Annick Werner

961 citations
7 papers · 832 · h-index 7

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immunodeficiency and Autoimmune Disorders
    • Connective Tissue Growth Factor Research
    • Muscle Physiology and Disorders

Papers in

    • T-cell and B-cell Immunology 3
    • Immunotherapy and Immune Responses 2
    • Immune Cell Function and Interaction 2

Annick Werner

7 papers receiving 816 citations

Peers

Annick Werner
Comparison fields: 5 of 71
  • Immunology 374
  • Molecular Biology 430
  • Immunology and Allergy 33
  • Cancer Research 60
  • Genetics 98
Replace Nadia Alhashmi with:
Nadia Alhashmi Oman
Kathrine Abell Denmark
Elizabeth A. Waterman United Kingdom
Michele Pelosi Italy
David Tara United States
Sandra P. Frizelle United States
Céline Derambure France
Walter Pouwels Netherlands
D L Boyle United States
Kishore S. Malyavantham United States
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Citations per field
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Citations per year

Countries citing papers authored by Annick Werner

Since Specialization
Citations

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

Fields of papers citing papers by Annick Werner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 1995303
2 1997278
3 200186
4 201175
5 200150
6 201624
7 202216

About Annick Werner

Annick Werner is a scholar working on Immunology, Sensory Systems, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 7 papers that have together received 832 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Immunotherapy and Immune Responses (2 papers), Immune Cell Function and Interaction (2 papers), Pluripotent Stem Cells Research (1 paper), Muscle Physiology and Disorders (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper), CAR-T cell therapy research (1 paper) and Adipose Tissue and Metabolism (1 paper). The work is most often cited by research in Immunology (374 citations), Molecular Biology (430 citations), Immunology and Allergy (33 citations), Cancer Research (60 citations) and Genetics (98 citations). Annick Werner has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Thomas H. Winkler, Fritz Melchers, Antonius Rolink, Ulf Grawunder, Thomas M. J. Leu, David G. Schatz, Dai-Do Do, Nelson Godoy, Joachim Rupp and Barry S. Oemar. Their work appears in journals such as Science Signaling, BMC Genomics, Cytotherapy, European Journal of Immunology and Immunity.

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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