Christine Labeur

1.8k citations
45 papers · 1.5k indexed · h-index 24
Topics
Lipoproteins and Cardiovascular Health (11 papers)Cholesterol and Lipid Metabolism (10 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers)

In The Last Decade

Christine Labeur

45 papers receiving 1.5k citations

Peers

Christine Labeur
Comparison fields: 5 of 95
  • Surgery 723
  • Molecular Biology 636
  • Endocrinology, Diabetes and Metabolism 406
  • Physiology 294
  • Cancer Research 229
Replace S Ishibashi with:
S Ishibashi Japan
Dilip Amin United States
Padmaja Dhanasekaran United States
Jan Fleckner Denmark
Patrick Linsel‐Nitschke Germany
Hideki Doi Japan
Andelko Hrzenjak Austria
Yasmeen Rahimi United States
Margaret Nickel United States
Christine Labeur relative to S Ishibashi Japan S Ishibashi's profile →
Citations per field
00.5×1.5×
S Ishibashi · 1×
Citations per year

Countries citing papers authored by Christine Labeur

Since Specialization
Citations

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

Fields of papers citing papers by Christine Labeur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine Labeur

This figure shows the co-authorship network connecting the top 25 collaborators of Christine Labeur. A scholar is included among the top collaborators of Christine Labeur based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christine Labeur. Christine Labeur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 16
2 57
3 9
4 26
5 30
6 5
7 5
8 8
9 109
10 73
11 29
12 82
13 19
14 27
15 8
16 13
17 15
18 26
19 18
20 89

About Christine Labeur

Christine Labeur is a scholar working on Endocrinology, Diabetes and Metabolism, Aging and Cancer Research, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (11 papers), Cholesterol and Lipid Metabolism (10 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (406 citations), Surgery (723 citations) and Biochemistry (112 citations). Christine Labeur has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include M. Rosseneu, Maryvonne Rosseneu, Joël Vandekerckhove, Frank Peelman, Berlinda Vanloo, Jan Tavernier, J. Shepherd, Robert Brasseur, Nicolas Duverger and Thierry Pillot. Their work appears in journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Biochemistry.

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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