Philipp Keller
- Biophysics top 0.01%
- Advanced Fluorescence Microscopy Techniques 40
- Cell Image Analysis Techniques 37
- Structural Biology top 0.5%
- Aging top 1%
- Cell Biology top 0.5%
- Cellular Mechanics and Interactions 9
- Microtubule and mitosis dynamics 6
- Zebrafish Biomedical Research Applications 6
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- Single-cell and spatial transcriptomics 18
- Retinal Development and Disorders 6
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- Image Processing Techniques and Applications 5
- Co-authors
- Ernst H. K. StelzerJoachim WittbrodtAnnette D. SchmidtMisha B. AhrensFernando AmatKhaled KhairyWilliam C. LemonMichael B. Orger
- Cited by
- BiophysicsStructural BiologyAging
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Philipp Keller
76 papers receiving 7.9k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Biophysics 4.1k
- Structural Biology 363
- Aging 184
- Cell Biology 1.3k
- Cellular and Molecular Neuroscience 931
Countries citing papers authored by Philipp Keller
This map shows the geographic impact of Philipp Keller'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 Philipp Keller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Keller more than expected).
Fields of papers citing papers by Philipp Keller
This network shows the impact of papers produced by Philipp Keller. 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 Philipp Keller. The network helps show where Philipp Keller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Philipp Keller, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2022 | 16 | |
| 4 | 2021 | 100 | |
| 5 | Tissue clearing and its applications in neurosciencebreakdown → | 2020 | 362 |
| 6 | 2020 | 57 | |
| 7 | 2019 | 166 | |
| 8 | 2019 | 69 | |
| 9 | 2019 | 33 | |
| 10 | 2018 | 39 | |
| 11 | A general method to fine-tune fluorophores for live-cell and in vivo imagingbreakdown → | 2017 | 477 |
| 12 | 2016 | 34 | |
| 13 | 2016 | 114 | |
| 14 | 2015 | 160 | |
| 15 | 2014 | 71 | |
| 16 | 2014 | 196 | |
| 17 | 2014 | 20 | |
| 18 | 2014 | 9 | |
| 19 | 2011 | 121 | |
| 20 | 2005 | 65 |
About Philipp Keller
Philipp Keller is a scholar working on Biophysics, Structural Biology, Cell Biology, Molecular Biology and Media Technology, having authored 77 papers that have together received 8.1k indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (40 papers), Cell Image Analysis Techniques (37 papers), Single-cell and spatial transcriptomics (18 papers), Cellular Mechanics and Interactions (9 papers), Microtubule and mitosis dynamics (6 papers), Zebrafish Biomedical Research Applications (6 papers), Retinal Development and Disorders (6 papers) and Image Processing Techniques and Applications (5 papers). The work is most often cited by research in Biophysics (4.1k citations), Structural Biology (363 citations), Aging (184 citations), Cell Biology (1.3k citations) and Cellular and Molecular Neuroscience (931 citations). Philipp Keller has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Ernst H. K. Stelzer, Joachim Wittbrodt, Annette D. Schmidt, Misha B. Ahrens, Fernando Amat, Khaled Khairy, William C. Lemon, Michael B. Orger, Drew N. Robson and Jennifer Li. Their work appears in journals such as Nature Methods, Nature Biotechnology, Science, Developmental Cell 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.