Florence Gizard

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

Impact in

Papers in

Florence Gizard

33 papers receiving 1.9k citations

Peers

Florence Gizard
Comparison fields: 5 of 77
  • Cellular and Molecular Neuroscience 160
  • Epidemiology 305
  • Immunology 182
  • Reproductive Medicine 97
  • Molecular Biology 585
Replace Junji Ishida with:
Junji Ishida Japan
Yong Deuk Kim South Korea
Jill Lindner United States
Brandee L. Wagner United States
Ephraim Sehayek United States
Ryoichi X. Ioka Japan
Ricardo Rodríguez‐Calvo Spain
Masatoshi Kikuchi Japan
Pamela M. Rogers United States
Shengyi Sun United States
Florence Gizard relative to Junji Ishida Japan Junji Ishida's profile →
Citations per field
00.5×2×3×3.7×
Junji Ishida · 1×
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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007341
2 2006184
3 2005143
4 2006117
5 2011116
6 201182
7 201081
8 201077
9 200970
10 200768
11 200659
12 200857
13 200254
14 201253
15 202051
16 200146
17 201444
18 201037
19 201137
20 200025

About Florence Gizard

Florence Gizard is a scholar working on Immunology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology, having authored 33 papers that have together received 1.9k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (6 papers), Estrogen and related hormone effects (6 papers), Nuclear Receptors and Signaling (5 papers), Atherosclerosis and Cardiovascular Diseases (5 papers), Adrenal Hormones and Disorders (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Genomics and Chromatin Dynamics (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (160 citations), Epidemiology (305 citations), Immunology (182 citations), Reproductive Medicine (97 citations) and Molecular Biology (585 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, Yue Zhao, Bart Staels, Takashi Nomiyama, Hannes M. Findeisen, Ryuzo Kawamori, Philippe Monget and Pascal Froment. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Journal of Biological Chemistry, PLoS ONE, Journal of Clinical Investigation 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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