Maria De Mol

5.2k citations
8 papers · 901 indexed · 1 hit paper · h-index 7
Topics
Blood Coagulation and Thrombosis Mechanisms (5 papers)Protease and Inhibitor Mechanisms (5 papers)Glycosylation and Glycoproteins Research (1 paper)
Partner nations
BelgiumItalyGermany

In The Last Decade

Maria De Mol

8 papers receiving 880 citations

Hit Papers

Anti-PlGF Inhibits Growth of VEGF(R)-Inhibitor-Resistant ...20072026201320192007200400600

Peers

Maria De Mol
Comparison fields: 5 of 63
  • Molecular Biology 505
  • Cancer Research 332
  • Oncology 253
  • Hematology 183
  • Immunology 136
Replace Marcus Otte with:
Marcus Otte Germany
L Martín United Kingdom
Liisa Pertovaara Finland
C. de Vries Netherlands
Petra Reusch Germany
Masahiro Sato Japan
Shinobu Iwai Japan
Carol M. Sullivan United States
Grainne A. McMahon United States
Bernhard Barleon Germany
Maria De Mol relative to Marcus Otte Germany Marcus Otte's profile →
Citations per field
00.5×1.5×1.9×
Marcus Otte · 1×
Citations per year

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

8 of 8 papers shown
#WorkIndexed citations
1 46
2 22
3
Anti-PlGF Inhibits Growth of VEGF(R)-Inhibitor-Resistant Tumors without Affecting Healthy Vesselsbreakdown →
633
4 43
5 38
6
II. Effects on Hemostasis, Thrombosis, and Thrombolysis
1
7 47
8 71

About Maria De Mol

Maria De Mol is a scholar working on Hematology, Cancer Research and Internal Medicine, having authored 8 papers that have together received 901 indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (5 papers), Protease and Inhibitor Mechanisms (5 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cancer Research (332 citations), Hematology (183 citations) and Immunology and Allergy (57 citations). Maria De Mol has collaborated with scholars based in Belgium, Italy and Germany. Frequent 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. Their work appears in journals such as Cell, Journal of Clinical Investigation and Blood.

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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