Benjamin Schmid
- Biophysics top 0.01%
- Cell Image Analysis Techniques 10
- Advanced Fluorescence Microscopy Techniques 8
- Aging top 0.1%
- Structural Biology top 0.2%
- Cell Biology top 0.05%
- Molecular Biology top 0.1%
- Single-cell and spatial transcriptomics 3
- Genomics and Phylogenetic Studies 3
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- Neurobiology and Insect Physiology Research 5
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- Medical Imaging Techniques and Applications 2
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- Magnetic and transport properties of perovskites and related materials 2
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- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
- Co-authors
- Ignacio Arganda‐CarrerasAlbert CardonaJohannes SchindelinMark LongairStephan SaalfeldPavel TomančákStephan PreibischVolker Hartenstein
- Cited by
- BiophysicsAgingStructural Biology
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Benjamin Schmid
40 papers receiving 48.3k citations
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 2 | |
| 5 | 2021 | 8 | |
| 6 | 2020 | 61 | |
| 7 | 2019 | 39 | |
| 8 | 2019 | 34 | |
| 9 | 2016 | 2 | |
| 10 | 2015 | 94 | |
| 11 | 2015 | 48 | |
| 12 | 2013 | 127 | |
| 13 | 2013 | 265 | |
| 14 | Fiji: an open-source platform for biological-image analysisbreakdown → | 2012 | 44856 |
| 15 | 2012 | 23 | |
| 16 | 2011 | 38 | |
| 17 | BoneJ: Free and extensible bone image analysis in ImageJbreakdown → | 2010 | 1664 |
| 18 | 2010 | 256 | |
| 19 | 2010 | 413 | |
| 20 | 2004 | 1 |
About Benjamin Schmid
Benjamin Schmid is a scholar working on Biophysics, Structural Biology and Immunology and Allergy, 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), Single-cell and spatial transcriptomics (3 papers), Genomics and Phylogenetic Studies (3 papers), Medical Imaging Techniques and Applications (2 papers), Magnetic and transport properties of perovskites and related materials (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). The work is most often cited by research in Biophysics (3.4k citations), Aging (929 citations) and Structural Biology (715 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, Stephan Saalfeld, Pavel Tomančák, Stephan Preibisch, Volker Hartenstein, Erwin Frise and Daniel J. White. 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.