D Lambert

33 papers receiving 411 citations

Peers

D Lambert
Comparison fields: 5 of 85
  • Rheumatology 217
  • Clinical Biochemistry 35
  • Hematology 51
  • Obstetrics and Gynecology 24
  • Surgery 105
Replace Dilara Kaman with:
Dilara Kaman Türkiye
J N Mount United Kingdom
Øyvind Hetland Norway
J Gonin United States
Yulei Gao China
Maria Grazia Scuderi Italy
Asuman Gedikbaşı Türkiye
Usama A. Sharaf El Din Egypt
Bénédicte Bénéteau‐Burnat France
Ryo Nakamura Japan
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Citations per year

Countries citing papers authored by D Lambert

Since Specialization
Citations

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

Fields of papers citing papers by D Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000129
2 199245
3 199743
4 199233
5 200929
6 199720
7 199316
8 200115
9 200810
10 20239
11 20009
12 19869
13
Correlations between the apoprotein C composition of very-low-density lipoproteins and triglyceridemia in subjects with type IV hyperlipoproteinemia.
19819
14 19817
15 19946
16
Dietary calcium salts as protective agents and laminin P1 as a biochemical marker in chemically induced colon carcinogenesis in rats.
19966
17 20235
18
[Reference values of plasma and lipoprotein cholesterol and triacylglycerols in healthy children].
19845
19 19794
20
[Effect of procetofen on the lipoprotein profile in patients with type II hyperlipoproteinemia].
19794

About D Lambert

D Lambert is a scholar working on Surgery, Rheumatology, Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 34 papers that have together received 431 indexed citations. Recurring topics across this work include Folate and B Vitamins Research (9 papers), Cancer, Lipids, and Metabolism (8 papers), Lipid metabolism and disorders (7 papers), Lipoproteins and Cardiovascular Health (6 papers), Esophageal and GI Pathology (4 papers), Porphyrin Metabolism and Disorders (4 papers), Metabolism and Genetic Disorders (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). The work is most often cited by research in Rheumatology (217 citations), Clinical Biochemistry (35 citations), Hematology (51 citations), Obstetrics and Gynecology (24 citations) and Surgery (105 citations). D Lambert has collaborated with scholars based in France, Canada and Denmark. Frequent co-authors include J.P. Nicolas, Jean‐Louis Guéant, Michèle Pfister, Charles Adjalla, A. Chango, Suzanne Droesch, Didier Quilliot, Françoise Barbé, J. P. Nicolas and David S. Rosenblatt. Their work appears in journals such as Annals of Nutrition and Metabolism, Antibiotics, Amino Acids, The Journal of Nutritional Biochemistry and Scientific Reports.

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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