Florence Gizard

2.3k citations
32 papers · 1.9k · h-index 24

Impact in

  • Physiology top 5%
    • Adipose Tissue and Metabolism
    • Telomeres, Telomerase, and Senescence
  • Aging top 10%

Papers in

    • Peroxisome Proliferator-Activated Receptors 7
    • Retinoids in leukemia and cellular processes 3
    • Adipose Tissue and Metabolism 4

Florence Gizard

32 papers receiving 1.9k citations

Peers

Florence Gizard
Comparison fields: 5 of 100
  • Physiology 421
  • Aging 28
  • Immunology 307
  • Cellular and Molecular Neuroscience 270
  • Cancer Research 177
Replace Brigitte Fournier with:
Brigitte Fournier Switzerland
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Florence Gizard relative to Brigitte Fournier Switzerland Brigitte Fournier's profile →
Citations per field
00.5×1.5×2.4×
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Citations per year

Countries citing papers authored by Florence Gizard

Since Specialization
Citations

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

Fields of papers citing papers by Florence Gizard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007331
2 2006181
3 2005138
4 2006113
5 2011112
6 201183
7 201080
8 201072
9 200767
10 200967
11 200659
12 200255
13 201253
14 200853
15 202050
16 200146
17 201442
18 201037
19 201137
20 200526

About Florence Gizard

Florence Gizard is a scholar working on Molecular Biology, Physiology, Genetics, Cellular and Molecular Neuroscience and Oncology, having authored 32 papers that have together received 1.9k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (7 papers), Estrogen and related hormone effects (6 papers), Nuclear Receptors and Signaling (4 papers), Adipose Tissue and Metabolism (4 papers), Retinoids in leukemia and cellular processes (3 papers), Cancer-related Molecular Pathways (3 papers), Hormonal Regulation and Hypertension (3 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers). The work is most often cited by research in Physiology (421 citations), Aging (28 citations), Immunology (307 citations), Cellular and Molecular Neuroscience (270 citations) and Cancer Research (177 citations). Florence Gizard has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Dennis Bruemmer, Karrie L. Jones, Elizabeth B. Heywood, Bart Staels, Takashi Nomiyama, Hannes M. Findeisen, Ryuzo Kawamori, Yue Zhao, Pascal Froment and Joëlle Dupont. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Journal of Biological Chemistry, PLoS ONE, Molecular and Cellular Biology and Circulation Research.

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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