G. Luc

4.0k citations
53 papers · 3.4k · h-index 28

Impact in

Papers in

G. Luc

51 papers receiving 3.2k citations

Peers

G. Luc
Comparison fields: 5 of 104
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Cardiology and Cardiovascular Medicine 1.1k
  • Hematology 327
  • Biological Psychiatry 53
  • Internal Medicine 71
Replace Shusuke Yagi with:
Shusuke Yagi Japan
Takeshi Soeki Japan
Pamela A. Sakkinen United States
Yoshimasa Aso Japan
Suzanne Lussier‐Cacan Canada
Speranza Rubattu Italy
Lung‐An Hsu Taiwan
Isabella Russo Italy
Panagiotis Theofilis Greece
Toshihiko Inukai Japan
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Citations per field
00.5×3.5×
Shusuke Yagi · 1×
Citations per year

Countries citing papers authored by G. Luc

Since Specialization
Citations

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

Fields of papers citing papers by G. Luc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994360
2 1995261
3 1994231
4 1992215
5 1995212
6 2005210
7 1994193
8 2004178
9 1996144
10 1996125
11 1993105
12 1996103
13 199196
14 199686
15 199680
16 200471
17 201159
18 200653
19 200051
20
Compound heterozygote for lipoprotein lipase deficiency: Ser----Thr244 and transition in 3' splice site of intron 2 (AG----AA) in the lipoprotein lipase gene.
199050

About G. Luc

G. Luc is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cancer Research, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 53 papers that have together received 3.4k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (24 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (21 papers), Cancer, Lipids, and Metabolism (8 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Cholesterol and Lipid Metabolism (3 papers), Hormonal Regulation and Hypertension (3 papers), Blood properties and coagulation (3 papers) and Atherosclerosis and Cardiovascular Diseases (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Cardiology and Cardiovascular Medicine (1.1k citations), Hematology (327 citations), Biological Psychiatry (53 citations) and Internal Medicine (71 citations). G. Luc has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Dominique Arveiler, A. Evans, François Cambien, Pierre Ducimetière, Odette Poirier, Philippe Amouyel, Jean‐Pierre Cambou, Jean‐Marie Bard, A. Bingham and Sylvain Ricard. Their work appears in journals such as Atherosclerosis, Journal of Lipid Research, Circulation, Metabolism and European Journal of Clinical Investigation.

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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