Michaël Schubert
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Immunology top 10%
- interferon and immune responses
Papers in
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- Cancer Genomics and Diagnostics 3
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- Bioinformatics and Genomic Networks 4
- CRISPR and Genetic Engineering 3
- DNA Repair Mechanisms 2
- Ubiquitin and proteasome pathways 2
- Single-cell and spatial transcriptomics 2
- Gene Regulatory Network Analysis 2
- Co-authors
- Sascha SauerAnja SieberFlorian UhlitzBertram KlingerJulio Sáez-RodríguezMathew J. GarnettNils BlüthgenMartina Klünemann
- Journals
- Nature Communications (2 papers)Nucleic Acids Research (2 papers)Molecular Oncology (1 paper)BMC Genomics (1 paper)Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms (1 paper)
- Partner nations
- NetherlandsGermanyUnited Kingdom
In The Last Decade
Michaël Schubert
14 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Cancer Research 189
- Immunology 263
- Molecular Biology 683
- Oncology 200
- Aging 10
Countries citing papers authored by Michaël Schubert
This map shows the geographic impact of Michaël Schubert'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 Michaël Schubert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaël Schubert more than expected).
Fields of papers citing papers by Michaël Schubert
This network shows the impact of papers produced by Michaël Schubert. 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 Michaël Schubert. The network helps show where Michaël Schubert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michaël Schubert, 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 | 2024 | 3 | |
| 2 | 2023 | 8 | |
| 3 | 2023 | 14 | |
| 4 | cGAS–STING drives the IL-6-dependent survival of chromosomally instable cancers Hit paper breakdown → | 2022 | 226 |
| 5 | 2022 | 18 | |
| 6 | 2022 | 16 | |
| 7 | 2021 | 1 | |
| 8 | 2020 | 17 | |
| 9 | 2019 | 63 | |
| 10 | 2019 | 3 | |
| 11 | 2019 | 7 | |
| 12 | Perturbation-response genes reveal signaling footprints in cancer gene expression Hit paper breakdown → | 2017 | 444 |
| 13 | 2014 | 21 | |
| 14 | 2014 | 205 |
About Michaël Schubert
Michaël Schubert is a scholar working on Cancer Research, Molecular Biology, Cell Biology, Genetics and Immunology, having authored 14 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), CRISPR and Genetic Engineering (3 papers), Cancer Genomics and Diagnostics (3 papers), interferon and immune responses (2 papers), DNA Repair Mechanisms (2 papers), Ubiquitin and proteasome pathways (2 papers), Single-cell and spatial transcriptomics (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Cancer Research (189 citations), Immunology (263 citations), Molecular Biology (683 citations), Oncology (200 citations) and Aging (10 citations). Michaël Schubert has collaborated with scholars based in Netherlands, Germany and United Kingdom. Frequent co-authors include Sascha Sauer, Anja Sieber, Florian Uhlitz, Bertram Klinger, Julio Sáez-Rodríguez, Mathew J. Garnett, Nils Blüthgen, Martina Klünemann, Floris Foijer and Diana C.J. Spierings. Their work appears in journals such as Nature Communications, Nucleic Acids Research, Molecular Oncology, BMC Genomics and Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms.
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.