Beate Sick
- Biophysics top 1%
- Advanced Fluorescence Microscopy Techniques 7
- Cell Image Analysis Techniques 3
- Structural Biology top 5%
- Biomedical Engineering top 5%
- Near-Field Optical Microscopy 4
- Health Informatics top 10%
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- Gene expression and cancer classification 5
- Bioinformatics and Genomic Networks 4
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- Acute Ischemic Stroke Management 5
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- Machine Learning in Healthcare 4
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- Cerebrovascular and Carotid Artery Diseases 3
- Co-authors
- Bert HechtLukáš NovotnýUrs P. WildOliver DürrSteffen HeberMichael PrummerChristian FokasRaoul M. Stöckle
- Journals
- JAMA (2 papers)Analytical Chemistry (2 papers)European journal of transport and infrastructure research (2 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Beate Sick
41 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 137
- Biophysics 305
- Structural Biology 30
- Atomic and Molecular Physics, and Optics 370
- Biomedical Engineering 512
- Health Informatics 14
Countries citing papers authored by Beate Sick
This map shows the geographic impact of Beate Sick'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 Beate Sick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beate Sick more than expected).
Fields of papers citing papers by Beate Sick
This network shows the impact of papers produced by Beate Sick. 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 Beate Sick. The network helps show where Beate Sick may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Beate Sick, 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 | 2024 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 4 | |
| 4 | 2022 | 4 | |
| 5 | 2021 | 6 | |
| 6 | Ordinal Neural Network Transformation Models: Deep and interpretable regression models for ordinal outcomes. | 2020 | 1 |
| 7 | 2020 | 3 | |
| 8 | 2020 | 43 | |
| 9 | 2018 | 10 | |
| 10 | 2018 | 7 | |
| 11 | 2017 | 13 | |
| 12 | 2016 | 60 | |
| 13 | 2009 | 3 | |
| 14 | 2008 | 4 | |
| 15 | 2008 | 78 | |
| 16 | 2006 | 84 | |
| 17 | 2005 | 52 | |
| 18 | 2003 | 18 | |
| 19 | 2002 | 56 | |
| 20 | 2001 | 49 |
About Beate Sick
Beate Sick is a scholar working on Biophysics, Transportation and Rehabilitation, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (7 papers), Gene expression and cancer classification (5 papers), Acute Ischemic Stroke Management (5 papers), Machine Learning in Healthcare (4 papers), Bioinformatics and Genomic Networks (4 papers), Near-Field Optical Microscopy (4 papers), Cell Image Analysis Techniques (3 papers) and Cerebrovascular and Carotid Artery Diseases (3 papers). The work is most often cited by research in Biophysics (305 citations), Structural Biology (30 citations) and Atomic and Molecular Physics, and Optics (370 citations). Beate Sick has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Bert Hecht, Lukáš Novotný, Urs P. Wild, Oliver Dürr, Steffen Heber, Michael Prummer, Christian Fokas, Raoul M. Stöckle, Volker Deckert and Renato Zenobi. Their work appears in journals such as JAMA, Analytical Chemistry, European journal of transport and infrastructure research, Stroke and World Neurosurgery.
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.