Florence Galtier

4.2k citations
83 papers · 2.0k indexed · h-index 27

Impact in

Papers in

Florence Galtier

80 papers receiving 2.0k citations

Peers

Florence Galtier
Comparison fields: 5 of 124
  • Obstetrics and Gynecology 130
  • Cancer Research 249
  • Orthopedics and Sports Medicine 141
  • Endocrinology, Diabetes and Metabolism 249
  • Genetics 356
Replace Takashi Takeda with:
Takashi Takeda Japan
Hui Jiang China
Hideki Mizunuma Japan
Simon J. Lees United States
Qi Yu China
Ross McManus Ireland
Neerja Gupta India
Ines Bucci Italy
Guangju Zhai Canada
Giorgio Napolitano Italy
Florence Galtier relative to Takashi Takeda Japan Takashi Takeda's profile →
Citations per field
00.5×3.4×
Takashi Takeda · 1×
Citations per year

Countries citing papers authored by Florence Galtier

Since Specialization
Citations

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

Fields of papers citing papers by Florence Galtier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 202315
4 202229
5 202227
6 202025
7 201928
8 20194
9 201858
10 201527
11 20146
12 201362
13 201314
14 201313
15 20107
16 200951
17 20085
18 200514
19 199864
20 199229

About Florence Galtier

Florence Galtier is a scholar working on Endocrinology, Diabetes and Metabolism, Health, Epidemiology, Modeling and Simulation and Pharmacy, having authored 83 papers that have together received 2.0k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (13 papers), Estrogen and related hormone effects (9 papers), Vaccine Coverage and Hesitancy (9 papers), Bariatric Surgery and Outcomes (9 papers), Diabetes Treatment and Management (8 papers), Respiratory viral infections research (8 papers), Diabetes Management and Research (7 papers) and Retinoids in leukemia and cellular processes (6 papers). The work is most often cited by research in Obstetrics and Gynecology (130 citations), Cancer Research (249 citations), Orthopedics and Sports Medicine (141 citations), Endocrinology, Diabetes and Metabolism (249 citations) and Genetics (356 citations). Florence Galtier has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Dany Chalbos, Karine Belguise, Nathalie Kersual, Catherine Teyssier, Henri Rochefort, Thibault Mura, Alexandre Philips, David Nocca, Laurent Maı̈moun and Denis Mariano‐Goulart. Their work appears in journals such as Human Vaccines & Immunotherapeutics, Diabetes Obesity and Metabolism, Diabetes & Metabolism, Journal of Biological Chemistry and European Journal of Clinical Pharmacology.

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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