Peter Brossart
- Immunology top 0.1%
- Immunotherapy and Immune Responses 106
- Immune Cell Function and Interaction 43
- T-cell and B-cell Immunology 34
- Oncology top 0.5%
- Cancer Immunotherapy and Biomarkers 45
- CAR-T cell therapy research 34
- Hematology top 0.5%
- Chronic Myeloid Leukemia Treatments 18
- Genetics top 1%
- Molecular Biology top 1%
- RNA Interference and Gene Delivery 23
- vaccines and immunoinformatics approaches 23
- Co-authors
- Frank GrünebachLothar KanzWolfram BruggerAnnkristin HeineAlessio NencioniMichael J. BevanVolker L. ReichardtGernot Stuhler
- Cited by
- ImmunologyOncologyHematology
- Journals
- Blood (48 papers)Journal of Clinical Oncology (13 papers)Clinical Cancer Research (11 papers)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Peter Brossart
281 papers receiving 12.1k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Immunology 6.6k
- Oncology 4.5k
- Hematology 1.5k
- Genetics 890
- Molecular Biology 4.9k
Countries citing papers authored by Peter Brossart
This map shows the geographic impact of Peter Brossart'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 Peter Brossart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Brossart more than expected).
Fields of papers citing papers by Peter Brossart
This network shows the impact of papers produced by Peter Brossart. 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 Peter Brossart. The network helps show where Peter Brossart may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter Brossart, 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 | 2025 | 0 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 5 | |
| 9 | 2021 | 36 | |
| 10 | 2021 | 4 | |
| 11 | 2019 | 178 | |
| 12 | 2019 | 115 | |
| 13 | 2018 | 58 | |
| 14 | 2015 | 123 | |
| 15 | 2015 | 167 | |
| 16 | 2007 | 114 | |
| 17 | 2006 | 185 | |
| 18 | 2005 | 48 | |
| 19 | Expression of her-2/neu on acute lymphoblastic leukemias: implications for the development of immunotherapeutic approaches. | 2003 | 19 |
| 20 | 2003 | 46 |
About Peter Brossart
Peter Brossart is a scholar working on Immunology, Hematology, Oncology, Genetics and Rheumatology, having authored 289 papers that have together received 12.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (106 papers), Cancer Immunotherapy and Biomarkers (45 papers), Immune Cell Function and Interaction (43 papers), T-cell and B-cell Immunology (34 papers), CAR-T cell therapy research (34 papers), RNA Interference and Gene Delivery (23 papers), vaccines and immunoinformatics approaches (23 papers) and Chronic Myeloid Leukemia Treatments (18 papers). The work is most often cited by research in Immunology (6.6k citations), Oncology (4.5k citations), Hematology (1.5k citations), Genetics (890 citations) and Molecular Biology (4.9k citations). Peter Brossart has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Frank Grünebach, Lothar Kanz, Wolfram Brugger, Annkristin Heine, Alessio Nencioni, Michael J. Bevan, Volker L. Reichardt, Gernot Stuhler, Markus M. Weck and Martin Müller. Their work appears in journals such as Blood, Journal of Clinical Oncology, Clinical Cancer Research, Cancer Immunology Immunotherapy and Annals of the Rheumatic Diseases.
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.