Renata Stripecke

4.1k citations
74 papers · 3.0k indexed · h-index 28

Impact in

  • Immunology top 2%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
  • Genetics top 2%
    • Virus-based gene therapy research

Papers in

    • Immunotherapy and Immune Responses 29
    • Immune Cell Function and Interaction 15
    • T-cell and B-cell Immunology 6
    • Virus-based gene therapy research 36

Renata Stripecke

72 papers receiving 2.9k citations

Peers

Renata Stripecke
Comparison fields: 5 of 105
  • Immunology 960
  • Genetics 1.0k
  • Oncology 1.0k
  • Hematology 327
  • Molecular Biology 1.6k
Replace Christophe Hue with:
Christophe Hue France
Georg H. Fey Germany
Els Verhoeyen France
Masaharu Isobe Japan
Anthony Anisowicz United States
Pinaki P. Banerjee United States
Brian Champion United Kingdom
Ulrich Pannicke Germany
Jane Clifford Azizkhan United States
Robert W. Overell United States
Renata Stripecke relative to Christophe Hue France Christophe Hue's profile →
Citations per field
00.5×2.9×
Christophe Hue · 1×
Citations per year

Countries citing papers authored by Renata Stripecke

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Renata Stripecke Line = papers co-authored together Renata Stripecke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202312
2 20214
3 202050
4 202026
5 20199
6 2018142
7 201718
8 201715
9 201321
10 201312
11 201326
12 201215
13 201115
14 200814
15 200819
16 2006160
17 200233
18 200241
19 1999285
20 199834

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.

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2026