Carsten Marr
Impact in
- Biophysics top 0.5%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics
- Gene Regulatory Network Analysis
- Pluripotent Stem Cells Research
Papers in
-
- Single-cell and spatial transcriptomics 24
- Gene Regulatory Network Analysis 23
- Epigenetics and DNA Methylation 7
- CRISPR and Genetic Engineering 5
- Biophysics 27
- Cell Image Analysis Techniques 26
- Advanced Fluorescence Microscopy Techniques 7
- Co-authors
- Fabian J. Theis (33 shared papers)Timm Schroeder (10 shared papers)Florian Buettner (4 shared papers)Marc‐Thorsten Hütt (9 shared papers)Christian Matek (8 shared papers)Philipp Angerer (2 shared papers)Maren Büttner (1 shared paper)Laleh Haghverdi (1 shared paper)
- Journals
- Nature Communications (6 papers)iScience (6 papers)Cell Systems (4 papers)eLife (4 papers)Bioinformatics (3 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Carsten Marr
95 papers receiving 3.0k citations
Carsten Marr's Hit Papers
Peers
Comparison fields: 5 of 154
- Biophysics 543
- Molecular Biology 1.6k
- Cancer Research 315
- Computer Vision and Pattern Recognition 341
- Health Informatics 22
Countries citing papers authored by Carsten Marr
This map shows the geographic impact of Carsten Marr'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 Carsten Marr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carsten Marr more than expected).
Fields of papers citing papers by Carsten Marr
This network shows the impact of papers produced by Carsten Marr. 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 Carsten Marr. The network helps show where Carsten Marr may publish in the future.
Co-authors
The 25 scholars most cited alongside Carsten Marr, 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | destiny : diffusion maps for large-scale single-cell data in R Hit paper breakdown → | 2015 | 359 |
| 2 | 2017 | 188 | |
| 3 | 2012 | 160 | |
| 4 | 2019 | 146 | |
| 5 | 2017 | 130 | |
| 6 | 2011 | 121 | |
| 7 | 2010 | 109 | |
| 8 | 2013 | 109 | |
| 9 | 2020 | 96 | |
| 10 | 2021 | 94 | |
| 11 | 2015 | 93 | |
| 12 | 2003 | 92 | |
| 13 | 2018 | 79 | |
| 14 | 2008 | 71 | |
| 15 | Spatial proteomics in neurons at single-protein resolution Hit paper breakdown → | 2024 | 62 |
| 16 | 2009 | 59 | |
| 17 | 2017 | 50 | |
| 18 | 2020 | 49 | |
| 19 | 2020 | 48 | |
| 20 | 2020 | 45 |
About Carsten Marr
Carsten Marr is a scholar working on Molecular Biology, Biophysics, Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 103 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (26 papers), Single-cell and spatial transcriptomics (24 papers), Gene Regulatory Network Analysis (23 papers), Digital Imaging for Blood Diseases (12 papers), AI in cancer detection (11 papers), Epigenetics and DNA Methylation (7 papers), Advanced Fluorescence Microscopy Techniques (7 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Biophysics (543 citations), Molecular Biology (1.6k citations), Cancer Research (315 citations), Computer Vision and Pattern Recognition (341 citations) and Health Informatics (22 citations). Carsten Marr has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Fabian J. Theis, Timm Schroeder, Florian Buettner, Marc‐Thorsten Hütt, Christian Matek, Philipp Angerer, Maren Büttner, Laleh Haghverdi, Jan Krumsiek and Michael Schwarzfischer. Their work appears in journals such as Nature Communications, iScience, Cell Systems, eLife and Bioinformatics.
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.