Annick Dieterle

1.7k citations
14 papers · 1.5k · h-index 13

Impact in

  • Genetics top 2%
    • Virus-based gene therapy research
    • Viral Infectious Diseases and Gene Expression in Insects
    • RNA Interference and Gene Delivery
    • CRISPR and Genetic Engineering

Papers in

    • Virus-based gene therapy research 13
    • Animal Genetics and Reproduction 1
    • Viral Infectious Diseases and Gene Expression in Insects 6
    • CRISPR and Genetic Engineering 4
    • RNA Interference and Gene Delivery 2

Annick Dieterle

14 papers receiving 1.4k citations

Peers

Annick Dieterle
Comparison fields: 5 of 80
  • Genetics 1.1k
  • Molecular Biology 978
  • Oncology 329
  • Infectious Diseases 230
  • Biotechnology 49
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Citations per year

Countries citing papers authored by Annick Dieterle

Since Specialization
Citations

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

Fields of papers citing papers by Annick Dieterle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1996607
2 1998227
3 1997128
4 1993106
5 198576
6 200069
7
Novel complementation cell lines derived from human lung carcinoma A549 cells support the growth of E1-deleted adenovirus vectors.
199658
8 199051
9 199951
10 199535
11
Targeting cell-specific gene expression with an adenovirus vector containing the lacZ gene under the control of the CFTR promoter.
199632
12
An efficient procedure to select and recover recombinant adenovirus vectors.
199526
13 200026
14 20001

About Annick Dieterle

Annick Dieterle is a scholar working on Genetics, Molecular Biology, Oncology, Biotechnology and Pulmonary and Respiratory Medicine, having authored 14 papers that have together received 1.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (13 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), CRISPR and Genetic Engineering (4 papers), CAR-T cell therapy research (2 papers), Biomedical and Engineering Education (2 papers), Cystic Fibrosis Research Advances (2 papers), RNA Interference and Gene Delivery (2 papers) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Genetics (1.1k citations), Molecular Biology (978 citations), Oncology (329 citations), Infectious Diseases (230 citations) and Biotechnology (49 citations). Annick Dieterle has collaborated with scholars based in France. Frequent co-authors include Andréa Pavirani, Majid Mehtali, Cécile Chartier, Eric Degryse, Murielle Gantzer, Dominique Dreyer, Monika Lusky, Marielle Christ, Fabienne Stoeckel and Huguette Schultz. Their work appears in journals such as Journal of Virology, The Journal of Gene Medicine, Human Gene Therapy, Immunology Letters and The EMBO Journal.

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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