Sabine Claßen
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
- Immunology 10
- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 4
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- TGF-β signaling in diseases 2
- Molecular Biology Techniques and Applications 2
- Co-authors
- Joachim L. Schultze (15 shared papers)Marc Beyer (10 shared papers)Percy A. Knolle (4 shared papers)Martin R. Weihrauch (3 shared papers)Elmar Endl (3 shared papers)Matthias Kochanek (2 shared papers)Thomas Giese (2 shared papers)Svenja Debey (3 shared papers)
- Journals
- Blood (3 papers)The Journal of Immunology (2 papers)Cancer Research (2 papers)Biomarkers in Medicine (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- GermanyUnited StatesCroatia
In The Last Decade
Sabine Claßen
17 papers receiving 989 citations
Peers
Comparison fields: 5 of 80
- Immunology 636
- Biological Psychiatry 58
- Hematology 153
- Oncology 287
- Behavioral Neuroscience 22
Countries citing papers authored by Sabine Claßen
This map shows the geographic impact of Sabine Claßen'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 Sabine Claßen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabine Claßen more than expected).
Fields of papers citing papers by Sabine Claßen
This network shows the impact of papers produced by Sabine Claßen. 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 Sabine Claßen. The network helps show where Sabine Claßen may publish in the future.
Co-authors
The 25 scholars most cited alongside Sabine Claßen, 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 | 2006 | 254 | |
| 2 | 2006 | 187 | |
| 3 | 2007 | 105 | |
| 4 | 2006 | 84 | |
| 5 | 2007 | 66 | |
| 6 | 2010 | 63 | |
| 7 | 2011 | 51 | |
| 8 | 2009 | 32 | |
| 9 | 2007 | 32 | |
| 10 | 2011 | 29 | |
| 11 | 2010 | 22 | |
| 12 | 2012 | 19 | |
| 13 | 2009 | 19 | |
| 14 | 2009 | 12 | |
| 15 | 2010 | 11 | |
| 16 | 2008 | 8 | |
| 17 | 2016 | 2 |
About Sabine Claßen
Sabine Claßen is a scholar working on Immunology, Molecular Biology, Oncology, Cancer Research and Pathology and Forensic Medicine, having authored 17 papers that have together received 996 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), TGF-β signaling in diseases (2 papers), CAR-T cell therapy research (2 papers), Molecular Biology Techniques and Applications (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Immunology (636 citations), Biological Psychiatry (58 citations), Hematology (153 citations), Oncology (287 citations) and Behavioral Neuroscience (22 citations). Sabine Claßen has collaborated with scholars based in Germany, United States and Croatia. Frequent co-authors include Joachim L. Schultze, Marc Beyer, Percy A. Knolle, Martin R. Weihrauch, Elmar Endl, Matthias Kochanek, Thomas Giese, Svenja Debey, Thomas Zander and Svenja Debey‐Pascher. Their work appears in journals such as Blood, The Journal of Immunology, Cancer Research, Biomarkers in Medicine and Clinical Cancer Research.
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.