M Dewerchin

543 total citations
12 papers, 446 citations indexed

About

M Dewerchin is a scholar working on Cancer Research, Hematology and Molecular Biology. According to data from OpenAlex, M Dewerchin has authored 12 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cancer Research, 7 papers in Hematology and 3 papers in Molecular Biology. Recurrent topics in M Dewerchin's work include Protease and Inhibitor Mechanisms (9 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers) and Enzyme Production and Characterization (3 papers). M Dewerchin is often cited by papers focused on Protease and Inhibitor Mechanisms (9 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers) and Enzyme Production and Characterization (3 papers). M Dewerchin collaborates with scholars based in Belgium, United States and Netherlands. M Dewerchin's co-authors include D Collen, Richard C. Mulligan, Goedele Wallays, Peter Carmeliet, Lieve Moons, Désiré Collen, Ann Bouché, H.R. Lijnen, F De Cock and H.R. Lijnen and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Blood.

In The Last Decade

M Dewerchin

12 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M Dewerchin Belgium 9 233 192 122 77 76 12 446
Su Ming Hsu United States 9 136 0.6× 53 0.3× 115 0.9× 45 0.6× 157 2.1× 10 443
David W. Cottam United Kingdom 9 266 1.1× 61 0.3× 219 1.8× 58 0.8× 96 1.3× 14 669
Jesper Pass Denmark 9 158 0.7× 76 0.4× 87 0.7× 35 0.5× 55 0.7× 13 313
Stephen Reeder United Kingdom 10 120 0.5× 54 0.3× 123 1.0× 48 0.6× 136 1.8× 21 421
M Lübbert Germany 9 71 0.3× 218 1.1× 311 2.5× 22 0.3× 168 2.2× 13 605
Linda I. Upfold Australia 11 102 0.4× 71 0.4× 53 0.4× 15 0.2× 118 1.6× 11 369
Ann Georgelas United States 11 144 0.6× 45 0.2× 194 1.6× 57 0.7× 118 1.6× 12 565
David Capellaro United Kingdom 11 84 0.4× 190 1.0× 198 1.6× 19 0.2× 128 1.7× 12 664
B Siebold Germany 10 79 0.3× 82 0.4× 178 1.5× 32 0.4× 122 1.6× 15 582
A W Tong United States 11 382 1.6× 82 0.4× 521 4.3× 49 0.6× 150 2.0× 17 793

Countries citing papers authored by M Dewerchin

Since Specialization
Citations

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

Fields of papers citing papers by M Dewerchin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Dewerchin

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

All Works

12 of 12 papers shown
1.
Chong, Suet Yen, Olga Zharkova, Siti Maryam J. M. Yatim, et al.. (2021). Tissue factor cytoplasmic domain exacerbates post-infarct left ventricular remodeling via orchestrating cardiac inflammation and angiogenesis. European Heart Journal. 42(Supplement_1). 1 indexed citations
3.
Dewerchin, M, Goedele Wallays, Ann Bouché, et al.. (1996). Generation and characterization of urokinase receptor-deficient mice.. Journal of Clinical Investigation. 97(3). 870–878. 182 indexed citations
4.
Manickan, Elanchezhiyan, M Francotte, Nelly A. Kuklin, et al.. (1995). Vaccination with recombinant vaccinia viruses expressing ICP27 induces protective immunity against herpes simplex virus through CD4+ Th1+ T cells. Journal of Virology. 69(8). 4711–4716. 67 indexed citations
5.
Vandamme, Anne–Mieke, M Dewerchin, H.R. Lijnen, et al.. (1992). Characterization of a recombinant chimeric plasminogen activator composed of a fibrin fragment‐d‐dimer‐specific humanized monoclonal antibody and a truncated single‐chain urokinase. European Journal of Biochemistry. 205(1). 139–146. 8 indexed citations
6.
Dewerchin, M & D Collen. (1991). Enhancement of the thrombolytic potency of plasminogen activators by conjugation with clot-specific monoclonal antibodies. Bioconjugate Chemistry. 2(5). 293–300. 23 indexed citations
9.
Lijnen, H.R., M Dewerchin, F De Cock, & D Collen. (1990). Effect of fibrin-targeting on clot lysis with urokinase-type plasminogen activator. Thrombosis Research. 57(3). 333–342. 7 indexed citations
11.
Dewerchin, M, et al.. (1989). Biochemical properties of conjugates of urokinase‐type plasminogen activator with a monoclonal antibody specific for cross‐linked fibrin. European Journal of Biochemistry. 185(1). 141–149. 45 indexed citations
12.
Collen, D, M Dewerchin, Jean Marie Stassen, L Kieckens, & H.R. Lijnen. (1989). Thrombolytic and pharmacokinetic properties of conjugates of urokinase-type plasminogen activator with a monoclonal antibody specific for crosslinked fibrin. Fibrinolysis and Proteolysis. 3(4). 197–202. 40 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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