C. Allard

2.1k citations
56 papers · 1.4k indexed · h-index 20

Impact in

Papers in

C. Allard

54 papers receiving 1.3k citations

Peers

C. Allard
Comparison fields: 5 of 108
  • Endocrinology, Diabetes and Metabolism 386
  • Endocrine and Autonomic Systems 146
  • Reproductive Medicine 133
  • Physiology 347
  • Nutrition and Dietetics 121
Replace Takamura Muraki with:
Takamura Muraki Japan
Anne W. Thorburn Australia
William Abplanalp United States
Laxmi Srivastava United States
Emina Sudar-Milovanović Serbia
T.C. Mathew Kuwait
Kiyohiko Kato Japan
Ana M. Proenza Spain
Luciana C. Caperuto Brazil
Karen Jesus Oliveira Brazil
C. Allard relative to Takamura Muraki Japan Takamura Muraki's profile →
Citations per field
00.5×4.6×
Takamura Muraki · 1×
Citations per year

Countries citing papers authored by C. Allard

Since Specialization
Citations

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

Fields of papers citing papers by C. Allard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20247
2 20240
3 20238
4 20221
5 202027
6 201940
7 201842
8 201857
9 201814
10 2016131
11 201547
12 201212
13 200731
14 198111
15
Diet and muscle glycogen in vastus lateralis of runners training for the marathon.
19801
16
Essai de traitement du syndrome de Felty par le lithium
19764
17
Preoperative serum lipid profile in surgically treated patients with coronary arteriosclerosis.
19714
18
Investigations into the biology of pea downy mildew.
19701
19 196614
20 196411

About C. Allard

C. Allard is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism, Physiology, Cell Biology and Surgery, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (10 papers), Adipose Tissue and Metabolism (7 papers), Regulation of Appetite and Obesity (6 papers), Diabetes Treatment and Management (5 papers), Muscle metabolism and nutrition (4 papers), Lipoproteins and Cardiovascular Health (4 papers), Hormonal and reproductive studies (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (386 citations), Endocrine and Autonomic Systems (146 citations), Reproductive Medicine (133 citations), Physiology (347 citations) and Nutrition and Dietetics (121 citations). C. Allard has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Franck Mauvais‐Jarvis, Weiwei Xu, Guadalupe Navarro, Antonio Cantero, J. G. Lafontaine, Claude Goulet, Gaston de Lamirande, S. Renaud, Claude Bouchard and K Kuba. Their work appears in journals such as Diabetes, Journal of Nutrition, Obesity, Human Genetics and Molecular Metabolism.

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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2026