Jan Eckmann
Impact in
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Hematology top 10%
- Multiple Myeloma Research and Treatments
Papers in
- Oncology 10
- CAR-T cell therapy research 9
- Cancer Immunotherapy and Biomarkers 2
-
- Multiple Myeloma Research and Treatments 4
- Acute Myeloid Leukemia Research 2
- Co-authors
- Carola Hermine Ries (1 shared paper)Falk Nimmerjahn (1 shared paper)Sabine Hoves (1 shared paper)Gordon F. Heidkamp (1 shared paper)Bruno C. Medeiros (1 shared paper)Marco Berrera (1 shared paper)Vaios Karanikas (1 shared paper)Koorosh Korfi (2 shared papers)
- Journals
- Blood (4 papers)Frontiers in Immunology (2 papers)Nature Cancer (1 paper)Cancer Research (1 paper)Nature Medicine (1 paper)
- Partner nations
- SwitzerlandGermanySpain
In The Last Decade
Jan Eckmann
17 papers receiving 520 citations
Peers
Comparison fields: 5 of 48
- Oncology 276
- Hematology 111
- Immunology 189
- Radiology, Nuclear Medicine and Imaging 132
- Molecular Biology 110
Countries citing papers authored by Jan Eckmann
This map shows the geographic impact of Jan Eckmann'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 Jan Eckmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Eckmann more than expected).
Fields of papers citing papers by Jan Eckmann
This network shows the impact of papers produced by Jan Eckmann. 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 Jan Eckmann. The network helps show where Jan Eckmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Eckmann, 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 | 2020 | 170 | |
| 2 | 2022 | 86 | |
| 3 | 2020 | 77 | |
| 4 | 2021 | 59 | |
| 5 | 2024 | 27 | |
| 6 | 2020 | 25 | |
| 7 | 2024 | 20 | |
| 8 | 2022 | 19 | |
| 9 | 2021 | 16 | |
| 10 | 2023 | 8 | |
| 11 | 2022 | 7 | |
| 12 | 2024 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2026 | 4 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 1 |
About Jan Eckmann
Jan Eckmann is a scholar working on Oncology, Hematology, Radiology, Nuclear Medicine and Imaging, Immunology and Genetics, having authored 17 papers that have together received 534 indexed citations. Recurring topics across this work include CAR-T cell therapy research (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Multiple Myeloma Research and Treatments (4 papers), Acute Myeloid Leukemia Research (2 papers), Immunotherapy and Immune Responses (2 papers), T-cell and B-cell Immunology (2 papers), Melanoma and MAPK Pathways (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Oncology (276 citations), Hematology (111 citations), Immunology (189 citations), Radiology, Nuclear Medicine and Imaging (132 citations) and Molecular Biology (110 citations). Jan Eckmann has collaborated with scholars based in Switzerland, Germany and Spain. Frequent co-authors include Carola Hermine Ries, Falk Nimmerjahn, Sabine Hoves, Gordon F. Heidkamp, Bruno C. Medeiros, Marco Berrera, Vaios Karanikas, Koorosh Korfi, Christian Georg Klein and Maria Amann. Their work appears in journals such as Blood, Frontiers in Immunology, Nature Cancer, Cancer Research and Nature Medicine.
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.