Michael B. Brenner
Impact in
- Immunology top 0.01%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Immunology and Allergy top 0.1%
Papers in
- Immunology 176
- Immune Cell Function and Interaction 129
- T-cell and B-cell Immunology 104
- Immunotherapy and Immune Responses 51
- Immune Response and Inflammation 22
- Galectins and Cancer Biology 12
- Co-authors
- Steven A. Porcelli (25 shared papers)Craig T. Morita (23 shared papers)Manfred Brigl (10 shared papers)Kevin Wei (8 shared papers)Soumya Raychaudhuri (13 shared papers)Kamil Slowikowski (6 shared papers)Fan Zhang (4 shared papers)Ilya Korsunsky (3 shared papers)
- Journals
- The Journal of Experimental Medicine (25 papers)Proceedings of the National Academy of Sciences (23 papers)The Journal of Immunology (14 papers)Nature (14 papers)Science (12 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Michael B. Brenner
236 papers receiving 35.4k citations
Michael B. Brenner's Hit Papers
Peers
Comparison fields: 5 of 173
- Immunology 22.1k
- Immunology and Allergy 1.7k
- Oncology 4.4k
- Infectious Diseases 2.7k
- Epidemiology 4.1k
Countries citing papers authored by Michael B. Brenner
This map shows the geographic impact of Michael B. Brenner'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 B. Brenner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael B. Brenner more than expected).
Fields of papers citing papers by Michael B. Brenner
This network shows the impact of papers produced by Michael B. Brenner. 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 B. Brenner. The network helps show where Michael B. Brenner may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael B. Brenner, 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 238 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fast, sensitive and accurate integration of single-cell data with Harmony Hit paper breakdown → | 2019 | 4573 |
| 2 | Adhesion between epithelial cells and T lymphocytes mediated by E-cadherin and the αEβ7 integrin Hit paper breakdown → | 1994 | 947 |
| 3 | Identification of a putative second T-cell receptor Hit paper breakdown → | 1986 | 851 |
| 4 | Natural and synthetic non-peptide antigens recognized by human γδ T cells Hit paper breakdown → | 1995 | 849 |
| 5 | Recognition of a lipid antigen by CD1-restricted αβ+ T cells Hit paper breakdown → | 1994 | 833 |
| 6 | CD1: Antigen Presentation and T Cell Function Hit paper breakdown → | 2004 | 830 |
| 7 | M. tuberculosis and M. leprae Translocate from the Phagolysosome to the Cytosol in Myeloid Cells Hit paper breakdown → | 2007 | 741 |
| 8 | Functionally Distinct Subsets of CD1d-restricted Natural Killer T Cells Revealed by CD1d Tetramer Staining Hit paper breakdown → | 2002 | 628 |
| 9 | CD1-Restricted T Cell Recognition of Microbial Lipoglycan Antigens Hit paper breakdown → | 1995 | 627 |
| 10 | Mast Cells: A Cellular Link Between Autoantibodies and Inflammatory Arthritis Hit paper breakdown → | 2002 | 624 |
| 11 | Analysis of T cell antigen receptor (TCR) expression by human peripheral blood CD4-8- alpha/beta T cells demonstrates preferential use of several V beta genes and an invariant TCR alpha chain. Hit paper breakdown → | 1993 | 612 |
| 12 | Arthritis Critically Dependent on Innate Immune System Players Hit paper breakdown → | 2002 | 567 |
| 13 | Lymphocytes bearing antigen-specific γδ T-cell receptors accumulate in human infectious disease lesions Hit paper breakdown → | 1989 | 518 |
| 14 | 1992 | 492 | |
| 15 | 1989 | 472 | |
| 16 | 1989 | 466 | |
| 17 | Metabolic reprogramming of natural killer cells in obesity limits antitumor responses Hit paper breakdown → | 2018 | 464 |
| 18 | 1994 | 460 | |
| 19 | 1990 | 449 | |
| 20 | 1997 | 428 |
About Michael B. Brenner
Michael B. Brenner is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology and Epidemiology, having authored 238 papers that have together received 36.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (129 papers), T-cell and B-cell Immunology (104 papers), Immunotherapy and Immune Responses (51 papers), Monoclonal and Polyclonal Antibodies Research (41 papers), Cell Adhesion Molecules Research (24 papers), Immune Response and Inflammation (22 papers), CAR-T cell therapy research (16 papers) and Galectins and Cancer Biology (12 papers). The work is most often cited by research in Immunology (22.1k citations), Immunology and Allergy (1.7k citations), Oncology (4.4k citations), Infectious Diseases (2.7k citations) and Epidemiology (4.1k citations). Michael B. Brenner has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Steven A. Porcelli, Craig T. Morita, Manfred Brigl, Kevin Wei, Soumya Raychaudhuri, Kamil Slowikowski, Fan Zhang, Ilya Korsunsky, Yuriy Baglaenko and Po‐Ru Loh. Their work appears in journals such as The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences, The Journal of Immunology, Nature and Science.
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.