Bart Lammers

609 citations
17 papers · 492 · h-index 10

Impact in

    • Cancer, Lipids, and Metabolism
  • Surgery top 10%
    • Cholesterol and Lipid Metabolism
    • Lipoproteins and Cardiovascular Health

Papers in

Bart Lammers

17 papers receiving 488 citations

Peers

Bart Lammers
Comparison fields: 5 of 66
  • Cancer Research 84
  • Surgery 232
  • Biochemistry 37
  • Endocrinology, Diabetes and Metabolism 74
  • Immunology 71
Replace Silvère Baron with:
Silvère Baron France
Zhang Ji China
Debi K. Swertfeger United States
Marcus D. Skaflen United States
Jerry Angdisen United States
Diane Thomas United States
Ainhoa Iglesias–Ara Spain
Joon-Young Kim South Korea
Jérôme Paysant France
S. Q. Yang United States
Bart Lammers relative to Silvère Baron France Silvère Baron's profile →
Citations per field
00.5×1.5×
Silvère Baron · 1×
Citations per year

Countries citing papers authored by Bart Lammers

Since Specialization
Citations

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

Fields of papers citing papers by Bart Lammers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2011115
2 201164
3 200957
4 201045
5 201044
6 200839
7 201232
8 200922
9 201422
10 201115
11 20149
12 20168
13 20126
14 20206
15 20214
16 20173
17 20131

About Bart Lammers

Bart Lammers is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Ocean Engineering, Computational Mechanics and Molecular Biology, having authored 17 papers that have together received 492 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Cyclone Separators and Fluid Dynamics (2 papers), Hormonal Regulation and Hypertension (2 papers), Offshore Engineering and Technologies (2 papers), Lipid metabolism and biosynthesis (1 paper), Cancer, Lipids, and Metabolism (1 paper) and Lipoproteins and Cardiovascular Health (1 paper). The work is most often cited by research in Cancer Research (84 citations), Surgery (232 citations), Biochemistry (37 citations), Endocrinology, Diabetes and Metabolism (74 citations) and Immunology (71 citations). Bart Lammers has collaborated with scholars based in Netherlands, China and United States. Frequent co-authors include Miranda Van Eck, Ying Zhao, Illiana Meurs, Theo J.C. van Berkel, Menno Hoekstra, Reeni B. Hildebrand, Dan Ye, Ruud Out, Johan Kuiper and Zhaosha Li. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Atherosclerosis, PLoS ONE, Journal of Lipid Research and Journal of Thrombosis and Haemostasis.

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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