Danielle Gaillard

25 papers receiving 792 citations

Peers

Danielle Gaillard
Comparison fields: 5 of 72
  • Physiology 396
  • Biochemistry 72
  • Molecular Biology 538
  • Epidemiology 179
  • Cancer Research 77
Replace Dwight D. Dimaculangan with:
Dwight D. Dimaculangan United States
Shinobu Nishitani Japan
Neus Pedraza Spain
Jonathan K. Hamm United States
Linda S. Hoffmann Germany
Hai-Yan Huang China
Min Jae Jeon South Korea
Jean‐Valéry Turatsinze Belgium
Søren Fisker Schmidt Denmark
Victor A. Drover United States
Danielle Gaillard relative to Dwight D. Dimaculangan United States Dwight D. Dimaculangan's profile →
Citations per field
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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-authors

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

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995207
2 1999143
3 200168
4 199155
5 199449
6 200147
7 199337
8 198532
9 199229
10 199629
11 199926
12 199919
13 199216
14 199015
15 198213
16 19897
17 19796
18 19744
19 19814
20 19753

About Danielle Gaillard

Danielle Gaillard is a scholar working on Molecular Biology, Physiology, Cancer Research, Epidemiology and Pharmacology, having authored 26 papers that have together received 823 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (13 papers), Metabolism, Diabetes, and Cancer (7 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Cancer, Hypoxia, and Metabolism (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Muscle metabolism and nutrition (2 papers). The work is most often cited by research in Physiology (396 citations), Biochemistry (72 citations), Molecular Biology (538 citations), Epidemiology (179 citations) and Cancer Research (77 citations). Danielle Gaillard has collaborated with scholars based in France, United States and Denmark. Frequent co-authors include Paul A. Grimaldi, Ez‐Zoubir Amri, Lydia Teboul, Raymond Négrel, Gérard Ailhaud, Hidekuni Inadera, Chantal Jehl-Piétri, Claire C. Bastie, Dorte Holst and Rose‐Marie Catalioto. Their work appears in journals such as Biochemical Pharmacology, Toxicology, Biochemical Journal, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and Molecular and Cellular Endocrinology.

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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