Beate Sick

2.1k citations
45 papers · 1.6k · h-index 20

Impact in

Papers in

    • Gene expression and cancer classification 6
    • Bioinformatics and Genomic Networks 4
    • Molecular Biology Techniques and Applications 3
    • Advanced Fluorescence Microscopy Techniques 7
    • Cell Image Analysis Techniques 3

Beate Sick

42 papers receiving 1.5k citations

Peers

Beate Sick
Comparison fields: 5 of 140
  • Biophysics 322
  • Structural Biology 32
  • Atomic and Molecular Physics, and Optics 383
  • Biomedical Engineering 527
  • Health Informatics 16
Replace Riccardo Cicchi with:
Riccardo Cicchi Italy
Pinaki Sarder United States
Adam K. Glaser United States
M. J. Lever United Kingdom
Paul R. Barber United Kingdom
James P. Brody United States
David Mayerich United States
Nicholas J. Durr United States
Yingke Xu China
Gordon T. Kennedy United States
Beate Sick relative to Riccardo Cicchi Italy Riccardo Cicchi's profile →
Citations per field
00.5×
Riccardo Cicchi · 1×
Citations per year

Countries citing papers authored by Beate Sick

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Beate Sick Line = papers co-authored together Beate Sick links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000308
2 1999234
3 201698
4 200689
5 200885
6 201666
7 200262
8 200553
9 202052
10 199952
11 200149
12 201547
13 200343
14 199841
15 201934
16 200428
17 202025
18 200322
19 202319
20 201719

About Beate Sick

Beate Sick is a scholar working on Molecular Biology, Biophysics, Artificial Intelligence, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (7 papers), Gene expression and cancer classification (6 papers), Near-Field Optical Microscopy (4 papers), Machine Learning in Healthcare (4 papers), Acute Ischemic Stroke Management (4 papers), Bioinformatics and Genomic Networks (4 papers), Molecular Biology Techniques and Applications (3 papers) and Cell Image Analysis Techniques (3 papers). The work is most often cited by research in Biophysics (322 citations), Structural Biology (32 citations), Atomic and Molecular Physics, and Optics (383 citations), Biomedical Engineering (527 citations) and Health Informatics (16 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, Raoul M. Stöckle, Volker Deckert, Renato Zenobi and Christian Fokas. Their work appears in journals such as European journal of transport and infrastructure research, Stroke, JAMA, Analytical Chemistry and Molecular Physics.

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.

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