Philipp Weiler
Impact in
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- Single-cell and spatial transcriptomics
- Gene Regulatory Network Analysis
- RNA Research and Splicing
- Gene expression and cancer classification
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- Cell Image Analysis Techniques
Papers in
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- Single-cell and spatial transcriptomics 3
- RNA Research and Splicing 2
- Gene Regulatory Network Analysis 1
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- Robotic Mechanisms and Dynamics 1
- Co-authors
- Fabian J. Theis (2 shared papers)Dana Pe’er (1 shared paper)Marius Lange (1 shared paper)Michal Klein (1 shared paper)Justin Hong (1 shared paper)Aaron Streets (1 shared paper)Nir Yosef (1 shared paper)Mohammad Lotfollahi (1 shared paper)
- Journals
- Nature Methods (2 papers)tm - Technisches Messen (1 paper)Methods in molecular biology (1 paper)mediaTUM (Technical University of Munich) (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Philipp Weiler
5 papers receiving 144 citations
Philipp Weiler's Hit Papers
Peers
Comparison fields: 5 of 38
- Molecular Biology 107
- Biophysics 9
- Cancer Research 18
- Immunology 19
- Developmental Neuroscience 3
Countries citing papers authored by Philipp Weiler
This map shows the geographic impact of Philipp Weiler'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 Weiler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Weiler more than expected).
Fields of papers citing papers by Philipp Weiler
This network shows the impact of papers produced by Philipp Weiler. 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 Weiler. The network helps show where Philipp Weiler may publish in the future.
Co-authors
The 19 scholars most cited alongside Philipp Weiler, 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 | CellRank 2: unified fate mapping in multiview single-cell data Hit paper breakdown → | 2024 | 67 |
| 2 | 2023 | 53 | |
| 3 | 2022 | 15 | |
| 4 | 2020 | 8 | |
| 5 | 2017 | 2 |
About Philipp Weiler
Philipp Weiler is a scholar working on Molecular Biology, Control and Systems Engineering, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Oncology, having authored 5 papers that have together received 145 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), RNA Research and Splicing (2 papers), Heat Transfer and Boiling Studies (1 paper), Robotic Mechanisms and Dynamics (1 paper), Cancer Cells and Metastasis (1 paper), Gene Regulatory Network Analysis (1 paper), Solar Radiation and Photovoltaics (1 paper) and Neonatal Respiratory Health Research (1 paper). The work is most often cited by research in Molecular Biology (107 citations), Biophysics (9 citations), Cancer Research (18 citations), Immunology (19 citations) and Developmental Neuroscience (3 citations). Philipp Weiler has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Fabian J. Theis, Dana Pe’er, Marius Lange, Michal Klein, Justin Hong, Aaron Streets, Nir Yosef, Mohammad Lotfollahi, Adam Gayoso and Dominik Klein. Their work appears in journals such as Nature Methods, tm - Technisches Messen, Methods in molecular biology and mediaTUM (Technical University of Munich).
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.