Erwin Frise
Impact in
- Aging top 0.1%
- Biophysics top 0.02%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
Papers in
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- Genomics and Phylogenetic Studies 7
- Genomics and Chromatin Dynamics 6
- Single-cell and spatial transcriptomics 4
- Developmental Biology and Gene Regulation 3
- Gene expression and cancer classification 2
- Genetics, Bioinformatics, and Biomedical Research 1
-
- Cell Image Analysis Techniques 3
- Co-authors
- Volker Hartenstein (2 shared papers)Kevin W. Eliceiri (1 shared paper)Mark Longair (1 shared paper)Ignacio Arganda‐Carreras (1 shared paper)Verena Kaynig (1 shared paper)Curtis Rueden (1 shared paper)Daniel J. White (1 shared paper)Johannes Schindelin (1 shared paper)
- Journals
- Genome biology (3 papers)Science (2 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Methods (1 paper)iScience (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Erwin Frise
14 papers receiving 46.2k citations
Erwin Frise's Hit Papers
Peers
Comparison fields: 5 of 220
- Aging 961
- Biophysics 2.7k
- Structural Biology 598
- Cell Biology 6.0k
- Molecular Biology 19.3k
Countries citing papers authored by Erwin Frise
This map shows the geographic impact of Erwin Frise'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 Erwin Frise with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erwin Frise more than expected).
Fields of papers citing papers by Erwin Frise
This network shows the impact of papers produced by Erwin Frise. 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 Erwin Frise. The network helps show where Erwin Frise may publish in the future.
Co-authors
The 25 scholars most cited alongside Erwin Frise, 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 | Fiji: an open-source platform for biological-image analysis Hit paper breakdown → | 2012 | 44856 |
| 2 | 2002 | 472 | |
| 3 | 2000 | 282 | |
| 4 | 1996 | 265 | |
| 5 | 2007 | 228 | |
| 6 | 2013 | 102 | |
| 7 | 2016 | 91 | |
| 8 | 2010 | 73 | |
| 9 | 2002 | 41 | |
| 10 | 2009 | 21 | |
| 11 | 2007 | 11 | |
| 12 | 2023 | 10 | |
| 13 | 2016 | 8 | |
| 14 | 2018 | 4 |
About Erwin Frise
Erwin Frise is a scholar working on Molecular Biology, Biophysics, Plant Science, Genetics and Computer Networks and Communications, having authored 14 papers that have together received 46.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Genomics and Chromatin Dynamics (6 papers), Single-cell and spatial transcriptomics (4 papers), Cell Image Analysis Techniques (3 papers), Chromosomal and Genetic Variations (3 papers), Developmental Biology and Gene Regulation (3 papers), Gene expression and cancer classification (2 papers) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Aging (961 citations), Biophysics (2.7k citations), Structural Biology (598 citations), Cell Biology (6.0k citations) and Molecular Biology (19.3k citations). Erwin Frise has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Volker Hartenstein, Kevin W. Eliceiri, Mark Longair, Ignacio Arganda‐Carreras, Verena Kaynig, Curtis Rueden, Daniel J. White, Johannes Schindelin, Stephan Preibisch and Jean-Yves Tinévez. Their work appears in journals such as Genome biology, Science, Proceedings of the National Academy of Sciences, Nature Methods and iScience.
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.