M.J. Veerkamp

13 total papers · 496 total citations
7 papers, 384 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 384 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, Henk J. Blom and Martin den Heijer 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 372 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
M.J. Veerkamp	226	223	181	84	57	7	384
Heikki Frick	216 1.0×	214 1.0×	155 0.9×	56 0.7×	59 1.0×	9	423
Kellie Sara Duffett Carlson	199 0.9×	184 0.8×	108 0.6×	74 0.9×	80 1.4×	9	439
Nicholas Colyvas	160 0.7×	200 0.9×	132 0.7×	40 0.5×	80 1.4×	7	344
A. Asplund‐Carlson	219 1.0×	146 0.7×	177 1.0×	72 0.9×	59 1.0×	10	349
Maria E. Rämet	166 0.7×	138 0.6×	105 0.6×	60 0.7×	50 0.9×	6	371
Camilla Ditlev Lindhardt Johannesen	215 1.0×	279 1.3×	113 0.6×	61 0.7×	84 1.5×	7	405
Juying Ji	286 1.3×	232 1.0×	126 0.7×	104 1.2×	102 1.8×	11	420
Giovanni Pigna	165 0.7×	144 0.6×	163 0.9×	57 0.7×	72 1.3×	9	332
Harald Elster	149 0.7×	244 1.1×	147 0.8×	41 0.5×	68 1.2×	5	366
Barbara Labrot	146 0.6×	243 1.1×	144 0.8×	39 0.5×	67 1.2×	6	375

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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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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