Bénédikt Jacobs
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune cells in cancer
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 31
- Immune Cell Function and Interaction 25
- Immunotherapy and Immune Responses 15
- T-cell and B-cell Immunology 13
- Oncology 14
- CAR-T cell therapy research 6
- Cancer Immunotherapy and Biomarkers 6
- Co-authors
- Evelyn Ullrich (13 shared papers)M. Schott (11 shared papers)Claudia Papewalis (11 shared papers)Karl‐Johan Malmberg (6 shared papers)Jochen Seißler (5 shared papers)Sven Schinner (7 shared papers)Aline Pfefferle (4 shared papers)Werner A. Scherbaum (6 shared papers)
In The Last Decade
Bénédikt Jacobs
33 papers receiving 633 citations
Peers
Comparison fields: 5 of 83
- Immunology 439
- Oncology 245
- Hematology 63
- Pathology and Forensic Medicine 41
- Cancer Research 33
Countries citing papers authored by Bénédikt Jacobs
This map shows the geographic impact of Bénédikt Jacobs'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 Bénédikt Jacobs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bénédikt Jacobs more than expected).
Fields of papers citing papers by Bénédikt Jacobs
This network shows the impact of papers produced by Bénédikt Jacobs. 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 Bénédikt Jacobs. The network helps show where Bénédikt Jacobs may publish in the future.
Co-authors
The 25 scholars most cited alongside Bénédikt Jacobs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 89 | |
| 2 | 2016 | 47 | |
| 3 | 2020 | 43 | |
| 4 | 2020 | 42 | |
| 5 | 2008 | 39 | |
| 6 | 2019 | 37 | |
| 7 | 2018 | 28 | |
| 8 | 2008 | 26 | |
| 9 | 2012 | 26 | |
| 10 | 2012 | 25 | |
| 11 | 2008 | 23 | |
| 12 | 2015 | 22 | |
| 13 | 2008 | 21 | |
| 14 | 2007 | 19 | |
| 15 | 2019 | 16 | |
| 16 | 2023 | 16 | |
| 17 | 2021 | 14 | |
| 18 | 2020 | 11 | |
| 19 | 2011 | 11 | |
| 20 | 2021 | 10 |
About Bénédikt Jacobs
Bénédikt Jacobs is a scholar working on Immunology, Oncology, Molecular Biology, Hematology and Pathology and Forensic Medicine, having authored 34 papers that have together received 643 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (25 papers), Immunotherapy and Immune Responses (15 papers), T-cell and B-cell Immunology (13 papers), CAR-T cell therapy research (6 papers), Cancer Immunotherapy and Biomarkers (6 papers), Lymphoma Diagnosis and Treatment (4 papers), Hematopoietic Stem Cell Transplantation (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Immunology (439 citations), Oncology (245 citations), Hematology (63 citations), Pathology and Forensic Medicine (41 citations) and Cancer Research (33 citations). Bénédikt Jacobs has collaborated with scholars based in Germany, Norway and France. Frequent co-authors include Evelyn Ullrich, M. Schott, Claudia Papewalis, Karl‐Johan Malmberg, Jochen Seißler, Sven Schinner, Aline Pfefferle, Werner A. Scherbaum, Ebba Sohlberg and Thomas Baehring. Their work appears in journals such as Frontiers in Immunology, Hormone and Metabolic Research, The Journal of Immunology, Endocrinology and Journal of Visualized Experiments.
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.