Menno Vergeer

1.2k citations
15 papers · 869 indexed · h-index 11
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers)Cholesterol and Lipid Metabolism (8 papers)Lipoproteins and Cardiovascular Health (7 papers)

In The Last Decade

Menno Vergeer

15 papers receiving 854 citations

Peers

Menno Vergeer
Comparison fields: 5 of 78
  • Surgery 518
  • Endocrinology, Diabetes and Metabolism 437
  • Cardiology and Cardiovascular Medicine 185
  • Molecular Biology 164
  • Cancer Research 164
Replace Takeshi Kujiraoka with:
Takeshi Kujiraoka Japan
Alice Ossoli Italy
Anne Hiukka Finland
J. Frohlich Canada
Denise Drazul‐Schrader United States
Rajesh Movva United States
Afroditi P. Tambaki Greece
L A Zech United States
Mitsuaki Ishihara Japan
Matthew R. Ban Canada
Menno Vergeer relative to Takeshi Kujiraoka Japan Takeshi Kujiraoka's profile →
Citations per field
00.5×1.5×1.8×
Takeshi Kujiraoka · 1×
Citations per year

Countries citing papers authored by Menno Vergeer

Since Specialization
Citations

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

Fields of papers citing papers by Menno Vergeer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Menno Vergeer

This figure shows the co-authorship network connecting the top 25 collaborators of Menno Vergeer. A scholar is included among the top collaborators of Menno Vergeer 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 Menno Vergeer. Menno Vergeer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 1
2 15
3 20
4 255
5
In vivo Tissue Cholesterol Efflux is Impaired in Carriers of Mutations in APOA1 and ABCA1
1
6 167
7 33
8 100
9 18
10 47
11 47
12 1
13 97
14 60
15 7

About Menno Vergeer

Menno Vergeer is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry and Surgery, having authored 15 papers that have together received 869 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Cholesterol and Lipid Metabolism (8 papers) and Lipoproteins and Cardiovascular Health (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (437 citations), Surgery (518 citations) and Cancer Research (164 citations). Menno Vergeer has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include John J.P. Kastelein, Adriaan G. Holleboom, Jan Albert Kuivenhoven, Erik S.G. Stroes, Geesje M. Dallinga‐Thie, Remco Franssen, Jeroen A. Sierts, Suzanne J.A. Korporaal, G. Kees Hovingh and Theo J.C. van Berkel. Their work appears in journals such as New England Journal of Medicine, Circulation and PLoS ONE.

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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