most often cited by research in Molecular Biology (14.0k citations), Cell Biology (3.1k citations) and Immunology (3.5k citations). Markus Aebi has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Ari Helenius, Patricie Burda, Flavio Schwarz, Stephan te Heesen, Claude A. Jakob, Charles Weissmann, Horst Hornig, Markus Künzler, Michael Wacker and Kaspar P. Locher. Their work appears in journals such as Glycobiology, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, The EMBO Journal and Nature.
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.