S. Meijssen

17 total papers · 534 total citations
13 papers, 438 citations indexed

About

S. Meijssen is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, S. Meijssen has authored 13 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Cardiology and Cardiovascular Medicine and 4 papers in Surgery. Recurrent topics in S. Meijssen's work include Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Lipid metabolism and disorders (6 papers) and Lipoproteins and Cardiovascular Health (4 papers). S. Meijssen is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Lipid metabolism and disorders (6 papers) and Lipoproteins and Cardiovascular Health (4 papers). S. Meijssen collaborates with scholars based in Netherlands and United States. S. Meijssen's co-authors include M. Castro Cabezas, D.W. Erkelens, C. Verseyden, Manuel Castro Cabezas, Wilmar M. Wiersinga, Francisca Hudig, Onno Bakker, Johannes van Dijk, Hans Jansen and Constantijn J.M. Halkes and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Biochemical and Biophysical Research Communications and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

S. Meijssen

13 papers receiving 421 citations

Author Peers

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

Author						Papers	Cites
S. Meijssen	271	157	132	115	93	13	438
Anders Hamsten	225 0.8×	143 0.9×	204 1.5×	129 1.1×	67 0.7×	8	480
Taro Sakaue	296 1.1×	119 0.8×	214 1.6×	111 1.0×	67 0.7×	7	455
P. A. Soltys	256 0.9×	161 1.0×	116 0.9×	91 0.8×	115 1.2×	7	450
Evangelia Zvintzou	178 0.7×	101 0.6×	155 1.2×	79 0.7×	86 0.9×	22	434
Niina Mero	338 1.2×	185 1.2×	146 1.1×	125 1.1×	78 0.8×	7	464
Moon Ho Kang	219 0.8×	165 1.1×	119 0.9×	142 1.2×	67 0.7×	17	448
J.B. Ruidavets	147 0.5×	127 0.8×	154 1.2×	47 0.4×	45 0.5×	16	391
Y.-D. Ida Chen	232 0.9×	153 1.0×	175 1.3×	84 0.7×	96 1.0×	7	468
Miwako Inagaki	154 0.6×	127 0.8×	173 1.3×	124 1.1×	79 0.8×	13	456
Camilla Skoglund-Andersson	174 0.6×	89 0.6×	128 1.0×	62 0.5×	61 0.7×	8	368

Countries citing papers authored by S. Meijssen

Since Specialization

Citations

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

Fields of papers citing papers by S. Meijssen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Meijssen

This figure shows the co-authorship network connecting the top 25 collaborators of S. Meijssen. A scholar is included among the top collaborators of S. Meijssen 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 S. Meijssen. S. Meijssen 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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