Uta E. Höpken
Impact in
- Immunology top 0.5%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Complement system in diseases
- Oncology top 2%
- Chemokine receptors and signaling
- CAR-T cell therapy research
Papers in
- Immunology 59
- Immunotherapy and Immune Responses 33
- T-cell and B-cell Immunology 32
- Immune Cell Function and Interaction 23
- Immune Response and Inflammation 6
- Oncology 41
- Chemokine receptors and signaling 17
- CAR-T cell therapy research 16
- Co-authors
- Martin LippCraig GérardNorma P. GerardBao LuArmin RehmAlfonso Martin‐FontechaAntonio LanzavecchiaSilvia Sebastiani
- Journals
- European Journal of Immunology (6 papers)Blood (6 papers)Journal of Leukocyte Biology (4 papers)The Journal of Experimental Medicine (3 papers)Immunity (3 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Uta E. Höpken
77 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Immunology 3.0k
- Oncology 1.4k
- Immunology and Allergy 211
- Neurology 198
- Genetics 245
Countries citing papers authored by Uta E. Höpken
This map shows the geographic impact of Uta E. Höpken'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 Uta E. Höpken with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uta E. Höpken more than expected).
Fields of papers citing papers by Uta E. Höpken
This network shows the impact of papers produced by Uta E. Höpken. 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 Uta E. Höpken. The network helps show where Uta E. Höpken may publish in the future.
Co-authors
The 25 scholars most cited alongside Uta E. Höpken, 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 | 34 | |
| 2 | 2022 | 2 | |
| 3 | 2022 | 22 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 12 | |
| 6 | 2021 | 28 | |
| 7 | 2021 | 9 | |
| 8 | 2021 | 51 | |
| 9 | 2020 | 13 | |
| 10 | 2020 | 34 | |
| 11 | 2020 | 15 | |
| 12 | 2016 | 31 | |
| 13 | 2015 | 24 | |
| 14 | 2014 | 56 | |
| 15 | 2011 | 19 | |
| 16 | 2008 | 118 | |
| 17 | 2007 | 30 | |
| 18 | 2006 | 52 | |
| 19 | 2003 | 17 | |
| 20 | 2002 | 65 |
About Uta E. Höpken
Uta E. Höpken is a scholar working on Immunology, Oncology, Immunology and Allergy, Hematology and Pathology and Forensic Medicine, having authored 79 papers that have together received 4.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (33 papers), T-cell and B-cell Immunology (32 papers), Immune Cell Function and Interaction (23 papers), Chemokine receptors and signaling (17 papers), CAR-T cell therapy research (16 papers), Lymphoma Diagnosis and Treatment (7 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers) and Immune Response and Inflammation (6 papers). The work is most often cited by research in Immunology (3.0k citations), Oncology (1.4k citations), Immunology and Allergy (211 citations), Neurology (198 citations) and Genetics (245 citations). Uta E. Höpken has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Martin Lipp, Craig Gérard, Norma P. Gerard, Bao Lu, Armin Rehm, Alfonso Martin‐Fontecha, Antonio Lanzavecchia, Silvia Sebastiani, Mariagrazia Uguccioni and Federica Sallusto. Their work appears in journals such as European Journal of Immunology, Blood, Journal of Leukocyte Biology, The Journal of Experimental Medicine and Immunity.
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.