Renata Stripecke

4.3k citations
86 papers · 3.6k · h-index 31

Impact in

  • Immunology top 2%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
  • Oncology top 2%
    • CAR-T cell therapy research

Papers in

    • Immunotherapy and Immune Responses 30
    • Immune Cell Function and Interaction 17
    • T-cell and B-cell Immunology 6
    • CAR-T cell therapy research 32

Renata Stripecke

86 papers receiving 3.5k citations

Peers

Renata Stripecke
Comparison fields: 5 of 107
  • Immunology 1.1k
  • Oncology 1.2k
  • Genetics 1.1k
  • Hematology 364
  • Molecular Biology 1.7k
Replace Georg H. Fey with:
Georg H. Fey Germany
Els Verhoeyen France
Bonnie L. Lyons United States
Christophe Hue France
Sabine Middendorp Netherlands
Siok‐Keen Tey Australia
Masaharu Isobe Japan
Gwenn A. Danet-Desnoyers United States
Roberta Pelanda United States
Scott A. Ness United States
Renata Stripecke relative to Georg H. Fey Germany Georg H. Fey's profile →
Citations per field
00.5×2×3×4×4.5×
Georg H. Fey · 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

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999349
2 1991309
3 1999297
4 1993186
5 2018176
6 2006169
7 1994127
8 2020106
9 200092
10 200790
11 202066
12 202261
13 199252
14 200351
15 200244
16 201444
17 202243
18 199942
19 200741
20 201540

About Renata Stripecke

Renata Stripecke is a scholar working on Immunology, Oncology, Genetics, Epidemiology and Molecular Biology, having authored 86 papers that have together received 3.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (36 papers), CAR-T cell therapy research (32 papers), Immunotherapy and Immune Responses (30 papers), Cytomegalovirus and herpesvirus research (19 papers), Immune Cell Function and Interaction (17 papers), RNA Interference and Gene Delivery (16 papers), T-cell and B-cell Immunology (6 papers) and Herpesvirus Infections and Treatments (6 papers). The work is most often cited by research in Immunology (1.1k citations), Oncology (1.2k citations), Genetics (1.1k citations), Hematology (364 citations) and Molecular Biology (1.7k citations). Renata Stripecke has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Matthias W. Hentze, Donald B. Kohn, Dianne C. Skelton, B. Goossen, Hans E. Johansson, Nicola K. Gray, Noriyuki Kasahara, Stephanie Halene, N Satake and Richard Chikara Koya. Their work appears in journals such as Blood, Human Gene Therapy, Frontiers in Immunology, Gene Therapy and Molecular Therapy — Methods & Clinical Development.

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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