Brigitte Agli

664 citations
28 papers · 625 · h-index 17

Impact in

Papers in

    • Adipose Tissue and Metabolism 17
    • Receptor Mechanisms and Signaling 11
    • Metabolism, Diabetes, and Cancer 4

Brigitte Agli

28 papers receiving 580 citations

Peers

Brigitte Agli
Comparison fields: 5 of 66
  • Physiology 404
  • Animal Science and Zoology 123
  • Endocrine and Autonomic Systems 72
  • Behavioral Neuroscience 35
  • Endocrinology, Diabetes and Metabolism 118
Replace Johan Hellmér with:
Johan Hellmér Sweden
M. Nechad France
Michèle Dauzats France
G. Mory France
Christopher J. de Souza United States
Barbara A. Cunningham United States
Bernard G. Slavin United States
K. M. Burleigh Australia
G. Shillabeer Canada
A. F. Burnol France
Brigitte Agli relative to Johan Hellmér Sweden Johan Hellmér's profile →
Citations per field
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Citations per year

Countries citing papers authored by Brigitte Agli

Since Specialization
Citations

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

Fields of papers citing papers by Brigitte Agli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Brigitte Agli, 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 Brigitte Agli Line = papers co-authored together Brigitte Agli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198856
2 199144
3 199144
4 199733
5 199733
6 199932
7 197732
8 198231
9 197930
10 198530
11 199528
12 197725
13 198322
14 198421
15 197919
16 198118
17 199516
18 199316
19 198016
20 198612

About Brigitte Agli

Brigitte Agli is a scholar working on Physiology, Molecular Biology, Epidemiology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 28 papers that have together received 625 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (17 papers), Receptor Mechanisms and Signaling (11 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers), Regulation of Appetite and Obesity (6 papers), Pharmacological Effects and Assays (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Neuropeptides and Animal Physiology (4 papers) and Cancer, Stress, Anesthesia, and Immune Response (3 papers). The work is most often cited by research in Physiology (404 citations), Animal Science and Zoology (123 citations), Endocrine and Autonomic Systems (72 citations), Behavioral Neuroscience (35 citations) and Endocrinology, Diabetes and Metabolism (118 citations). Brigitte Agli has collaborated with scholars based in France. Frequent co-authors include Yves Giudicelli, Danièle Lacasa, D. Lacasa, René Pecquery, Esther Garcı́a, Roger Nordmann, Claude Lhuillery, Y. Demarne, Michel Lacasa and N R Thotakura. Their work appears in journals such as Biochemical and Biophysical Research Communications, European Journal of Biochemistry, Journal of Endocrinology, FEBS Letters and 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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