Florence Conus

1.4k citations
19 papers · 1.1k indexed · 1 hit paper · h-index 10

Florence Conus

18 papers receiving 1.1k citations

Hit Papers

Metabolic and Body Composition Factors in Subgroups of Ob...5802004202620112018100200300400500

Peers

Florence Conus
Comparison fields: 5 of 90
  • Endocrinology, Diabetes and Metabolism 364
  • Physiology 480
  • Endocrine and Autonomic Systems 107
  • Epidemiology 367
  • Cardiology and Cardiovascular Medicine 228
Replace Marie-Ève Lavoie with:
Marie-Ève Lavoie Canada
Vlad Vuksan Canada
Piotr Kocełak Poland
Marieke B. Snijder Netherlands
Robert J. Ostfeld United States
B. M. Makkar India
Dan Schwarzfuchs Israel
Danilo Fintini Italy
Liisa Saarikoski Finland
Monira Alarouj Kuwait
Florence Conus relative to Marie-Ève Lavoie Canada Marie-Ève Lavoie's profile →
Citations per field
00.5×1.5×
Marie-Ève Lavoie · 1×
Citations per year

Countries citing papers authored by Florence Conus

Since Specialization
Citations

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

Fields of papers citing papers by Florence Conus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 20242
2 20238
3 20222
4 20207
5 20202
6 20196
7 201810
8 20179
9 201713
10 20158
11 201519
12 201417
13 20141
14 200810
15 2007166
16 200635
17 2004175
18 200462
19
Metabolic and Body Composition Factors in Subgroups of Obesity: What Do We Know?breakdown →
2004580

About Florence Conus

Florence Conus is a scholar working on Endocrine and Autonomic Systems, Immunology, Physiology, Epidemiology and Nutrition and Dietetics, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immune responses and vaccinations (9 papers), Regulation of Appetite and Obesity (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Infant Nutrition and Health (3 papers), Adipose Tissue and Metabolism (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Diabetes and associated disorders (3 papers) and Asthma and respiratory diseases (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (364 citations), Physiology (480 citations), Endocrine and Autonomic Systems (107 citations), Epidemiology (367 citations) and Cardiology and Cardiovascular Medicine (228 citations). Florence Conus has collaborated with scholars based in Canada and United States. Frequent co-authors include Rémi Rabasa‐Lhoret, Éric T. Poehlman, David H. St‐Pierre, Antony D. Karelis, François Péronnet, Maxime St-Onge, David B. Allison, Marie‐Claude Rousseau, Marie‐Élise Parent and Mariam El‐Zein. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Epidemiology, Diabetes & Metabolism, The Canadian Journal of Psychiatry and Vaccine.

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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