A. van Tol

28 papers receiving 872 citations

Peers

A. van Tol
Comparison fields: 5 of 72
  • Biochemistry 173
  • Clinical Biochemistry 155
  • Endocrinology, Diabetes and Metabolism 371
  • Cancer Research 207
  • Cardiology and Cardiovascular Medicine 146
Replace Virgil S. LeQuire with:
Virgil S. LeQuire United States
Gunilla Bengtsson Sweden
Patricia Sisson United States
M E Pape United States
Angelica M. Ortegon United States
M R McCall United States
Dawn Marchadier United States
Michael E. Pape United States
Athina-Despina Kalopissis France
Carlos Soler‐Argilaga United States
A. van Tol relative to Virgil S. LeQuire United States Virgil S. LeQuire's profile →
Citations per field
00.5×
Virgil S. LeQuire · 1×
Citations per year

Countries citing papers authored by A. van Tol

Since Specialization
Citations

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

Fields of papers citing papers by A. van Tol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. van Tol. 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 A. van Tol. The network helps show where A. van Tol may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Ability of plasma to promote cholesterol efflux out of fibroblasts is associated with the -629C -> A cholesteryl ester transfer protein
20071
2 200751
3 200757
4 200664
5 20041
6
Moderate alcohol consumption stimulates early steps in reverse cholesterol transport
20011
7 20012
8 199812
9 19941
10 198629
11 19842
12 1980227
13 197862
14 19756
15 197534
16 197419
17 197281
18 197243
19 197018
20 197049

About A. van Tol

A. van Tol is a scholar working on Clinical Biochemistry, Endocrinology, Diabetes and Metabolism, Cancer Research, Biochemistry and Molecular Biology, having authored 28 papers that have together received 938 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Mitochondrial Function and Pathology (6 papers), Lipoproteins and Cardiovascular Health (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Metabolism and Genetic Disorders (4 papers), Cancer, Lipids, and Metabolism (4 papers) and Metabolism, Diabetes, and Cancer (4 papers). The work is most often cited by research in Biochemistry (173 citations), Clinical Biochemistry (155 citations), Endocrinology, Diabetes and Metabolism (371 citations), Cancer Research (207 citations) and Cardiology and Cardiovascular Medicine (146 citations). A. van Tol has collaborated with scholars based in Netherlands, United States and France. Frequent co-authors include W.C. Hülsmann, Hans Jansen, William J. Black, Geesje M. Dallinga‐Thie, B.L. Horecker, Fernando Jaramillo‐Juárez, Jan Willem de Jong, F. Vlaspolder, Teus van Gent and B.L. Horecker. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Bioenergetics, Atherosclerosis, Archives of Biochemistry and Biophysics, Atherosclerosis Supplements and Biochemical and Biophysical Research Communications.

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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