Marie Lambert

141 papers receiving 5.0k citations

Peers

Marie Lambert
Comparison fields: 5 of 154
  • Clinical Biochemistry 659
  • Biochemistry 320
  • Endocrinology, Diabetes and Metabolism 520
  • Public Health, Environmental and Occupational Health 804
  • Physiology 667
Replace Olli Simell with:
Olli Simell Finland
Kirsi H. Pietiläinen Finland
Martin Silink Australia
Daniel E. Hale United States
Sandra L. Jackson United States
Marie‐Claude Vohl Canada
William G. Christen United States
M. Guillermo Herrera United States
John Yarnell United Kingdom
Judith S. Gavaler United States
Marie Lambert relative to Olli Simell Finland Olli Simell's profile →
Citations per field
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Olli Simell · 1×
Citations per year

Countries citing papers authored by Marie Lambert

Since Specialization
Citations

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

Fields of papers citing papers by Marie Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 144 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008213
2 1990185
3 2009180
4 2004171
5 2004167
6 2003166
7 2004143
8 1995126
9 1997122
10 2007113
11 2001112
12 2010100
13 200696
14 201194
15 199193
16 201180
17 200380
18 201279
19
The Québec Child and Adolescent Health and Social Survey: design and methods of a cardiovascular risk factor survey for youth.
200379
20 200878

About Marie Lambert

Marie Lambert is a scholar working on Molecular Biology, Surgery, Clinical Biochemistry, Public Health, Environmental and Occupational Health and Physiology, having authored 144 papers that have together received 5.3k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (25 papers), Obesity, Physical Activity, Diet (20 papers), Folate and B Vitamins Research (8 papers), Amino Acid Enzymes and Metabolism (8 papers), Diet and metabolism studies (8 papers), Peroxisome Proliferator-Activated Receptors (7 papers), Cholesterol and Lipid Metabolism (7 papers) and Lipid metabolism and disorders (5 papers). The work is most often cited by research in Clinical Biochemistry (659 citations), Biochemistry (320 citations), Endocrinology, Diabetes and Metabolism (520 citations), Public Health, Environmental and Occupational Health (804 citations) and Physiology (667 citations). Marie Lambert has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Jennifer O’Loughlin, Émile Lévy, Gilles Paradis, Edgard Delvin, James A. Hanley, Jennifer J. McGrath, Tracie A. Barnett, Katherine Gray‐Donald, Grant A. Mitchell and Angelo Tremblay. Their work appears in journals such as Clinical Chemistry, Obesity, Journal of Pediatric Gastroenterology and Nutrition, International Journal of Obesity and The Journal of Pediatrics.

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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