Michael Bartoschek
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
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- TGF-β signaling in diseases 2
- vaccines and immunoinformatics approaches 2
- Single-cell and spatial transcriptomics 1
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- Immunotherapy and Immune Responses 2
- Co-authors
- Kristian Pietras (7 shared papers)Matteo Bocci (3 shared papers)David Lindgren (2 shared papers)Jonas Bergh (2 shared papers)John Lövrot (2 shared papers)Christer Larsson (2 shared papers)Göran Karlsson (1 shared paper)Chris D. Madsen (1 shared paper)
In The Last Decade
Michael Bartoschek
10 papers receiving 883 citations
Michael Bartoschek's Hit Papers
Peers
Comparison fields: 5 of 71
- Cancer Research 280
- Oncology 498
- Immunology 234
- Molecular Biology 499
- Immunology and Allergy 28
Countries citing papers authored by Michael Bartoschek
This map shows the geographic impact of Michael Bartoschek'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 Michael Bartoschek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Bartoschek more than expected).
Fields of papers citing papers by Michael Bartoschek
This network shows the impact of papers produced by Michael Bartoschek. 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 Michael Bartoschek. The network helps show where Michael Bartoschek may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Bartoschek, 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 | Spatially and functionally distinct subclasses of breast cancer-associated fibroblasts revealed by single cell RNA sequencing Hit paper breakdown → | 2018 | 561 |
| 2 | 2016 | 77 | |
| 3 | 2018 | 51 | |
| 4 | 2015 | 48 | |
| 5 | 2018 | 38 | |
| 6 | 2018 | 35 | |
| 7 | 2018 | 34 | |
| 8 | 2016 | 34 | |
| 9 | 1970 | 16 | |
| 10 | Time relationships between injection of antigen and adjuvant. II. Immunosuppression induced by Bordetella pertussis vaccine when given before secondary antigenic stimulation. | 1972 | 3 |
| 11 | 2013 | 1 |
About Michael Bartoschek
Michael Bartoschek is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Microbiology, having authored 11 papers that have together received 898 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Immunotherapy and Immune Responses (2 papers), Cancer-related molecular mechanisms research (2 papers), vaccines and immunoinformatics approaches (2 papers), Bacterial Infections and Vaccines (2 papers), Single-cell and spatial transcriptomics (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Cancer Research (280 citations), Oncology (498 citations), Immunology (234 citations), Molecular Biology (499 citations) and Immunology and Allergy (28 citations). Michael Bartoschek has collaborated with scholars based in Sweden, Germany and Poland. Frequent co-authors include Kristian Pietras, Matteo Bocci, David Lindgren, Jonas Bergh, John Lövrot, Christer Larsson, Göran Karlsson, Chris D. Madsen, Gyula Pekár and Nikolay Oskolkov. Their work appears in journals such as Cancer Research, Matrix Biology, Infection and Immunity, Nature Communications and OncoImmunology.
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.