Jörn Stitz

844 citations
42 papers · 661 · h-index 16

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Genetics top 5%
    • Virus-based gene therapy research

Papers in

    • CRISPR and Genetic Engineering 12
    • Viral Infectious Diseases and Gene Expression in Insects 10
    • RNA Interference and Gene Delivery 9
    • Protein purification and stability 5
    • Virus-based gene therapy research 23

Jörn Stitz

41 papers receiving 645 citations

Peers

Jörn Stitz
Comparison fields: 5 of 68
  • Virology 154
  • Genetics 379
  • Infectious Diseases 116
  • Molecular Biology 384
  • Oncology 84
Replace María Mercedes Segura with:
María Mercedes Segura Spain
Ralph Dornburg United States
Jörg Enssle Germany
Michel Geist France
Kit L. Shaw United States
Yadvinder S. Ahi United States
Nathalia Holt United States
Mireille Centlivre Netherlands
Mary Saltarelli United States
Tianci Luo United States
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Citations per field
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Citations per year

Countries citing papers authored by Jörn Stitz

Since Specialization
Citations

This map shows the geographic impact of Jörn Stitz'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 Jörn Stitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jörn Stitz more than expected).

Fields of papers citing papers by Jörn Stitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jörn Stitz. 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 Jörn Stitz. The network helps show where Jörn Stitz may publish in the future.

Co-authors

The 25 scholars most cited alongside Jörn Stitz, 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 Jörn Stitz Line = papers co-authored together Jörn Stitz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000121
2 1997110
3 200037
4 200236
5 202235
6 200124
7 200422
8 202220
9
Retroviral cell targeting vectors.
199920
10 202219
11 200217
12 202016
13 202216
14 201715
15 200115
16 200315
17 200015
18 201911
19 200511
20 20217

About Jörn Stitz

Jörn Stitz is a scholar working on Molecular Biology, Genetics, Virology, Immunology and Oncology, having authored 42 papers that have together received 661 indexed citations. Recurring topics across this work include Virus-based gene therapy research (23 papers), HIV Research and Treatment (12 papers), CRISPR and Genetic Engineering (12 papers), Viral Infectious Diseases and Gene Expression in Insects (10 papers), RNA Interference and Gene Delivery (9 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), CAR-T cell therapy research (5 papers) and Protein purification and stability (5 papers). The work is most often cited by research in Virology (154 citations), Genetics (379 citations), Infectious Diseases (116 citations), Molecular Biology (384 citations) and Oncology (84 citations). Jörn Stitz has collaborated with scholars based in Germany, United States and Russia. Frequent co-authors include Klaus Cichutek, Christian J. Buchholz, Wolfgang Uckert, Reinhard Kurth, Bobkova Mr, Barbara S. Schnierle, Bernd Groner, Valerie Bosch, Karen Berg and Jochen Strube. Their work appears in journals such as Virology, Journal of General Virology, Frontiers in Bioengineering and Biotechnology, ACS Omega and Journal of Visualized Experiments.

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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