Danièle Mathieu

843 citations
17 papers · 674 · h-index 14

Impact in

Papers in

    • Angiogenesis and VEGF in Cancer 6
    • Kruppel-like factors research 4
    • RNA Interference and Gene Delivery 2
    • Zebrafish Biomedical Research Applications 7

Danièle Mathieu

17 papers receiving 654 citations

Peers

Danièle Mathieu
Comparison fields: 5 of 83
  • Molecular Medicine 64
  • Microbiology 52
  • Applied Microbiology and Biotechnology 13
  • Molecular Biology 398
  • Endocrinology 28
Replace Luis Miguel Guachalla with:
Luis Miguel Guachalla Germany
Mary E. Neville United States
Virginie Calderon Canada
Krishna Murari Sinha United States
Mitra Ahmadi France
Amy Robertson United States
Christiane Vank Spain
Mahdi Shabani Iran
Sisi He China
Jacob J. Baker United States
Danièle Mathieu relative to Luis Miguel Guachalla Germany Luis Miguel Guachalla's profile →
Citations per field
00.5×3.3×
Luis Miguel Guachalla · 1×
Citations per year

Countries citing papers authored by Danièle Mathieu

Since Specialization
Citations

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

Fields of papers citing papers by Danièle Mathieu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2002123
2 2001120
3 2001101
4 200568
5 200767
6 200439
7 199527
8 201022
9 201222
10 200522
11 201015
12 199114
13 201414
14 200513
15 19814
16 20202
17 20091

About Danièle Mathieu

Danièle Mathieu is a scholar working on Molecular Biology, Cell Biology, Hematology, Immunology and Epidemiology, having authored 17 papers that have together received 674 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (7 papers), Angiogenesis and VEGF in Cancer (6 papers), Kruppel-like factors research (4 papers), RNA Interference and Gene Delivery (2 papers), Immune Cell Function and Interaction (2 papers), Acute Myeloid Leukemia Research (2 papers), Bacterial Infections and Vaccines (1 paper) and Pneumonia and Respiratory Infections (1 paper). The work is most often cited by research in Molecular Medicine (64 citations), Microbiology (52 citations), Applied Microbiology and Biotechnology (13 citations), Molecular Biology (398 citations) and Endocrinology (28 citations). Danièle Mathieu has collaborated with scholars based in France, United Kingdom and Switzerland. Frequent co-authors include Philippe Clair, Jamal Temsamani, Martine Mazel, Christiane Dohet, Virginie Deleuze, Michel Kaczorek, Guillaume Drin, Christophe Rousselle, Jean‐Michel Scherrmann and Pierre Vidal. Their work appears in journals such as Steroids, PLoS ONE, Blood, American Journal of Physiology-Lung Cellular and Molecular Physiology and Molecular and Cellular Biology.

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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