Benjamin Schmid
Impact in
- Biophysics top 0.01%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Aging top 0.1%
Papers in
-
- Genomics and Phylogenetic Studies 3
- Single-cell and spatial transcriptomics 3
- Biophysics 11
- Cell Image Analysis Techniques 10
- Advanced Fluorescence Microscopy Techniques 8
- Co-authors
- Ignacio Arganda‐Carreras (2 shared papers)Albert Cardona (3 shared papers)Johannes Schindelin (2 shared papers)Mark Longair (2 shared papers)Volker Hartenstein (2 shared papers)Pavel Tomančák (2 shared papers)Stephan Preibisch (2 shared papers)Stephan Saalfeld (2 shared papers)
- Journals
- Nature Communications (3 papers)Bioinformatics (2 papers)Nature Methods (2 papers)Physical Review B (2 papers)PLoS ONE (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Benjamin Schmid
40 papers receiving 48.3k citations
Benjamin Schmid's Hit Papers
Peers
Comparison fields: 5 of 219
- Biophysics 3.4k
- Aging 929
- Structural Biology 715
- Cell Biology 6.0k
- Molecular Biology 18.9k
Countries citing papers authored by Benjamin Schmid
This map shows the geographic impact of Benjamin Schmid'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 Benjamin Schmid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Schmid more than expected).
Fields of papers citing papers by Benjamin Schmid
This network shows the impact of papers produced by Benjamin Schmid. 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 Benjamin Schmid. The network helps show where Benjamin Schmid may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Schmid, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fiji: an open-source platform for biological-image analysis Hit paper breakdown → | 2012 | 44856 |
| 2 | BoneJ: Free and extensible bone image analysis in ImageJ Hit paper breakdown → | 2010 | 1664 |
| 3 | 2010 | 413 | |
| 4 | 2013 | 265 | |
| 5 | 2010 | 256 | |
| 6 | 2014 | 175 | |
| 7 | 2013 | 127 | |
| 8 | 2018 | 98 | |
| 9 | 2015 | 94 | |
| 10 | 2018 | 89 | |
| 11 | 2021 | 78 | |
| 12 | 2020 | 61 | |
| 13 | 2015 | 57 | |
| 14 | 2015 | 48 | |
| 15 | 1997 | 45 | |
| 16 | 2019 | 39 | |
| 17 | 2011 | 38 | |
| 18 | 2019 | 34 | |
| 19 | 2018 | 33 | |
| 20 | 2015 | 29 |
About Benjamin Schmid
Benjamin Schmid is a scholar working on Molecular Biology, Biophysics, Cellular and Molecular Neuroscience, Immunology and Oncology, having authored 44 papers that have together received 48.7k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (10 papers), Advanced Fluorescence Microscopy Techniques (8 papers), Neurobiology and Insect Physiology Research (5 papers), Genomics and Phylogenetic Studies (3 papers), Single-cell and spatial transcriptomics (3 papers), Ferrocene Chemistry and Applications (2 papers), Alzheimer's disease research and treatments (2 papers) and Image Processing Techniques and Applications (2 papers). The work is most often cited by research in Biophysics (3.4k citations), Aging (929 citations), Structural Biology (715 citations), Cell Biology (6.0k citations) and Molecular Biology (18.9k citations). Benjamin Schmid has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Ignacio Arganda‐Carreras, Albert Cardona, Johannes Schindelin, Mark Longair, Volker Hartenstein, Pavel Tomančák, Stephan Preibisch, Stephan Saalfeld, Kevin W. Eliceiri and Erwin Frise. Their work appears in journals such as Nature Communications, Bioinformatics, Nature Methods, Physical Review B and PLoS ONE.
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.