Michael Schebesta
Impact in
- Molecular Biology top 5%
- Protein Degradation and Inhibitors
- Congenital heart defects research
- Developmental Biology and Gene Regulation
- Ubiquitin and proteasome pathways
- Virology top 5%
- HIV Research and Treatment
Papers in
-
- Zebrafish Biomedical Research Applications 2
- Microtubule and mitosis dynamics 1
- Virology 2
- HIV Research and Treatment 2
- Co-authors
- Meinrad Busslinger (4 shared papers)Mark T. Keating (4 shared papers)Ching‐Ling Lien (3 shared papers)Felix Benedikt Engel (3 shared papers)Abdallah Souabni (1 shared paper)César Cobaleda (1 shared paper)Peter Pfeffer (1 shared paper)Shinji Makino (1 shared paper)
- Journals
- Immunity (2 papers)Blood (1 paper)Developmental Dynamics (1 paper)Nucleic Acids Research (1 paper)Communications Biology (1 paper)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Michael Schebesta
14 papers receiving 2.2k citations
Michael Schebesta's Hit Papers
Peers
Comparison fields: 5 of 76
- Molecular Biology 1.4k
- Virology 83
- Immunology 303
- Developmental Neuroscience 38
- Cell Biology 156
Countries citing papers authored by Michael Schebesta
This map shows the geographic impact of Michael Schebesta'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 Schebesta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Schebesta more than expected).
Fields of papers citing papers by Michael Schebesta
This network shows the impact of papers produced by Michael Schebesta. 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 Schebesta. The network helps show where Michael Schebesta may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Schebesta, 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 | Structure of the DDB1–CRBN E3 ubiquitin ligase in complex with thalidomide Hit paper breakdown → | 2014 | 922 |
| 2 | 2006 | 234 | |
| 3 | 2002 | 193 | |
| 4 | 1996 | 184 | |
| 5 | 2002 | 142 | |
| 6 | 2006 | 130 | |
| 7 | 2002 | 123 | |
| 8 | 2006 | 92 | |
| 9 | 1998 | 80 | |
| 10 | 1998 | 68 | |
| 11 | 2009 | 41 | |
| 12 | 2025 | 5 | |
| 13 | 2025 | 4 | |
| 14 | 2006 | 3 | |
| 15 | 1980 | 0 | |
| 16 | 1980 | 0 |
About Michael Schebesta
Michael Schebesta is a scholar working on Cell Biology, Virology, Immunology, Finance and Accounting, having authored 16 papers that have together received 2.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Banking stability, regulation, efficiency (2 papers), HIV Research and Treatment (2 papers), Banking Systems and Strategies (2 papers), Zebrafish Biomedical Research Applications (2 papers), Congenital heart defects research (2 papers), Microtubule and mitosis dynamics (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Molecular Biology (1.4k citations), Virology (83 citations), Immunology (303 citations), Developmental Neuroscience (38 citations) and Cell Biology (156 citations). Michael Schebesta has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Meinrad Busslinger, Mark T. Keating, Ching‐Ling Lien, Felix Benedikt Engel, Abdallah Souabni, César Cobaleda, Peter Pfeffer, Shinji Makino, Barry Heavey and Joachim Hauber. Their work appears in journals such as Immunity, Blood, Developmental Dynamics, Nucleic Acids Research and Communications Biology.
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.