Florian Buettner
- Molecular Biology top 2%
- Immunology top 5%
- Cancer Research top 2%
- Biophysics top 0.2%
- Genetics top 5%
- Co-authors
- Fabian J. TheisLaleh HaghverdiJohn C. MarioniOliver StegleMaren BüttnerF. Alexander WolfSarah A. TeichmannAntonio Scialdone
- Topics
- Single-cell and spatial transcriptomics (15 papers)Advanced Radiotherapy Techniques (11 papers)Gene expression and cancer classification (9 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Florian Buettner
48 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Molecular Biology 3.6k
- Immunology 855
- Cancer Research 697
- Biophysics 649
- Genetics 506
Countries citing papers authored by Florian Buettner
This map shows the geographic impact of Florian Buettner'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 Florian Buettner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Buettner more than expected).
Fields of papers citing papers by Florian Buettner
This network shows the impact of papers produced by Florian Buettner. 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 Florian Buettner. The network helps show where Florian Buettner may publish in the future.
Co-authorship network of co-authors of Florian Buettner
This figure shows the co-authorship network connecting the top 25 collaborators of Florian Buettner. A scholar is included among the top collaborators of Florian Buettner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Florian Buettner. Florian Buettner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 30 | |
| 5 | 7 | |
| 6 | Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data setsbreakdown → | 664 |
| 7 | 13 | |
| 8 | 59 | |
| 9 | 1 | |
| 10 | 130 | |
| 11 | 12 | |
| 12 | 3 | |
| 13 | destiny : diffusion maps for large-scale single-cell data in Rbreakdown → | 359 |
| 14 | 320 | |
| 15 | 238 | |
| 16 | 82 | |
| 17 | Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cellsbreakdown → | 775 |
| 18 | 265 | |
| 19 | 68 | |
| 20 | 59 |
About Florian Buettner
Florian Buettner is a scholar working on Radiation, Otorhinolaryngology and Aging, having authored 52 papers that have together received 5.3k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (15 papers), Advanced Radiotherapy Techniques (11 papers) and Gene expression and cancer classification (9 papers). The work is most often cited by research in Biophysics (649 citations), Molecular Biology (3.6k citations) and Cancer Research (697 citations). Florian Buettner has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Fabian J. Theis, Laleh Haghverdi, John C. Marioni, Oliver Stegle, Maren Büttner, F. Alexander Wolf, Sarah A. Teichmann, Antonio Scialdone, Kedar Nath Natarajan and Valentina Proserpio. Their work appears in journals such as JAMA, Nucleic Acids Research 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.