Patrick Augereau

1.6k citations
29 papers · 1.4k · h-index 15

Impact in

    • Protease and Inhibitor Mechanisms
  • Genetics top 5%
    • Estrogen and related hormone effects
    • Virus-based gene therapy research

Papers in

    • Retinoids in leukemia and cellular processes 9
    • RNA Research and Splicing 3
    • Estrogen and related hormone effects 13

Patrick Augereau

29 papers receiving 1.3k citations

Peers

Patrick Augereau
Comparison fields: 5 of 87
  • Cancer Research 273
  • Genetics 513
  • Immunology and Allergy 88
  • Molecular Biology 902
  • Oncology 288
Replace Dietmar von der Ahe with:
Dietmar von der Ahe Germany
Shoshana Segal United States
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Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by Patrick Augereau

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Augereau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983265
2 1986204
3 1993138
4 1994118
5 1986112
6 198883
7 198969
8 199455
9 198852
10 199947
11 200646
12 200646
13 200640
14 199138
15 201224
16 198413
17 198612
18 198711
19 199610
20 19949

About Patrick Augereau

Patrick Augereau is a scholar working on Molecular Biology, Genetics, Cancer Research, Oncology and Immunology, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (13 papers), Retinoids in leukemia and cellular processes (9 papers), Protease and Inhibitor Mechanisms (8 papers), Cell Adhesion Molecules Research (4 papers), T-cell and B-cell Immunology (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), HER2/EGFR in Cancer Research (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Cancer Research (273 citations), Genetics (513 citations), Immunology and Allergy (88 citations), Molecular Biology (902 citations) and Oncology (288 citations). Patrick Augereau has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Pierre Chambon, Vincent Cavaillès, Henri Rochefort, Bohdan Wasylyk, Christine Wasylyk, Alan G. Wildeman, Irwin Davidson, Martin Zenke, Catherine Fromental-Ramain and Éric Badia. Their work appears in journals such as Molecular Endocrinology, Biochemical and Biophysical Research Communications, The Journal of Steroid Biochemistry and Molecular Biology, Biochimie and Oncogene.

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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