V. Atger

2.3k citations
44 papers · 2.0k · h-index 25

Impact in

Papers in

V. Atger

43 papers receiving 2.0k citations

Peers

V. Atger
Comparison fields: 5 of 92
  • Endocrinology, Diabetes and Metabolism 625
  • Surgery 1.0k
  • Cancer Research 272
  • Biochemistry 128
  • Clinical Biochemistry 110
Replace Veneracion G. Cabana with:
Veneracion G. Cabana United States
S T Kunitake United States
Elaine L. Gong United States
Allen D. Cooper United States
J M Hoeg United States
Kaoru Kameda-Takemura Japan
Ginny Kellner-Weibel United States
Ba‐Bie Teng United States
Fumihiko Matsuura Japan
Manjula Chaddha United States
V. Atger relative to Veneracion G. Cabana United States Veneracion G. Cabana's profile →
Citations per field
00.5×1.5×2.0×
Veneracion G. Cabana · 1×
Citations per year

Countries citing papers authored by V. Atger

Since Specialization
Citations

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

Fields of papers citing papers by V. Atger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999432
2 1994189
3 1997153
4 1997134
5 199695
6 199284
7 199979
8 199266
9 200059
10 199750
11 198942
12 200142
13
Serum Lp(a) as a Discriminant Marker of Early Atherosclerotic Plaque at Three Extracoronary Sites in Hypercholesterolemic Men
199242
14 199541
15 199439
16 199833
17 199533
18 199932
19 200132
20 199631

About V. Atger

V. Atger is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Cancer Research and Epidemiology, having authored 44 papers that have together received 2.0k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers), Cholesterol and Lipid Metabolism (14 papers), Lipoproteins and Cardiovascular Health (12 papers), Cancer, Lipids, and Metabolism (10 papers), Lipid metabolism and disorders (9 papers), Liver Disease Diagnosis and Treatment (4 papers), Antioxidant Activity and Oxidative Stress (4 papers) and Atherosclerosis and Cardiovascular Diseases (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (625 citations), Surgery (1.0k citations), Cancer Research (272 citations), Biochemistry (128 citations) and Clinical Biochemistry (110 citations). V. Atger has collaborated with scholars based in France, United States and Japan. Frequent co-authors include George H. Rothblat, N. Moatti, Michael C. Phillips, Margarita de la Llera-Moya, Natalie Fournier, Ginny Kellner-Weibel, David L. Williams, Margarita de la Llera Moya, Jean‐Louis Paul and Philippe Giral. Their work appears in journals such as Atherosclerosis, Clinical Chemistry, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Lipid Research and European Journal of 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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