Michael Bscheider
Impact in
- Immunology top 2%
- interferon and immune responses
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
Papers in
- Immunology 17
- Immune Cell Function and Interaction 11
- Immunotherapy and Immune Responses 6
- interferon and immune responses 5
- T-cell and B-cell Immunology 3
- Oncology 8
- Cancer Cells and Metastasis 3
- CAR-T cell therapy research 3
- Co-authors
- Hendrik Poeck (11 shared papers)Gunther Hartmann (3 shared papers)Jürgen Ruland (4 shared papers)Stefan Endres (2 shared papers)Nicole Hannesschläger (2 shared papers)Olaf Groß (2 shared papers)Jürg Tschopp (2 shared papers)Attila Mócsai (1 shared paper)
- Journals
- Blood (4 papers)Nature (2 papers)iScience (1 paper)Scientific Reports (1 paper)Molecular Pharmaceutics (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Michael Bscheider
22 papers receiving 2.2k citations
Michael Bscheider's Hit Papers
Peers
Comparison fields: 5 of 92
- Immunology 1.3k
- Hematology 273
- Infectious Diseases 288
- Molecular Biology 1.0k
- Genetics 104
Countries citing papers authored by Michael Bscheider
This map shows the geographic impact of Michael Bscheider'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 Bscheider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Bscheider more than expected).
Fields of papers citing papers by Michael Bscheider
This network shows the impact of papers produced by Michael Bscheider. 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 Bscheider. The network helps show where Michael Bscheider may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Bscheider, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Syk kinase signalling couples to the Nlrp3 inflammasome for anti-fungal host defence Hit paper breakdown → | 2009 | 742 |
| 2 | 2009 | 422 | |
| 3 | 2014 | 290 | |
| 4 | 2008 | 240 | |
| 5 | 2016 | 99 | |
| 6 | 2020 | 62 | |
| 7 | 2015 | 60 | |
| 8 | 2017 | 56 | |
| 9 | 2024 | 46 | |
| 10 | 2024 | 43 | |
| 11 | 2023 | 43 | |
| 12 | 2019 | 36 | |
| 13 | 2017 | 24 | |
| 14 | 2024 | 14 | |
| 15 | 2024 | 10 | |
| 16 | 2019 | 10 | |
| 17 | 2020 | 9 | |
| 18 | 2015 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2014 | 1 |
About Michael Bscheider
Michael Bscheider is a scholar working on Immunology, Oncology, Molecular Biology, Biomedical Engineering and Infectious Diseases, having authored 22 papers that have together received 2.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), Immunotherapy and Immune Responses (6 papers), interferon and immune responses (5 papers), Single-cell and spatial transcriptomics (3 papers), Cancer Cells and Metastasis (3 papers), CAR-T cell therapy research (3 papers), T-cell and B-cell Immunology (3 papers) and 3D Printing in Biomedical Research (3 papers). The work is most often cited by research in Immunology (1.3k citations), Hematology (273 citations), Infectious Diseases (288 citations), Molecular Biology (1.0k citations) and Genetics (104 citations). Michael Bscheider has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Hendrik Poeck, Gunther Hartmann, Jürgen Ruland, Stefan Endres, Nicole Hannesschläger, Olaf Groß, Jürg Tschopp, Attila Mócsai, Catherine Dostert and Edina Schweighoffer. Their work appears in journals such as Blood, Nature, iScience, Scientific Reports and Molecular Pharmaceutics.
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.