Johan G. Schnitzler

992 total citations
15 papers, 701 citations indexed

About

Johan G. Schnitzler is a scholar working on Immunology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Johan G. Schnitzler has authored 15 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 8 papers in Surgery and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Johan G. Schnitzler's work include Atherosclerosis and Cardiovascular Diseases (8 papers), Lipoproteins and Cardiovascular Health (7 papers) and Immune cells in cancer (4 papers). Johan G. Schnitzler is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (8 papers), Lipoproteins and Cardiovascular Health (7 papers) and Immune cells in cancer (4 papers). Johan G. Schnitzler collaborates with scholars based in Netherlands, United States and Germany. Johan G. Schnitzler's co-authors include Jeffrey Kroon, Erik S.G. Stroes, Lubna Ali, Renate M. Hoogeveen, Menno P.J. de Winther, Sophie J. Bernelot Moens, Lotte C.A. Stiekema, Sotirios Tsimikas, Simone L. Verweij and Koen H.M. Prange and has published in prestigious journals such as Circulation Research, Stroke and European Heart Journal.

In The Last Decade

Johan G. Schnitzler

15 papers receiving 696 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Johan G. Schnitzler Netherlands	12	356	274	190	149	145	15	701
Renate M. Hoogeveen Netherlands	10	374 1.1×	241 0.9×	211 1.1×	137 0.9×	120 0.8×	19	705
Uwe Schoenbeck United States	6	243 0.7×	238 0.9×	104 0.5×	113 0.8×	112 0.8×	7	663
Anjali Ganda United States	8	176 0.5×	170 0.6×	208 1.1×	197 1.3×	60 0.4×	10	669
Adam Taleb United States	7	274 0.8×	134 0.5×	129 0.7×	151 1.0×	105 0.7×	12	536
Manal Zabalawi United States	17	304 0.9×	269 1.0×	78 0.4×	346 2.3×	92 0.6×	22	810
Rebecca Nuzzo United States	6	131 0.4×	277 1.0×	317 1.7×	138 0.9×	66 0.5×	8	734
Paul Robillard France	15	268 0.8×	89 0.3×	103 0.5×	173 1.2×	108 0.7×	23	603
Ashley Brooks United Kingdom	8	377 1.1×	100 0.4×	117 0.6×	370 2.5×	119 0.8×	12	927
Iwona Żak Poland	16	135 0.4×	104 0.4×	144 0.8×	133 0.9×	64 0.4×	56	593

Countries citing papers authored by Johan G. Schnitzler

Since Specialization

Citations

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

Fields of papers citing papers by Johan G. Schnitzler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johan G. Schnitzler. 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 Johan G. Schnitzler. The network helps show where Johan G. Schnitzler may publish in the future.

Co-authorship network of co-authors of Johan G. Schnitzler

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

All Works

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15 of 15 papers shown

Poels, Kikkie, Johan G. Schnitzler, Farahnaz Waissi, et al.. (2020). Inhibition of PFKFB3 Hampers the Progression of Atherosclerosis and Promotes Plaque Stability. Frontiers in Cell and Developmental Biology. 8. 581641–581641. 48 indexed citations

Stiekema, Lotte C.A., Koen H.M. Prange, Renate M. Hoogeveen, et al.. (2020). Potent lipoprotein(a) lowering following apolipoprotein(a) antisense treatment reduces the pro-inflammatory activation of circulating monocytes in patients with elevated lipoprotein(a). European Heart Journal. 41(24). 2262–2271. 77 indexed citations

Waissi, Farahnaz, Mirthe Dekker, Nathalie Timmerman, et al.. (2020). Elevated Lp(a) (Lipoprotein[a]) Levels Increase Risk of 30-Day Major Adverse Cardiovascular Events in Patients Following Carotid Endarterectomy. Stroke. 51(10). 2972–2982. 15 indexed citations

Schnitzler, Johan G., Kikkie Poels, Lotte C.A. Stiekema, et al.. (2020). Short-term regulation of hematopoiesis by lipoprotein(a) results in the production of pro-inflammatory monocytes. International Journal of Cardiology. 315. 81–85. 14 indexed citations

Schnitzler, Johan G., Kim E. Dzobo, Nick S. Nurmohamed, Erik S.G. Stroes, & Jeffrey Kroon. (2020). Surmounting the endothelial barrier for delivery of drugs and imaging tracers. Atherosclerosis. 315. 93–101. 5 indexed citations

Schnitzler, Johan G., Renate M. Hoogeveen, Lubna Ali, et al.. (2020). Atherogenic Lipoprotein(a) Increases Vascular Glycolysis, Thereby Facilitating Inflammation and Leukocyte Extravasation. Circulation Research. 126(10). 1346–1359. 131 indexed citations

Schnitzler, Johan G., et al.. (2019). Lipoprotein(a) as Orchestrator of Calcific Aortic Valve Stenosis. Biomolecules. 9(12). 760–760. 25 indexed citations

Bakker, Guido J., Johan G. Schnitzler, Siroon Bekkering, et al.. (2019). Oral vancomycin treatment does not alter markers of postprandial inflammation in lean and obese subjects. Physiological Reports. 7(16). e14199–e14199. 12 indexed citations

Ali, Lubna, Johan G. Schnitzler, & Jeffrey Kroon. (2018). Metabolism: The road to inflammation and atherosclerosis. Current Opinion in Lipidology. 29(6). 474–480. 69 indexed citations

10.

Schnitzler, Johan G., Geesje M. Dallinga‐Thie, & Jeffrey Kroon. (2018). The Role of (Modified) Lipoproteins in Vascular Function: A Duet Between Monocytes and the Endothelium. Current Medicinal Chemistry. 26(9). 1594–1609. 17 indexed citations

11.

Stiekema, Lotte C.A., Johan G. Schnitzler, Matthias Nahrendorf, & Erik S.G. Stroes. (2017). The maturation of a ‘neural–hematopoietic’ inflammatory axis in cardiovascular disease. Current Opinion in Lipidology. 28(6). 507–512. 9 indexed citations

12.

Schnitzler, Johan G., Sophie J. Bernelot Moens, Guido J. Bakker, et al.. (2017). Nile Red Quantifier: a novel and quantitative tool to study lipid accumulation in patient-derived circulating monocytes using confocal microscopy. Journal of Lipid Research. 58(11). 2210–2219. 23 indexed citations

13.

Moens, Sophie J. Bernelot, Annette E. Neele, Jeffrey Kroon, et al.. (2017). PCSK9 monoclonal antibodies reverse the pro-inflammatory profile of monocytes in familial hypercholesterolaemia. European Heart Journal. 38(20). 1584–1593. 149 indexed citations

14.

Moens, Sophie J. Bernelot, Simone L. Verweij, Johan G. Schnitzler, et al.. (2017). Remnant Cholesterol Elicits Arterial Wall Inflammation and a Multilevel Cellular Immune Response in Humans. Arteriosclerosis Thrombosis and Vascular Biology. 37(5). 969–975. 103 indexed citations

15.

Schnitzler, Johan G.. (1983). Forensic psychiatry in the Netherlands: Positioning and functioning of Dutch forensic psychiatrists. International Journal of Law and Psychiatry. 6(3-4). 443–455. 4 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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