Philipp Angerer
Impact in
- Biophysics top 0.5%
- Cell Image Analysis Techniques
- Molecular Biology top 2%
- Single-cell and spatial transcriptomics
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
Papers in
-
- Single-cell and spatial transcriptomics 6
- Gene expression and cancer classification 2
- CRISPR and Genetic Engineering 1
- Extracellular vesicles in disease 1
- Enzyme Catalysis and Immobilization 1
- Gene Regulatory Network Analysis 1
- Co-authors
- Fabian J. Theis (6 shared papers)F. Alexander Wolf (2 shared papers)Carsten Marr (2 shared papers)Florian Buettner (1 shared paper)Maren Büttner (1 shared paper)Laleh Haghverdi (1 shared paper)Lukas M. Simon (1 shared paper)Sophie Tritschler (1 shared paper)
- Journals
- Bioinformatics (2 papers)Nature (2 papers)Genome biology (2 papers)Current Opinion in Systems Biology (1 paper)Macromolecules (1 paper)
- Partner nations
- GermanySwitzerland
In The Last Decade
Philipp Angerer
11 papers receiving 4.7k citations
Philipp Angerer's Hit Papers
Peers
Comparison fields: 5 of 131
- Biophysics 527
- Molecular Biology 3.4k
- Immunology 984
- Cancer Research 576
- Neurology 221
Countries citing papers authored by Philipp Angerer
This map shows the geographic impact of Philipp Angerer'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 Philipp Angerer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Angerer more than expected).
Fields of papers citing papers by Philipp Angerer
This network shows the impact of papers produced by Philipp Angerer. 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 Philipp Angerer. The network helps show where Philipp Angerer may publish in the future.
Co-authors
The 20 scholars most cited alongside Philipp Angerer, 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 | SCANPY: large-scale single-cell gene expression data analysis Hit paper breakdown → | 2018 | 4109 |
| 2 | 2015 | 380 | |
| 3 | 2017 | 154 | |
| 4 | 2024 | 62 | |
| 5 | 2005 | 23 | |
| 6 | 2019 | 21 | |
| 7 | 2020 | 4 | |
| 8 | 2004 | 2 | |
| 9 | 2004 | 1 | |
| 10 | 2019 | 1 | |
| 11 | 'Jupyter' Display Machinery [R package IRdisplay version 1.0] | 2021 | 1 |
About Philipp Angerer
Philipp Angerer is a scholar working on Molecular Biology, Atmospheric Science, Water Science and Technology, Electrical and Electronic Engineering and Plant Science, having authored 11 papers that have together received 4.8k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Gene expression and cancer classification (2 papers), Biomedical and Engineering Education (1 paper), Hydrology and Watershed Management Studies (1 paper), CRISPR and Genetic Engineering (1 paper), Extracellular vesicles in disease (1 paper), Enzyme Catalysis and Immobilization (1 paper) and Gene Regulatory Network Analysis (1 paper). The work is most often cited by research in Biophysics (527 citations), Molecular Biology (3.4k citations), Immunology (984 citations), Cancer Research (576 citations) and Neurology (221 citations). Philipp Angerer has collaborated with scholars based in Germany and Switzerland. Frequent co-authors include Fabian J. Theis, F. Alexander Wolf, Carsten Marr, Florian Buettner, Maren Büttner, Laleh Haghverdi, Lukas M. Simon, Sophie Tritschler, Florian Wolf and David S. Fischer. Their work appears in journals such as Bioinformatics, Nature, Genome biology, Current Opinion in Systems Biology and Macromolecules.
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.