Michaël Schubert
Impact in
- Immunology top 10%
- interferon and immune responses
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
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- Bioinformatics and Genomic Networks 3
- DNA Repair Mechanisms 2
- Ubiquitin and proteasome pathways 2
- Genomics and Chromatin Dynamics 2
- Gene Regulatory Network Analysis 2
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- Cancer Genomics and Diagnostics 3
- Co-authors
- Sascha Sauer (1 shared paper)Florian Uhlitz (1 shared paper)Nils Blüthgen (1 shared paper)Anja Sieber (1 shared paper)Mathew J. Garnett (1 shared paper)Bertram Klinger (1 shared paper)Julio Sáez-Rodríguez (1 shared paper)Martina Klünemann (1 shared paper)
- Journals
- Nature Communications (2 papers)Nucleic Acids Research (2 papers)Molecular Oncology (1 paper)Genome biology (1 paper)EMBO Reports (1 paper)
- Partner nations
- NetherlandsGermanyUnited Kingdom
In The Last Decade
Michaël Schubert
14 papers receiving 1.1k citations
Michaël Schubert's Hit Papers
Peers
Comparison fields: 5 of 99
- Immunology 256
- Cancer Research 149
- Molecular Biology 645
- Oncology 165
- 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-authors
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 | Perturbation-response genes reveal signaling footprints in cancer gene expression Hit paper breakdown → | 2017 | 500 |
| 2 | cGAS–STING drives the IL-6-dependent survival of chromosomally instable cancers Hit paper breakdown → | 2022 | 239 |
| 3 | 2014 | 207 | |
| 4 | 2019 | 64 | |
| 5 | 2014 | 21 | |
| 6 | 2022 | 19 | |
| 7 | 2022 | 18 | |
| 8 | 2020 | 17 | |
| 9 | 2023 | 16 | |
| 10 | 2023 | 8 | |
| 11 | 2019 | 7 | |
| 12 | 2024 | 4 | |
| 13 | 2019 | 3 | |
| 14 | 2021 | 1 |
About Michaël Schubert
Michaël Schubert is a scholar working on Molecular Biology, Cancer Research, Genetics, Cell Biology and Immunology, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Bioinformatics and Genomic Networks (3 papers), DNA Repair Mechanisms (2 papers), Ubiquitin and proteasome pathways (2 papers), Microtubule and mitosis dynamics (2 papers), interferon and immune responses (2 papers), Genomics and Chromatin Dynamics (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Immunology (256 citations), Cancer Research (149 citations), Molecular Biology (645 citations), Oncology (165 citations) and Aging (10 citations). Michaël Schubert has collaborated with scholars based in Netherlands, Germany and United Kingdom. Frequent co-authors include Sascha Sauer, Florian Uhlitz, Nils Blüthgen, Anja Sieber, Mathew J. Garnett, Bertram Klinger, Julio Sáez-Rodríguez, Martina Klünemann, Floris Foijer and Diana C.J. Spierings. Their work appears in journals such as Nature Communications, Nucleic Acids Research, Molecular Oncology, Genome biology and EMBO Reports.
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.