Gerulf Hänel
Impact in
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
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- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 14
- CAR-T cell therapy research 13
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- Immunotherapy and Immune Responses 4
- Immune Cell Function and Interaction 3
- Co-authors
- Marion Subklewe (10 shared papers)Veit Bücklein (7 shared papers)Felix S. Lichtenegger (1 shared paper)Katja Petry (1 shared paper)Michael von Bergwelt‐Baildon (1 shared paper)Hendrik Schulze‐Koops (1 shared paper)Alla Skapenko (1 shared paper)Thomas Dörner (1 shared paper)
- Journals
- Blood (8 papers)Cancer Immunology Immunotherapy (2 papers)European Journal of Cancer (1 paper)Biomarker Research (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Gerulf Hänel
15 papers receiving 106 citations
Peers
Comparison fields: 5 of 27
- Immunology 51
- Oncology 42
- Hematology 16
- Radiology, Nuclear Medicine and Imaging 19
- Rheumatology 11
Countries citing papers authored by Gerulf Hänel
This map shows the geographic impact of Gerulf Hänel'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 Gerulf Hänel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerulf Hänel more than expected).
Fields of papers citing papers by Gerulf Hänel
This network shows the impact of papers produced by Gerulf Hänel. 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 Gerulf Hänel. The network helps show where Gerulf Hänel may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerulf Hänel, 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 | 2024 | 39 | |
| 2 | 2021 | 18 | |
| 3 | 2020 | 18 | |
| 4 | 2022 | 12 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 2 | |
| 7 | 2021 | 2 | |
| 8 | 2020 | 2 | |
| 9 | 2023 | 1 | |
| 10 | 2021 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2021 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2026 | 0 | |
| 17 | 2025 | 0 |
About Gerulf Hänel
Gerulf Hänel is a scholar working on Oncology, Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 17 papers that have together received 107 indexed citations. Recurring topics across this work include CAR-T cell therapy research (13 papers), Immunotherapy and Immune Responses (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Immune Cell Function and Interaction (3 papers), CRISPR and Genetic Engineering (2 papers), Systemic Sclerosis and Related Diseases (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Immunology (51 citations), Oncology (42 citations), Hematology (16 citations), Radiology, Nuclear Medicine and Imaging (19 citations) and Rheumatology (11 citations). Gerulf Hänel has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Marion Subklewe, Veit Bücklein, Felix S. Lichtenegger, Katja Petry, Michael von Bergwelt‐Baildon, Hendrik Schulze‐Koops, Alla Skapenko, Thomas Dörner, Franziska Szelinski and Gerhard Zugmaier. Their work appears in journals such as Blood, Cancer Immunology Immunotherapy, European Journal of Cancer, Biomarker Research and Frontiers in Immunology.
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.