Stephan Preibisch
Impact in
- Biophysics top 0.01%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Aging top 0.1%
Papers in
- Biophysics 24
- Cell Image Analysis Techniques 20
- Advanced Fluorescence Microscopy Techniques 16
- Aging 4
- Genetics, Aging, and Longevity in Model Organisms 4
- Co-authors
- Pavel TomančákStephan SaalfeldAlbert CardonaVolker HartensteinIgnacio Arganda‐CarrerasJohannes SchindelinMark LongairTobias Pietzsch
- Journals
- Bioinformatics (6 papers)Nature Methods (6 papers)Journal of Visualized Experiments (2 papers)Algorithms for Molecular Biology (2 papers)eLife (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Stephan Preibisch
49 papers receiving 49.2k citations
Hit Papers
Peers
Comparison fields: 5 of 218
- Biophysics 3.7k
- Aging 1.1k
- Structural Biology 836
- Cell Biology 6.3k
- Cellular and Molecular Neuroscience 5.4k
Countries citing papers authored by Stephan Preibisch
This map shows the geographic impact of Stephan Preibisch'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 Stephan Preibisch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Preibisch more than expected).
Fields of papers citing papers by Stephan Preibisch
This network shows the impact of papers produced by Stephan Preibisch. 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 Stephan Preibisch. The network helps show where Stephan Preibisch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephan Preibisch, 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 | 2025 | 12 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 16 | |
| 8 | 2022 | 41 | |
| 9 | 2022 | 12 | |
| 10 | 2022 | 124 | |
| 11 | 2021 | 6 | |
| 12 | 2021 | 9 | |
| 13 | 2021 | 183 | |
| 14 | 2021 | 6 | |
| 15 | 2020 | 19 | |
| 16 | 2019 | 27 | |
| 17 | 2019 | 62 | |
| 18 | 2019 | 166 | |
| 19 | 2019 | 25 | |
| 20 | 2018 | 39 |
About Stephan Preibisch
Stephan Preibisch is a scholar working on Biophysics, Aging, Structural Biology, Media Technology and Molecular Biology, having authored 51 papers that have together received 49.5k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (20 papers), Advanced Fluorescence Microscopy Techniques (16 papers), Gene expression and cancer classification (8 papers), Single-cell and spatial transcriptomics (7 papers), Genomics and Chromatin Dynamics (6 papers), Image Processing Techniques and Applications (6 papers), Molecular Biology Techniques and Applications (5 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). The work is most often cited by research in Biophysics (3.7k citations), Aging (1.1k citations), Structural Biology (836 citations), Cell Biology (6.3k citations) and Cellular and Molecular Neuroscience (5.4k citations). Stephan Preibisch has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Pavel Tomančák, Stephan Saalfeld, Albert Cardona, Volker Hartenstein, Ignacio Arganda‐Carreras, Johannes Schindelin, Mark Longair, Tobias Pietzsch, Benjamin Schmid and Jean-Yves Tinévez. Their work appears in journals such as Bioinformatics, Nature Methods, Journal of Visualized Experiments, Algorithms for Molecular Biology and eLife.
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.