E. Schönbrunn
Impact in
- Molecular Biology top 2%
- Protein Degradation and Inhibitors
- Plant tissue culture and regeneration
- Protein Structure and Dynamics
- Ubiquitin and proteasome pathways
- Pollution top 2%
- Pesticide and Herbicide Environmental Studies
Papers in
- Hematology 19
- Multiple Myeloma Research and Treatments 18
-
- Protein Degradation and Inhibitors 25
- Ubiquitin and proteasome pathways 17
- Biochemical and Molecular Research 13
- Co-authors
- Susanne EschenburgEckhard Mandelkow�Alexander MarxHuijong HanMathew P. MartinNikolaus AmrheinT. FunkeWolfgang Kabsch
- Journals
- Journal of Medicinal Chemistry (15 papers)Journal of Biological Chemistry (9 papers)Biochemistry (9 papers)ACS Chemical Biology (8 papers)ChemMedChem (4 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
E. Schönbrunn
95 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 140
- Molecular Biology 3.8k
- Pollution 581
- Cell Biology 802
- Hematology 420
- Molecular Medicine 160
Countries citing papers authored by E. Schönbrunn
This map shows the geographic impact of E. Schönbrunn'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 E. Schönbrunn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Schönbrunn more than expected).
Fields of papers citing papers by E. Schönbrunn
This network shows the impact of papers produced by E. Schönbrunn. 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 E. Schönbrunn. The network helps show where E. Schönbrunn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside E. Schönbrunn, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 27 | |
| 6 | 2022 | 12 | |
| 7 | 2022 | 17 | |
| 8 | 2021 | 22 | |
| 9 | 2021 | 6 | |
| 10 | 2020 | 7 | |
| 11 | 2019 | 7 | |
| 12 | 2018 | 51 | |
| 13 | 2017 | 41 | |
| 14 | 2017 | 28 | |
| 15 | 2017 | 13 | |
| 16 | 2012 | 123 | |
| 17 | 2010 | 129 | |
| 18 | 2007 | 72 | |
| 19 | 1997 | 330 | |
| 20 | 1996 | 5 |
About E. Schönbrunn
E. Schönbrunn is a scholar working on Hematology, Molecular Biology, Oncology, Cell Biology and Biotechnology, having authored 96 papers that have together received 5.4k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (25 papers), Multiple Myeloma Research and Treatments (18 papers), Cancer-related Molecular Pathways (18 papers), Ubiquitin and proteasome pathways (17 papers), Biochemical and Molecular Research (13 papers), Microtubule and mitosis dynamics (10 papers), Enzyme Structure and Function (10 papers) and Carbohydrate Chemistry and Synthesis (10 papers). The work is most often cited by research in Molecular Biology (3.8k citations), Pollution (581 citations), Cell Biology (802 citations), Hematology (420 citations) and Molecular Medicine (160 citations). E. Schönbrunn has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Susanne Eschenburg, Eckhard Mandelkow�, Alexander Marx, Huijong Han, Mathew P. Martin, Nikolaus Amrhein, T. Funke, Wolfgang Kabsch, S.H. Olesen and Gunda I. Georg. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Biological Chemistry, Biochemistry, ACS Chemical Biology and ChemMedChem.
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.