Michael Strasser
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
- Modeling and Simulation top 10%
- Mathematical Biology Tumor Growth
Papers in
-
- Single-cell and spatial transcriptomics 8
- Gene Regulatory Network Analysis 6
- Machine Learning in Bioinformatics 1
-
- IoT and Edge/Fog Computing 2
- Co-authors
- Carsten Marr (8 shared papers)Fabian J. Theis (7 shared papers)Timm Schroeder (3 shared papers)Philipp S. Hoppe (2 shared papers)Dirk Loeffler (2 shared papers)Konstantinos D. Kokkaliaris (2 shared papers)Michael Schwarzfischer (2 shared papers)Florian Buettner (2 shared papers)
- Journals
- SAE technical papers on CD-ROM/SAE technical paper series (2 papers)Nature Methods (1 paper)PLoS Biology (1 paper)BMC Systems Biology (1 paper)Nature Communications (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Michael Strasser
16 papers receiving 335 citations
Peers
Comparison fields: 5 of 81
- Biophysics 100
- Modeling and Simulation 38
- Developmental Neuroscience 23
- Molecular Biology 202
- Media Technology 25
Countries citing papers authored by Michael Strasser
This map shows the geographic impact of Michael Strasser'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 Michael Strasser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Strasser more than expected).
Fields of papers citing papers by Michael Strasser
This network shows the impact of papers produced by Michael Strasser. 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 Michael Strasser. The network helps show where Michael Strasser may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Strasser, 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 | 2017 | 130 | |
| 2 | 2019 | 61 | |
| 3 | 2012 | 43 | |
| 4 | 2018 | 34 | |
| 5 | 2018 | 22 | |
| 6 | 2012 | 15 | |
| 7 | 2017 | 12 | |
| 8 | 2016 | 6 | |
| 9 | 2016 | 5 | |
| 10 | 2018 | 4 | |
| 11 | 2015 | 2 | |
| 12 | Pathologic quiz case 2. Nasal leiomyosarcoma, low grade. | 1998 | 2 |
| 13 | 2016 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2007 | 1 | |
| 16 | 2009 | 1 |
About Michael Strasser
Michael Strasser is a scholar working on Molecular Biology, Computer Networks and Communications, Computer Vision and Pattern Recognition, Media Technology and Biophysics, having authored 16 papers that have together received 341 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (8 papers), Gene Regulatory Network Analysis (6 papers), Cell Image Analysis Techniques (2 papers), IoT and Edge/Fog Computing (2 papers), Smart Cities and Technologies (2 papers), Plant Molecular Biology Research (1 paper), Machine Learning in Bioinformatics (1 paper) and Radar Systems and Signal Processing (1 paper). The work is most often cited by research in Biophysics (100 citations), Modeling and Simulation (38 citations), Developmental Neuroscience (23 citations), Molecular Biology (202 citations) and Media Technology (25 citations). Michael Strasser has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Carsten Marr, Fabian J. Theis, Timm Schroeder, Philipp S. Hoppe, Dirk Loeffler, Konstantinos D. Kokkaliaris, Michael Schwarzfischer, Florian Buettner, Matthias Kroiß and Oliver Hilsenbeck. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Nature Methods, PLoS Biology, BMC Systems Biology and Nature Communications.
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.