M De Mol

1.8k citations
14 papers · 1.5k · h-index 11

Impact in

  • Hematology top 1%
    • Blood Coagulation and Thrombosis Mechanisms
    • Platelet Disorders and Treatments
    • Protease and Inhibitor Mechanisms

Papers in

M De Mol

14 papers receiving 1.4k citations

Peers

M De Mol
Comparison fields: 5 of 77
  • Hematology 684
  • Cancer Research 872
  • Immunology and Allergy 233
  • Internal Medicine 59
  • Genetics 94
Replace J M Stassen with:
J M Stassen Belgium
L L Leung United States
M Keeton United States
C. de Vries Netherlands
Michelle Drews United States
Y P Au United States
Grainne A. McMahon United States
Pablo Colorado United States
Graziano Seghezzi United States
Ralf‐Peter Czekay United States
M De Mol relative to J M Stassen Belgium J M Stassen's profile →
Citations per field
00.5×1.5×2.2×
J M Stassen · 1×
Citations per year

Countries citing papers authored by M De Mol

Since Specialization
Citations

This map shows the geographic impact of M 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 M 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 M De Mol more than expected).

Fields of papers citing papers by M De Mol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M De Mol, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M De Mol Line = papers co-authored together M De Mol links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1988400
2 1993319
3 1999208
4
Vascular wound healing and neointima formation induced by perivascular electric injury in mice.
1997163
5 1992127
6 198788
7 199255
8 199036
9 198928
10 198224
11 198817
12 198310
13 199310
14 199410

About M De Mol

M De Mol is a scholar working on Hematology, Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine and Surgery, having authored 14 papers that have together received 1.5k indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (7 papers), Protease and Inhibitor Mechanisms (6 papers), Blood properties and coagulation (3 papers), Proteoglycans and glycosaminoglycans research (2 papers), Biochemical and Structural Characterization (2 papers), Enzyme Production and Characterization (2 papers), Protein purification and stability (1 paper) and Heparin-Induced Thrombocytopenia and Thrombosis (1 paper). The work is most often cited by research in Hematology (684 citations), Cancer Research (872 citations), Immunology and Allergy (233 citations), Internal Medicine (59 citations) and Genetics (94 citations). M De Mol has collaborated with scholars based in Belgium, Germany and Switzerland. Frequent co-authors include Paul Declerck, Peter Carmeliet, Désiré Collen, D Collen, J M Stassen, Désiré Collen, Joost J. van den Oord, H.R. Lijnen, Marie‐Christine Alessi and Klaus T. Preissner. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation, Thrombosis and Haemostasis, Circulation and Circulation Research.

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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