C. Allard

2.1k citations
58 papers · 1.6k · h-index 20

Impact in

Papers in

    • Pancreatic function and diabetes 9
    • Lipoproteins and Cardiovascular Health 4
    • Metabolism, Diabetes, and Cancer 3

C. Allard

57 papers receiving 1.4k citations

Peers

C. Allard
Comparison fields: 5 of 108
  • Endocrinology, Diabetes and Metabolism 363
  • Endocrine and Autonomic Systems 136
  • Reproductive Medicine 132
  • Physiology 337
  • Behavioral Neuroscience 30
Replace Takamura Muraki with:
Takamura Muraki Japan
Anne W. Thorburn Australia
Laxmi Srivastava United States
Ana M. Proenza Spain
T.C. Mathew Kuwait
Maria Rosaria Tagliamonte Italy
Kiyohiko Kato Japan
William Abplanalp United States
Emina Sudar-Milovanović Serbia
E.R. Trimble United Kingdom
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Citations per field
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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 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015232
2 2016137
3 1970106
4 196499
5
Purine-metabolizing enzymes in normal rat liver and Novikoff hepatoma.
195873
6 201867
7 201862
8 198959
9 201455
10 201551
11 201844
12 201343
13
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.
195243
14 201941
15 195736
16 200735
17 202030
18 201228
19 199326
20 198521

About C. Allard

C. Allard is a scholar working on Surgery, Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 58 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (9 papers), Regulation of Appetite and Obesity (6 papers), Diabetes Treatment and Management (5 papers), Hormonal and reproductive studies (4 papers), Erythrocyte Function and Pathophysiology (4 papers), Lipoproteins and Cardiovascular Health (4 papers), Muscle metabolism and nutrition (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (363 citations), Endocrine and Autonomic Systems (136 citations), Reproductive Medicine (132 citations), Physiology (337 citations) and Behavioral Neuroscience (30 citations). C. Allard has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Franck Mauvais‐Jarvis, Weiwei Xu, Guadalupe Navarro, Antonio Cantero, J. G. Lafontaine, Claude Goulet, S. Renaud, Gaston de Lamirande, Claude Bouchard and K Kuba. Their work appears in journals such as Obesity, Journal of Nutrition, Molecular Metabolism, Human Genetics and Diabetes.

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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