Maren Büttner
Impact in
- Biophysics top 0.5%
- Cell Image Analysis Techniques
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics
- Gene Regulatory Network Analysis
- Gene expression and cancer classification
- Extracellular vesicles in disease
- Pluripotent Stem Cells Research
Papers in
-
- Single-cell and spatial transcriptomics 12
- Gene expression and cancer classification 3
- Surgery 5
- Pancreatic function and diabetes 4
- Co-authors
- Fabian J. Theis (18 shared papers)Laleh Haghverdi (2 shared papers)Florian Buettner (2 shared papers)F. Alexander Wolf (2 shared papers)Malte D. Luecken (3 shared papers)Marta Interlandi (2 shared papers)Philipp Angerer (1 shared paper)Carsten Marr (1 shared paper)
- Journals
- Nature Cell Biology (4 papers)Proceedings of the National Academy of Sciences (3 papers)Nature Methods (3 papers)Nature Communications (1 paper)Bioinformatics (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Maren Büttner
26 papers receiving 3.0k citations
Maren Büttner's Hit Papers
Peers
Comparison fields: 5 of 128
- Biophysics 495
- Molecular Biology 2.3k
- Cancer Research 386
- Immunology 464
- Neurology 95
Countries citing papers authored by Maren Büttner
This map shows the geographic impact of Maren Büttner'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 Maren Büttner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maren Büttner more than expected).
Fields of papers citing papers by Maren Büttner
This network shows the impact of papers produced by Maren Büttner. 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 Maren Büttner. The network helps show where Maren Büttner may publish in the future.
Co-authors
The 25 scholars most cited alongside Maren Büttner, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Diffusion pseudotime robustly reconstructs lineage branching Hit paper breakdown → | 2016 | 749 |
| 2 | Benchmarking atlas-level data integration in single-cell genomics Hit paper breakdown → | 2021 | 630 |
| 3 | 2015 | 380 | |
| 4 | Mapping single-cell data to reference atlases by transfer learning Hit paper breakdown → | 2021 | 271 |
| 5 | 2018 | 259 | |
| 6 | 2021 | 144 | |
| 7 | 2019 | 140 | |
| 8 | 2021 | 58 | |
| 9 | 2021 | 56 | |
| 10 | 2019 | 49 | |
| 11 | 2023 | 40 | |
| 12 | 2013 | 34 | |
| 13 | 2021 | 34 | |
| 14 | 2013 | 25 | |
| 15 | 2023 | 23 | |
| 16 | 2005 | 15 | |
| 17 | 2022 | 13 | |
| 18 | 2024 | 11 | |
| 19 | 2023 | 9 | |
| 20 | 2006 | 7 |
About Maren Büttner
Maren Büttner is a scholar working on Molecular Biology, Surgery, Oncology, Genetics and Immunology, having authored 27 papers that have together received 3.0k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (12 papers), Cancer Cells and Metastasis (4 papers), Pancreatic function and diabetes (4 papers), Gene expression and cancer classification (3 papers), Diabetes and associated disorders (3 papers), Immune cells in cancer (3 papers), Cell Image Analysis Techniques (3 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Biophysics (495 citations), Molecular Biology (2.3k citations), Cancer Research (386 citations), Immunology (464 citations) and Neurology (95 citations). Maren Büttner has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Fabian J. Theis, Laleh Haghverdi, Florian Buettner, F. Alexander Wolf, Malte D. Luecken, Marta Interlandi, Philipp Angerer, Carsten Marr, Luke Zappia and Daniel Strobl. Their work appears in journals such as Nature Cell Biology, Proceedings of the National Academy of Sciences, Nature Methods, Nature Communications 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.