Michele Bauer
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- IL-33, ST2, and ILC Pathways
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- CAR-T cell therapy research
Papers in
- Oncology 8
- CAR-T cell therapy research 4
- Cancer Immunotherapy and Biomarkers 3
- Cytokine Signaling Pathways and Interactions 2
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- Immune Cell Function and Interaction 3
- T-cell and B-cell Immunology 2
- Co-authors
- Susan D. Spencer (1 shared paper)Anne Ryan (1 shared paper)Francesco Di Marco (1 shared paper)Jeff Hooley (1 shared paper)Michel Aguet (1 shared paper)Sharon Pitts-Meek (1 shared paper)Verna C. Gibbs (1 shared paper)Paul‐Joseph Aspuria (5 shared papers)
- Journals
- Cancer Research (3 papers)The Journal of Experimental Medicine (1 paper)Asia-Pacific Journal of Teacher Education (1 paper)Journal of Biological Chemistry (1 paper)Science Translational Medicine (1 paper)
- Partner nations
- United StatesNetherlandsSwitzerland
In The Last Decade
Michele Bauer
9 papers receiving 489 citations
Peers
Comparison fields: 5 of 61
- Immunology 290
- Oncology 163
- Genetics 96
- Radiology, Nuclear Medicine and Imaging 68
- Molecular Biology 137
Countries citing papers authored by Michele Bauer
This map shows the geographic impact of Michele Bauer'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 Michele Bauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele Bauer more than expected).
Fields of papers citing papers by Michele Bauer
This network shows the impact of papers produced by Michele Bauer. 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 Michele Bauer. The network helps show where Michele Bauer may publish in the future.
Co-authors
The 25 scholars most cited alongside Michele Bauer, 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 | 1998 | 315 | |
| 2 | 2010 | 71 | |
| 3 | 2021 | 65 | |
| 4 | 2018 | 45 | |
| 5 | 2021 | 14 | |
| 6 | 2014 | 2 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 0 |
About Michele Bauer
Michele Bauer is a scholar working on Oncology, Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 10 papers that have together received 515 indexed citations. Recurring topics across this work include CAR-T cell therapy research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Immunology (290 citations), Oncology (163 citations), Genetics (96 citations), Radiology, Nuclear Medicine and Imaging (68 citations) and Molecular Biology (137 citations). Michele Bauer has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Susan D. Spencer, Anne Ryan, Francesco Di Marco, Jeff Hooley, Michel Aguet, Sharon Pitts-Meek, Verna C. Gibbs, Paul‐Joseph Aspuria, Deepti Rokkam and Martin Oft. Their work appears in journals such as Cancer Research, The Journal of Experimental Medicine, Asia-Pacific Journal of Teacher Education, Journal of Biological Chemistry and Science Translational Medicine.
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.