E.A.L. Biessen

504 total citations
8 papers, 381 citations indexed

About

E.A.L. Biessen is a scholar working on Cancer Research, Molecular Biology and Immunology and Allergy. According to data from OpenAlex, E.A.L. Biessen has authored 8 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cancer Research, 3 papers in Molecular Biology and 3 papers in Immunology and Allergy. Recurrent topics in E.A.L. Biessen's work include Protease and Inhibitor Mechanisms (5 papers), Cell Adhesion Molecules Research (3 papers) and Diabetes and associated disorders (1 paper). E.A.L. Biessen is often cited by papers focused on Protease and Inhibitor Mechanisms (5 papers), Cell Adhesion Molecules Research (3 papers) and Diabetes and associated disorders (1 paper). E.A.L. Biessen collaborates with scholars based in Netherlands, United States and Austria. E.A.L. Biessen's co-authors include Ramon de Nooijer, J. Wouter Jukema, Th.J.C. van Berkel, E. E. van der Wall, Jan H. von der Thüsen, Theo J.C. van Berkel, Andrew H. Baker, C.J.N. Verkleij, Ilze Bot and Saskia C.A. de Jager and has published in prestigious journals such as Blood, Biochemical Journal and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

E.A.L. Biessen

8 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E.A.L. Biessen Netherlands 7 136 130 123 99 50 8 381
Margaret L. Snyder United States 11 289 2.1× 141 1.1× 197 1.6× 84 0.8× 48 1.0× 16 602
Behnoush Parviz Germany 10 101 0.7× 149 1.1× 149 1.2× 93 0.9× 16 0.3× 18 413
Yuji Matsuzawa Japan 11 150 1.1× 259 2.0× 71 0.6× 110 1.1× 34 0.7× 17 499
Leena Lindstedt Finland 8 184 1.4× 104 0.8× 94 0.8× 213 2.2× 43 0.9× 8 400
Marc W. Pladet United States 9 189 1.4× 189 1.5× 165 1.3× 65 0.7× 48 1.0× 9 585
Valérie Clerin United States 11 155 1.1× 169 1.3× 45 0.4× 29 0.3× 36 0.7× 16 500
L B Conanan United States 11 71 0.5× 66 0.5× 130 1.1× 42 0.4× 45 0.9× 14 381
Hao Qin China 11 44 0.3× 224 1.7× 198 1.6× 41 0.4× 18 0.4× 28 466
Toshi Yoneda Japan 7 91 0.7× 257 2.0× 180 1.5× 30 0.3× 77 1.5× 10 608
Fong To Sweden 10 43 0.3× 69 0.5× 47 0.4× 143 1.4× 32 0.6× 13 320

Countries citing papers authored by E.A.L. Biessen

Since Specialization
Citations

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

Fields of papers citing papers by E.A.L. Biessen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E.A.L. Biessen. 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 E.A.L. Biessen. The network helps show where E.A.L. Biessen may publish in the future.

Co-authorship network of co-authors of E.A.L. Biessen

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

All Works

8 of 8 papers shown
1.
Sluimer, Judith C., et al.. (2022). Protein carbamylation associates with collagen in atherosclerotic plaque and impacts macrophage functions. Atherosclerosis. 355. 27–27. 1 indexed citations
2.
Guo, Jin‐He, Ilze Bot, Ramon de Nooijer, et al.. (2008). Leucocyte cathepsin K affects atherosclerotic lesion composition and bone mineral density in low-density lipoprotein receptor deficient mice. Cardiovascular Research. 81(2). 278–285. 26 indexed citations
3.
Nooijer, Ramon de, Ilze Bot, Jan H. von der Thüsen, et al.. (2008). Leukocyte Cathepsin S Is a Potent Regulator of Both Cell and Matrix Turnover in Advanced Atherosclerosis. Arteriosclerosis Thrombosis and Vascular Biology. 29(2). 188–194. 44 indexed citations
4.
Lucerna, Markus, Alma Zernecke, Ramon de Nooijer, et al.. (2006). Vascular endothelial growth factor-A induces plaque expansion in ApoE knock-out mice by promoting de novo leukocyte recruitment. Blood. 109(1). 122–129. 65 indexed citations
5.
Out, Ruud, Menno Hoekstra, Saskia C.A. de Jager, et al.. (2005). Adenovirus-mediated hepatic overexpression of scavenger receptor class B type I accelerates chylomicron metabolism in C57BL/6J mice. Journal of Lipid Research. 46(6). 1172–1181. 43 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.
Hoen, Peter A.C. ’t, Jan N. M. Commandeur, Nico Vermeulen, et al.. (2002). Selection of effective antisense oligodeoxynucleotides with a green fluorescent protein‐based assay. European Journal of Biochemistry. 269(10). 2574–2583. 9 indexed citations
8.
Fluiter, Kees, Helene Vietsch, E.A.L. Biessen, et al.. (1996). Increased selective uptake in vivo and in vitro of oxidized cholesteryl esters from high-density lipoprotein by rat liver parenchymal cells. Biochemical Journal. 319(2). 471–476. 43 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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