Danielle Gaillard

908 citations
24 papers · 795 indexed · h-index 14

Danielle Gaillard

24 papers receiving 773 citations

Peers

Danielle Gaillard
Comparison fields: 5 of 73
  • Physiology 411
  • Biochemistry 73
  • Molecular Biology 546
  • Epidemiology 182
  • Cancer Research 78
Replace Dwight D. Dimaculangan with:
Dwight D. Dimaculangan United States
Chien‐Min Hung Taiwan
Linda S. Hoffmann Germany
Neus Pedraza Spain
Hai-Yan Huang China
Jonathan K. Hamm United States
Elena Burdett Canada
María-Jesús Latasa Spain
Victor A. Drover United States
Yin He United States
Danielle Gaillard relative to Dwight D. Dimaculangan United States Dwight D. Dimaculangan's profile →
Citations per field
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Dwight D. Dimaculangan · 1×
Citations per year

Countries citing papers authored by Danielle Gaillard

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Gaillard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200167
2 1999142
3 199925
4 199629
5 1995198
6 199448
7 199335
8 199229
9 199216
10 199151
11 199015
12 19897
13 19853
14 198531
15 198212
16 19814
17 19796
18 19771
19 19753
20 19743

About Danielle Gaillard

Danielle Gaillard is a scholar working on Cancer Research, Physiology, Pharmacology, Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 24 papers that have together received 795 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (12 papers), Metabolism, Diabetes, and Cancer (7 papers), Cancer, Hypoxia, and Metabolism (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Carcinogens and Genotoxicity Assessment (2 papers). The work is most often cited by research in Physiology (411 citations), Biochemistry (73 citations), Molecular Biology (546 citations), Epidemiology (182 citations) and Cancer Research (78 citations). Danielle Gaillard has collaborated with scholars based in France and Denmark. Frequent co-authors include Paul A. Grimaldi, Ez‐Zoubir Amri, Lydia Teboul, Gérard Ailhaud, Raymond Négrel, Hidekuni Inadera, Claire C. Bastie, Dorte Holst, Chantal Jehl-Piétri and Rose‐Marie Catalioto. Their work appears in journals such as Toxicology, Biochemical Pharmacology, Biochemical Journal, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and Growth Factors.

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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