M.J. Veerkamp

496 total citations
7 papers, 387 citations indexed

About

M.J. Veerkamp is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, M.J. Veerkamp has authored 7 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Cardiology and Cardiovascular Medicine and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in M.J. Veerkamp's work include Lipid metabolism and disorders (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Lipoproteins and Cardiovascular Health (4 papers). M.J. Veerkamp is often cited by papers focused on Lipid metabolism and disorders (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Lipoproteins and Cardiovascular Health (4 papers). M.J. Veerkamp collaborates with scholars based in Netherlands and United States. M.J. Veerkamp's co-authors include Anton F. H. Stalenhoef, Jacqueline de Graaf, Pierre N.M. Demacker, Jan C.M. Hendriks, S.J.H. Bredie, Santica M. Marcovina, Martin den Heijer and Henk J. Blom and has published in prestigious journals such as Circulation, Arteriosclerosis Thrombosis and Vascular Biology and Atherosclerosis.

In The Last Decade

M.J. Veerkamp

7 papers receiving 375 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
M.J. Veerkamp Netherlands	7	228	225	184	84	57	7	387
Mingde Fu China	13	307 1.3×	235 1.0×	141 0.8×	65 0.8×	88 1.5×	26	433
A. Grimaldi France	10	214 0.9×	158 0.7×	153 0.8×	67 0.8×	21 0.4×	23	405
Juying Ji Australia	9	285 1.3×	232 1.0×	126 0.7×	104 1.2×	103 1.8×	11	420
Peggy Kostakou Greece	15	157 0.7×	167 0.7×	212 1.2×	67 0.8×	53 0.9×	33	458
A. Asplund‐Carlson Sweden	8	219 1.0×	146 0.6×	177 1.0×	72 0.9×	59 1.0×	10	349
Toshimitsu SAITO Japan	4	307 1.3×	248 1.1×	148 0.8×	60 0.7×	136 2.4×	5	452
Giovanni Pigna Italy	8	165 0.7×	145 0.6×	165 0.9×	57 0.7×	73 1.3×	9	333
Frank G. Perton Netherlands	13	293 1.3×	265 1.2×	81 0.4×	91 1.1×	77 1.4×	23	505
Graciela López Argentina	16	156 0.7×	137 0.6×	124 0.7×	105 1.3×	53 0.9×	39	426
Anders Berg Wulff Denmark	8	247 1.1×	291 1.3×	160 0.9×	78 0.9×	82 1.4×	20	438

Countries citing papers authored by M.J. Veerkamp

Since Specialization

Citations

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

Fields of papers citing papers by M.J. Veerkamp

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.J. Veerkamp. 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 M.J. Veerkamp. The network helps show where M.J. Veerkamp may publish in the future.

Co-authorship network of co-authors of M.J. Veerkamp

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

All Works

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7 of 7 papers shown

Veerkamp, M.J., et al.. (2005). Elevated leptin levels in subjects with familial combined hyperlipidemia are associated with the increased risk for CVD. Atherosclerosis. 183(2). 355–360. 17 indexed citations

Veerkamp, M.J., Jacqueline de Graaf, & Anton F. H. Stalenhoef. (2005). Role of Insulin Resistance in Familial Combined Hyperlipidemia. Arteriosclerosis Thrombosis and Vascular Biology. 25(5). 1026–1031. 48 indexed citations

Veerkamp, M.J., Jacqueline de Graaf, Jan C.M. Hendriks, Pierre N.M. Demacker, & Anton F. H. Stalenhoef. (2004). Nomogram to Diagnose Familial Combined Hyperlipidemia on the Basis of Results of a 5-Year Follow-Up Study. Circulation. 109(24). 2980–2985. 100 indexed citations

Veerkamp, M.J., Jacqueline de Graaf, Martin den Heijer, Henk J. Blom, & Anton F. H. Stalenhoef. (2002). Plasma homocysteine in subjects with familial combined hyperlipidemia. Atherosclerosis. 166(1). 111–117. 15 indexed citations

Veerkamp, M.J., Jacqueline de Graaf, S.J.H. Bredie, et al.. (2002). Diagnosis of Familial Combined Hyperlipidemia Based on Lipid Phenotype Expression in 32 Families. Arteriosclerosis Thrombosis and Vascular Biology. 22(2). 274–282. 110 indexed citations

Graaf, Jacqueline de, M.J. Veerkamp, & Anton F. H. Stalenhoef. (2002). Metabolic pathogenesis of familial combined hyperlipidaemia with emphasis on insulin resistance, adipose tissue metabolism and free fatty acids.. PubMed. 95 Suppl 42. 46–53. 33 indexed citations

Demacker, Pierre N.M., M.J. Veerkamp, S.J.H. Bredie, et al.. (2000). Comparison of the measurement of lipids and lipoproteins versus assay of apolipoprotein B for estimation of coronary heart disease risk: a study in familial combined hyperlipidemia. Atherosclerosis. 153(2). 483–490. 64 indexed citations

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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