Renata Stripecke
Impact in
- Immunology top 2%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Genetics top 2%
- Virus-based gene therapy research
Papers in
- Immunology 37
- Immunotherapy and Immune Responses 29
- Immune Cell Function and Interaction 15
- T-cell and B-cell Immunology 6
- Genetics 37
- Virus-based gene therapy research 36
- Co-authors
- Matthias W. HentzeDonald B. KohnDianne C. SkeltonNicola K. GrayHans E. JohanssonB. GoossenN SatakeStephanie Halene
- Journals
- Human Gene Therapy (7 papers)Blood (7 papers)Frontiers in Immunology (4 papers)Vaccine (3 papers)Gene Therapy (3 papers)
- Partner nations
- GermanyUnited StatesSweden
In The Last Decade
Renata Stripecke
72 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 105
- Immunology 960
- Genetics 1.0k
- Oncology 1.0k
- Hematology 327
- Molecular Biology 1.6k
Countries citing papers authored by Renata Stripecke
This map shows the geographic impact of Renata Stripecke'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 Renata Stripecke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renata Stripecke more than expected).
Fields of papers citing papers by Renata Stripecke
This network shows the impact of papers produced by Renata Stripecke. 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 Renata Stripecke. The network helps show where Renata Stripecke may publish in the future.
Co-authors
The 25 scholars most cited alongside Renata Stripecke, 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 | 2023 | 12 | |
| 2 | 2021 | 4 | |
| 3 | 2020 | 50 | |
| 4 | 2020 | 26 | |
| 5 | 2019 | 9 | |
| 6 | 2018 | 142 | |
| 7 | 2017 | 18 | |
| 8 | 2017 | 15 | |
| 9 | 2013 | 21 | |
| 10 | 2013 | 12 | |
| 11 | 2013 | 26 | |
| 12 | 2012 | 15 | |
| 13 | 2011 | 15 | |
| 14 | 2008 | 14 | |
| 15 | 2008 | 19 | |
| 16 | 2006 | 160 | |
| 17 | 2002 | 33 | |
| 18 | 2002 | 41 | |
| 19 | 1999 | 285 | |
| 20 | 1998 | 34 |
About Renata Stripecke
Renata Stripecke is a scholar working on Immunology, Genetics, Oncology, Epidemiology and Molecular Biology, having authored 74 papers that have together received 3.0k indexed citations. Recurring topics across this work include Virus-based gene therapy research (36 papers), CAR-T cell therapy research (31 papers), Immunotherapy and Immune Responses (29 papers), Cytomegalovirus and herpesvirus research (16 papers), RNA Interference and Gene Delivery (15 papers), Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (6 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Immunology (960 citations), Genetics (1.0k citations), Oncology (1.0k citations), Hematology (327 citations) and Molecular Biology (1.6k citations). Renata Stripecke has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Matthias W. Hentze, Donald B. Kohn, Dianne C. Skelton, Nicola K. Gray, Hans E. Johansson, B. Goossen, N Satake, Stephanie Halene, Noriyuki Kasahara and Richard C. Koya. Their work appears in journals such as Human Gene Therapy, Blood, Frontiers in Immunology, Vaccine and Gene Therapy.
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.