Florence Massiéra

3.0k citations
20 papers · 2.4k indexed · h-index 19
Topics
Adipose Tissue and Metabolism (14 papers)Adipokines, Inflammation, and Metabolic Diseases (7 papers)Fatty Acid Research and Health (5 papers)
Partner nations
FranceJapanUnited States

In The Last Decade

Florence Massiéra

20 papers receiving 2.4k citations

Peers

Florence Massiéra
Comparison fields: 5 of 104
  • Physiology 1.0k
  • Cardiology and Cardiovascular Medicine 655
  • Epidemiology 634
  • Nutrition and Dietetics 612
  • Endocrinology, Diabetes and Metabolism 564
Replace Kate Claycombe with:
Kate Claycombe United States
Greg R. Collier Australia
Christian Darimont Switzerland
Glenn R. Krakower United States
Malin Lönn Sweden
Héctor Pons Venezuela
Mario DiGirolamo United States
Ramón Cañete Spain
David H. St‐Pierre Canada
Vladimír Štich Czechia
Florence Massiéra relative to Kate Claycombe United States Kate Claycombe's profile →
Citations per field
00.5×2.6×
Kate Claycombe · 1×
Citations per year

Countries citing papers authored by Florence Massiéra

Since Specialization
Citations

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

Fields of papers citing papers by Florence Massiéra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florence Massiéra

This figure shows the co-authorship network connecting the top 25 collaborators of Florence Massiéra. A scholar is included among the top collaborators of Florence Massiéra based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Florence Massiéra. Florence Massiéra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 28
2 104
3 44
4 143
5 170
6 62
7 19
8 43
9 14
10 70
11 361
12 257
13 324
14 35
15 24
16 155
17 35
18 385
19 91
20 79

About Florence Massiéra

Florence Massiéra is a scholar working on Physiology, Nutrition and Dietetics and Endocrinology, Diabetes and Metabolism, having authored 20 papers that have together received 2.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (14 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers) and Fatty Acid Research and Health (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (278 citations), Nutrition and Dietetics (612 citations) and Physiology (1.0k citations). Florence Massiéra has collaborated with scholars based in France, Japan and United States. Frequent co-authors include Gérard Ailhaud, Michèle Teboul, Raymond Négrel, Annie Quignard‐Boulangé, Josiane Seydoux, Perla Saint-Marc, Philippe Legrand, P. Guesnet, Pierre Weill and Jean Marc J. M. Alessandri. Their work appears in journals such as American Journal of Clinical Nutrition, The FASEB Journal 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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