N Vinaimont

741 citations
15 papers · 634 · h-index 13

Impact in

Papers in

N Vinaimont

15 papers receiving 608 citations

Peers

N Vinaimont
Comparison fields: 5 of 64
  • Endocrinology, Diabetes and Metabolism 331
  • Biochemistry 56
  • Nutrition and Dietetics 103
  • Cardiology and Cardiovascular Medicine 144
  • Surgery 243
Replace Hans Caster with:
Hans Caster Belgium
Shaobin Zhong United States
D Mendelsohn South Africa
R. Vercaemst Belgium
Mary McCoy United States
J.D. Fesmire United States
D W Garber United States
H.A. van der Voort Netherlands
J. D. Thomson United States
P. Weisweiler Germany
N Vinaimont relative to Hans Caster Belgium Hans Caster's profile →
Citations per field
00.5×3.7×
Hans Caster · 1×
Citations per year

Countries citing papers authored by N Vinaimont

Since Specialization
Citations

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

Fields of papers citing papers by N Vinaimont

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 199194
2 199882
3 198168
4 198164
5 198152
6 198047
7 199442
8 198835
9 199232
10 198331
11 199929
12 198424
13 198223
14
Separation of lipoproteins in newborn plasma using an Airfuge ultracentrifuge.
19827
15
Lipoprotein patterns in newborns. Influence of nutritional factors.
19814

About N Vinaimont

N Vinaimont is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Pediatrics, Perinatology and Child Health and Epidemiology, having authored 15 papers that have together received 634 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Lipoproteins and Cardiovascular Health (4 papers), Birth, Development, and Health (3 papers), Computational Drug Discovery Methods (2 papers), Cancer, Lipids, and Metabolism (2 papers), Fatty Acid Research and Health (2 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (331 citations), Biochemistry (56 citations), Nutrition and Dietetics (103 citations), Cardiology and Cardiovascular Medicine (144 citations) and Surgery (243 citations). N Vinaimont has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include M. Rosseneu, J.P. Van Biervliet, R. Vercaemst, Hans Caster, F. M. Belpaire, Peter N. Herbert, Lisa Chan, Anne M. Chang, Fabrizia Faustinella and Lawrence C. Smith. Their work appears in journals such as Clinical Chemistry, Acta Paediatrica, Protein Engineering Design and Selection, The Journal of Pediatrics and Pediatric Research.

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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