Daniel C. Strobl
Impact in
- Biophysics top 1%
- Cell Image Analysis Techniques
- Molecular Biology top 10%
- Single-cell and spatial transcriptomics
- Gene Regulatory Network Analysis
- Gene expression and cancer classification
- Extracellular vesicles in disease
Papers in
-
- Cell Image Analysis Techniques 3
-
- Immune Cell Function and Interaction 2
- interferon and immune responses 1
- Co-authors
- Fabian Joachim Theis (3 shared papers)Malte D. Luecken (2 shared papers)Marta Interlandi (1 shared paper)Luke R. Zappia (1 shared paper)Maria Colomé‐Tatché (1 shared paper)Kridsadakorn Chaichoompu (1 shared paper)Anna Danese (1 shared paper)Martin Dugas (1 shared paper)
- Journals
- Nature Medicine (1 paper)NAR Genomics and Bioinformatics (1 paper)Science Advances (1 paper)Nature Reviews Genetics (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- GermanyUnited KingdomNetherlands
In The Last Decade
Daniel C. Strobl
7 papers receiving 1.7k citations
Daniel C. Strobl's Hit Papers
Peers
Comparison fields: 5 of 107
- Biophysics 266
- Molecular Biology 1.2k
- Immunology 311
- Cancer Research 201
- Pulmonary and Respiratory Medicine 164
Countries citing papers authored by Daniel C. Strobl
This map shows the geographic impact of Daniel C. Strobl'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 Daniel C. Strobl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. Strobl more than expected).
Fields of papers citing papers by Daniel C. Strobl
This network shows the impact of papers produced by Daniel C. Strobl. 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 Daniel C. Strobl. The network helps show where Daniel C. Strobl may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel C. Strobl, 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 | Benchmarking atlas-level data integration in single-cell genomics Hit paper breakdown → | 2021 | 731 |
| 2 | Best practices for single-cell analysis across modalities Hit paper breakdown → | 2023 | 529 |
| 3 | An integrated cell atlas of the lung in health and disease Hit paper breakdown → | 2023 | 425 |
| 4 | 2023 | 40 | |
| 5 | 2023 | 20 | |
| 6 | 2025 | 8 | |
| 7 | 2022 | 5 |
About Daniel C. Strobl
Daniel C. Strobl is a scholar working on Biophysics, Immunology, Molecular Biology, Oncology and Cancer Research, having authored 7 papers that have together received 1.8k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Cell Image Analysis Techniques (3 papers), Immune Cell Function and Interaction (2 papers), Neonatal Respiratory Health Research (1 paper), interferon and immune responses (1 paper), Cancer Cells and Metastasis (1 paper), Advanced Biosensing Techniques and Applications (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Biophysics (266 citations), Molecular Biology (1.2k citations), Immunology (311 citations), Cancer Research (201 citations) and Pulmonary and Respiratory Medicine (164 citations). Daniel C. Strobl has collaborated with scholars based in Germany, United Kingdom and Netherlands. Frequent co-authors include Fabian Joachim Theis, Malte D. Luecken, Marta Interlandi, Luke R. Zappia, Maria Colomé‐Tatché, Kridsadakorn Chaichoompu, Anna Danese, Martin Dugas, Maren Büttner and Martin Fritz Mueller. Their work appears in journals such as Nature Medicine, NAR Genomics and Bioinformatics, Science Advances, Nature Reviews Genetics and Frontiers in Immunology.
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.