Maria De Mol

5.2k total citations · 1 hit paper
8 papers, 901 citations indexed

About

Maria De Mol is a scholar working on Hematology, Cancer Research and Molecular Biology. According to data from OpenAlex, Maria De Mol has authored 8 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hematology, 6 papers in Cancer Research and 2 papers in Molecular Biology. Recurrent topics in Maria De Mol's work include Blood Coagulation and Thrombosis Mechanisms (5 papers), Protease and Inhibitor Mechanisms (5 papers) and Glycosylation and Glycoproteins Research (1 paper). Maria De Mol is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (5 papers), Protease and Inhibitor Mechanisms (5 papers) and Glycosylation and Glycoproteins Research (1 paper). Maria De Mol collaborates with scholars based in Belgium, Italy and Germany. Maria De Mol's co-authors include Peter Carmeliet, Mieke Dewerchin, Lieve Moons, Stéphane Plaisance, Monica Autiero, Massimiliano Mazzone, Marta Koch, Sonja Loges, Serena Zacchigna and Jean–Marie Stassen and has published in prestigious journals such as Cell, Journal of Clinical Investigation and Blood.

In The Last Decade

Maria De Mol

8 papers receiving 880 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Anti-PlGF Inhibits Growth of VEGF(R)-Inhibitor-Resistant Tumors without Affecting Healthy Vessels

2007 633 citations Christian Fischer, Bart Jonckx et al. Cell profile →

Peers

Maria De Mol

MB

CR

ONCOL

HEMAT

IMMUN

Marcus Otte Germany

Carol M. Sullivan United States

Nadia Coltella Italy

C. de Vries Netherlands

Grainne A. McMahon United States

Bernhard Barleon Germany

Gidi Rechavi Israel

L Martín United Kingdom

Antoni X. Torres‐Collado United States

Hanhua Huang United States

Marcus Otte Germany

Maria De Mol

807 ×1.6

MB

230 ×0.7

CR

339 ×1.3

ONCOL

96 ×0.5

HEMAT

106 ×0.8

IMMUN

Citations per year, relative to Maria De Mol Maria De Mol (= 1×) peers Marcus Otte

Countries citing papers authored by Maria De Mol

Since Specialization

Citations

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

Fields of papers citing papers by Maria De Mol

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria De Mol. 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 Maria De Mol. The network helps show where Maria De Mol may publish in the future.

Co-authorship network of co-authors of Maria De Mol

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

All Works

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8 of 8 papers shown

1.

Tjwa, Marc, Nicolai Sidénius, Rute Moura, et al.. (2009). Membrane-anchored uPAR regulates the proliferation, marrow pool size, engraftment, and mobilization of mouse hematopoietic stem/progenitor cells. Journal of Clinical Investigation. 119(4). 1008–18. 46 indexed citations

2.

Tjwa, Marc, Rute Moura, Lieve Moons, et al.. (2008). Fibrinolysis‐independent role of plasmin and its activators in the haematopoietic recovery after myeloablation. Journal of Cellular and Molecular Medicine. 13(11-12). 4587–4595. 22 indexed citations

3.

Fischer, Christian, Bart Jonckx, Massimiliano Mazzone, et al.. (2007). Anti-PlGF Inhibits Growth of VEGF(R)-Inhibitor-Resistant Tumors without Affecting Healthy Vessels. Cell. 131(3). 463–475. 633 indexed citations breakdown →

4.

Melis, Els, Lieve Moons, Maria De Mol, et al.. (2001). Targeted Deletion of the Cytosolic Domain of Tissue Factor in Mice Does Not Affect Development. Biochemical and Biophysical Research Communications. 286(3). 580–586. 43 indexed citations

5.

Mol, Maria De, et al.. (2001). Depletion of circulating α2-antiplasmin by intravenous plasmin or immunoneutralization reduces focal cerebral ischemic injury in the absence of arterial recanalization. Blood. 97(10). 3086–3092. 38 indexed citations

6.

Carmeliet, Peter, Luc Schoonjans, Joost J. van den Oord, et al.. (1993). II. Effects on Hemostasis, Thrombosis, and Thrombolysis. 1 indexed citations

7.

Vaughan, Douglas E., Paul Declerck, E Van Houtte, Maria De Mol, & Désiré Collen. (1992). Reactivated Recombinant Plasminogen Activator Inhibitor-1 (rPAI-1) Effectively Prevents Thrombolysis In Vivo. Thrombosis and Haemostasis. 68(1). 60–63. 47 indexed citations

8.

Alessi, Marie‐Christine, Paul Declerck, Maria De Mol, L Nelles, & Désiré Collen. (1988). Purification and characterization of natural and recombinant human plasminogen activator inhibitor‐1 (PAI‐1). European Journal of Biochemistry. 175(3). 531–540. 71 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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