Anja Feldmann
Impact in
- Oncology top 1%
- CAR-T cell therapy research
- Immunology top 2%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
- Oncology 79
- CAR-T cell therapy research 76
- Immunology 45
- Immunotherapy and Immune Responses 27
- Immune Cell Function and Interaction 14
- T-cell and B-cell Immunology 11
- Co-authors
- Michael BachmannClaudia ArndtStefanie KoristkaMarc CartellieriGerhard EhningerArmin EhningerMarc SchmitzMartin Bornhäuser
- Journals
- Blood (12 papers)International Journal of Molecular Sciences (10 papers)OncoImmunology (7 papers)Cancers (5 papers)Oncotarget (4 papers)
- Partner nations
- GermanyHungaryUnited States
In The Last Decade
Anja Feldmann
93 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 93
- Oncology 1.9k
- Immunology 935
- Hematology 214
- Biomedical Engineering 825
- Radiology, Nuclear Medicine and Imaging 406
Countries citing papers authored by Anja Feldmann
This map shows the geographic impact of Anja Feldmann'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 Anja Feldmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anja Feldmann more than expected).
Fields of papers citing papers by Anja Feldmann
This network shows the impact of papers produced by Anja Feldmann. 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 Anja Feldmann. The network helps show where Anja Feldmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Anja Feldmann, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 12 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 29 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 17 | |
| 10 | 2023 | 3 | |
| 11 | 2022 | 27 | |
| 12 | 2022 | 9 | |
| 13 | 2019 | 37 | |
| 14 | 2019 | 26 | |
| 15 | 2018 | 62 | |
| 16 | 2018 | 14 | |
| 17 | 2018 | 7 | |
| 18 | 2018 | 22 | |
| 19 | 2016 | 202 | |
| 20 | 2014 | 260 |
About Anja Feldmann
Anja Feldmann is a scholar working on Oncology, Immunology, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Genetics, having authored 97 papers that have together received 2.6k indexed citations. Recurring topics across this work include CAR-T cell therapy research (76 papers), Immunotherapy and Immune Responses (27 papers), Nanowire Synthesis and Applications (23 papers), Monoclonal and Polyclonal Antibodies Research (21 papers), Virus-based gene therapy research (14 papers), Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (11 papers) and Viral Infectious Diseases and Gene Expression in Insects (9 papers). The work is most often cited by research in Oncology (1.9k citations), Immunology (935 citations), Hematology (214 citations), Biomedical Engineering (825 citations) and Radiology, Nuclear Medicine and Imaging (406 citations). Anja Feldmann has collaborated with scholars based in Germany, Hungary and United States. Frequent co-authors include Michael Bachmann, Claudia Arndt, Stefanie Koristka, Marc Cartellieri, Gerhard Ehninger, Armin Ehninger, Marc Schmitz, Martin Bornhäuser, Malte von Bonin and Ralf Bergmann. Their work appears in journals such as Blood, International Journal of Molecular Sciences, OncoImmunology, Cancers and Oncotarget.
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.