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
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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-authors

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

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015217
2 2016131
3 197095
4 196487
5
Purine-metabolizing enzymes in normal rat liver and Novikoff hepatoma.
195869
6 201863
7 198959
8 201857
9 201453
10 201547
11 201842
12 201342
13 201940
14
Mitochondrial population of mammalian cells. II. Variation in the mitochondrial population of the average rat liver cell during regeneration; use of the mitochondrion as a unit of measurement.
195236
15 195732
16 200731
17 201228
18 202027
19 199325
20 198521

About C. Allard

C. Allard is a scholar working on Surgery, Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism and Epidemiology, 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), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Hormonal and reproductive studies (4 papers) and Lipoproteins and Cardiovascular Health (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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