C.J.N. Verkleij

445 total citations
7 papers, 305 citations indexed

About

C.J.N. Verkleij is a scholar working on Hematology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, C.J.N. Verkleij has authored 7 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Hematology, 3 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in C.J.N. Verkleij's work include Blood Coagulation and Thrombosis Mechanisms (4 papers), Blood properties and coagulation (2 papers) and Protease and Inhibitor Mechanisms (2 papers). C.J.N. Verkleij is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (4 papers), Blood properties and coagulation (2 papers) and Protease and Inhibitor Mechanisms (2 papers). C.J.N. Verkleij collaborates with scholars based in Netherlands and United Kingdom. C.J.N. Verkleij's co-authors include Jan H. von der Thüsen, Th.J.C. van Berkel, Ramon de Nooijer, J. Wouter Jukema, E. E. van der Wall, Andrew H. Baker, E.A.L. Biessen, Pauline F. Marx, Johan Kuiper and Erik A.L. Biessen and has published in prestigious journals such as Arteriosclerosis Thrombosis and Vascular Biology, Thrombosis and Haemostasis and Thrombosis Research.

In The Last Decade

C.J.N. Verkleij

7 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C.J.N. Verkleij Netherlands 7 109 88 84 74 67 7 305
Kiat Tsong Tan United Kingdom 9 78 0.7× 134 1.5× 92 1.1× 55 0.7× 82 1.2× 20 420
Talina Davis United States 5 153 1.4× 137 1.6× 34 0.4× 88 1.2× 89 1.3× 5 446
Rui‐Yi Lu China 8 183 1.7× 202 2.3× 107 1.3× 33 0.4× 68 1.0× 13 477
Ariane Melchior‐Becker Germany 9 39 0.4× 172 2.0× 79 0.9× 31 0.4× 76 1.1× 9 395
Nwe Nwe Soe United States 8 86 0.8× 287 3.3× 33 0.4× 29 0.4× 62 0.9× 14 425
Zaher Abouhamze United States 7 92 0.8× 147 1.7× 47 0.6× 26 0.4× 127 1.9× 8 351
Astrid Trion Netherlands 5 77 0.7× 80 0.9× 28 0.3× 84 1.1× 99 1.5× 5 325
Emina Vorkapić Sweden 12 66 0.6× 90 1.0× 56 0.7× 27 0.4× 106 1.6× 18 357
P.K. Epling-Burnette United States 12 165 1.5× 114 1.3× 46 0.5× 57 0.8× 81 1.2× 26 412
Yasuhiko Tomino Japan 11 113 1.0× 83 0.9× 21 0.3× 34 0.5× 27 0.4× 18 383

Countries citing papers authored by C.J.N. Verkleij

Since Specialization
Citations

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

Fields of papers citing papers by C.J.N. Verkleij

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.J.N. Verkleij. 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 C.J.N. Verkleij. The network helps show where C.J.N. Verkleij may publish in the future.

Co-authorship network of co-authors of C.J.N. Verkleij

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

All Works

7 of 7 papers shown
1.
Verkleij, C.J.N., Bregje van Zaane, Dees P. M. Brandjes, et al.. (2012). Thrombin-activatable fibrinolysis inhibitor in hypothyroidism and hyperthyroxinaemia. Thrombosis and Haemostasis. 109(2). 214–220. 15 indexed citations
2.
Verkleij, C.J.N., Joris J. T. H. Roelofs, Stefan R. Havik, Joost C.M. Meijers, & Pauline F. Marx. (2010). The role of thrombin-activatable fibrinolysis inhibitor in diabetic wound healing. Thrombosis Research. 126(5). 442–446. 15 indexed citations
3.
Verkleij, C.J.N., et al.. (2010). The Hemostatic System in Patients With Type 2 Diabetes With and Without Cardiovascular Disease. Clinical and Applied Thrombosis/Hemostasis. 17(6). E57–E63. 27 indexed citations
4.
Verkleij, C.J.N., Max Nieuwdorp, Victor E. A. Gerdes, et al.. (2009). The effects of hyperglycaemia on thrombin-activatable fibrinolysis inhibitor. Thrombosis and Haemostasis. 102(9). 460–468. 8 indexed citations
5.
Marx, Pauline F., C.J.N. Verkleij, Mercedes Valls Serón, & Joost C.M. Meijers. (2009). Recent Developments in Thrombin-Activatable Fibrinolysis Inhibitor Research. Mini-Reviews in Medicinal Chemistry. 9(10). 1165–1173. 12 indexed citations
6.
Nooijer, Ramon de, C.J.N. Verkleij, Jan H. von der Thüsen, et al.. (2005). Lesional Overexpression of Matrix Metalloproteinase-9 Promotes Intraplaque Hemorrhage in Advanced Lesions But Not at Earlier Stages of Atherogenesis. Arteriosclerosis Thrombosis and Vascular Biology. 26(2). 340–346. 150 indexed citations
7.
Nooijer, Ramon de, Jan H. von der Thüsen, C.J.N. Verkleij, et al.. (2004). Overexpression of IL-18 Decreases Intimal Collagen Content and Promotes a Vulnerable Plaque Phenotype in Apolipoprotein-E–Deficient Mice. Arteriosclerosis Thrombosis and Vascular Biology. 24(12). 2313–2319. 78 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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