Sascha Kretschmann
Impact in
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- CAR-T cell therapy research
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- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Biosimilars and Bioanalytical Methods
Papers in
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- Immunodeficiency and Autoimmune Disorders 3
- Biosimilars and Bioanalytical Methods 2
- Immunotherapy and Immune Responses 1
- Oncology 4
- CAR-T cell therapy research 4
- Co-authors
- Michael Aigner (6 shared papers)Georg Schett (6 shared papers)Andréas Mackensen (9 shared papers)Fabian Müller (5 shared papers)Simon Völkl (5 shared papers)Jule Taubmann (4 shared papers)Armin Atzinger (3 shared papers)Sebastian Boeltz (3 shared papers)
- Journals
- Blood (2 papers)Lara D. Veeken (2 papers)Nature Medicine (1 paper)Journal for ImmunoTherapy of Cancer (1 paper)Transplantation and Cellular Therapy (1 paper)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Sascha Kretschmann
8 papers receiving 128 citations
Sascha Kretschmann's Hit Papers
Peers
Comparison fields: 5 of 21
- Oncology 92
- Immunology 46
- Genetics 11
- Dermatology 8
- Rheumatology 9
Countries citing papers authored by Sascha Kretschmann
This map shows the geographic impact of Sascha Kretschmann'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 Sascha Kretschmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sascha Kretschmann more than expected).
Fields of papers citing papers by Sascha Kretschmann
This network shows the impact of papers produced by Sascha Kretschmann. 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 Sascha Kretschmann. The network helps show where Sascha Kretschmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Sascha Kretschmann, 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 | 2023 | 62 | |
| 2 | BCMA CAR T cells in a patient with relapsing idiopathic inflammatory myositis after initial and repeat therapy with CD19 CAR T cells Hit paper breakdown → | 2025 | 25 |
| 3 | 2022 | 25 | |
| 4 | 2023 | 9 | |
| 5 | 2020 | 5 | |
| 6 | 2023 | 2 | |
| 7 | 2021 | 1 | |
| 8 | 2022 | 1 | |
| 9 | 2026 | 0 |
About Sascha Kretschmann
Sascha Kretschmann is a scholar working on Immunology, Oncology, Epidemiology, Surgery and Molecular Biology, having authored 9 papers that have together received 130 indexed citations. Recurring topics across this work include CAR-T cell therapy research (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Inflammatory Myopathies and Dermatomyositis (3 papers), Biosimilars and Bioanalytical Methods (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Autoimmune Neurological Disorders and Treatments (1 paper), Immunotherapy and Immune Responses (1 paper) and Muscle and Compartmental Disorders (1 paper). The work is most often cited by research in Oncology (92 citations), Immunology (46 citations), Genetics (11 citations), Dermatology (8 citations) and Rheumatology (9 citations). Sascha Kretschmann has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Michael Aigner, Georg Schett, Andréas Mackensen, Fabian Müller, Simon Völkl, Jule Taubmann, Armin Atzinger, Sebastian Boeltz, Johannes Knitza and Torsten Kuwert. Their work appears in journals such as Blood, Lara D. Veeken, Nature Medicine, Journal for ImmunoTherapy of Cancer and Transplantation and Cellular Therapy.
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.