Carsten Reinhardt
- Oncology top 2%
- CAR-T cell therapy research 15
- Cancer Immunotherapy and Biomarkers 12
- Peptidase Inhibition and Analysis 3
- Immunology top 5%
- Immunotherapy and Immune Responses 22
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 5
-
- Monoclonal and Polyclonal Antibodies Research 15
- Hematology top 5%
- Pathology and Forensic Medicine top 10%
-
- vaccines and immunoinformatics approaches 7
- Co-authors
- Patrick A. BaeuerlePeter KuferMargit SchmidtGerhard ZugmaierAndreas ViardotAndreas WolfRalf C. BargouRichard Noppeney
- Journals
- Science (1 paper)The Journal of Experimental Medicine (1 paper)Journal of Clinical Oncology (10 papers)
- Partner nations
- GermanyUnited StatesHungary
In The Last Decade
Carsten Reinhardt
33 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Oncology 1.0k
- Immunology 723
- Radiology, Nuclear Medicine and Imaging 655
- Hematology 171
- Pathology and Forensic Medicine 200
Countries citing papers authored by Carsten Reinhardt
This map shows the geographic impact of Carsten Reinhardt'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 Carsten Reinhardt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carsten Reinhardt more than expected).
Fields of papers citing papers by Carsten Reinhardt
This network shows the impact of papers produced by Carsten Reinhardt. 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 Carsten Reinhardt. The network helps show where Carsten Reinhardt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carsten Reinhardt, 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 | 2022 | 3 | |
| 3 | 2019 | 7 | |
| 4 | 2018 | 1 | |
| 5 | 2018 | 0 | |
| 6 | 2017 | 1 | |
| 7 | 2014 | 39 | |
| 8 | 2012 | 32 | |
| 9 | 2010 | 29 | |
| 10 | 2009 | 436 | |
| 11 | 2008 | 6 | |
| 12 | Tumor Regression in Cancer Patients by Very Low Doses of a T Cell–Engaging Antibodybreakdown → | 2008 | 798 |
| 13 | 2007 | 1 | |
| 14 | 2006 | 4 | |
| 15 | 1998 | 9 | |
| 16 | 1995 | 39 | |
| 17 | MHC class I allorecognition: the likes and dislikes of CTL and NK cells. | 1994 | 4 |
| 18 | 1993 | 26 | |
| 19 | 1992 | 44 | |
| 20 | 1991 | 16 |
About Carsten Reinhardt
Carsten Reinhardt is a scholar working on Immunology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 37 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (22 papers), CAR-T cell therapy research (15 papers), Monoclonal and Polyclonal Antibodies Research (15 papers), Cancer Immunotherapy and Biomarkers (12 papers), vaccines and immunoinformatics approaches (7 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (5 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Oncology (1.0k citations), Immunology (723 citations) and Radiology, Nuclear Medicine and Imaging (655 citations). Carsten Reinhardt has collaborated with scholars based in Germany, United States and Hungary. Frequent co-authors include Patrick A. Baeuerle, Peter Kufer, Margit Schmidt, Gerhard Zugmaier, Andreas Viardot, Andreas Wolf, Ralf C. Bargou, Richard Noppeney, Eugen Leo and Hermann Einsele. Their work appears in journals such as Science, The Journal of Experimental Medicine and Journal of Clinical Oncology.
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.