V. Atger

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

V. Atger

43 papers receiving 2.0k citations

Peers

V. Atger
Comparison fields: 5 of 94
  • Endocrinology, Diabetes and Metabolism 724
  • Surgery 1.2k
  • Cancer Research 329
  • Biochemistry 140
  • Clinical Biochemistry 124
Replace Veneracion G. Cabana with:
Veneracion G. Cabana 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
J. Kar Kruijt Netherlands
Larbi Krimbou Canada
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-authorship network

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
#Work
1 20060
2 200132
3 200141
4 20009
5 199932
6 199979
7 19998
8 19986
9 199833
10 1997152
11 199631
12 199541
13 199531
14 199425
15 19946
16 199011
17 199012
18 198820
19
Polyacrylamide gel electrophoresis in quantification of high-density lipoprotein cholesterol.
19854
20 19853

About V. Atger

V. Atger is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Biochemistry, having authored 44 papers that have together received 2.0k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (19 papers), Lipoproteins and Cardiovascular Health (14 papers), Cholesterol and Lipid Metabolism (14 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 (724 citations), Surgery (1.2k citations) and Cancer Research (329 citations). V. Atger has collaborated with scholars based in France, United States and British Virgin Islands. 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, European Journal of Biochemistry and Journal of Lipid 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026