A.C.W. de Bart

22 papers receiving 949 citations

Peers

A.C.W. de Bart
Comparison fields: 5 of 94
  • Cancer Research 204
  • Endocrine and Autonomic Systems 93
  • Hematology 120
  • Immunology and Allergy 57
  • Cardiology and Cardiovascular Medicine 178
Replace Anne Limbourg with:
Anne Limbourg Germany
R John United Kingdom
Nicolas Noiseux Canada
Valeria Borrelli Italy
Helen Papadaki Greece
Donato Santovito Germany
Janka Kisucka United States
Anna Ratajska Poland
Maximilian J. Schloss Germany
Linda R. Halstead United States
A.C.W. de Bart relative to Anne Limbourg Germany Anne Limbourg's profile →
Citations per field
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Citations per year

Countries citing papers authored by A.C.W. de Bart

Since Specialization
Citations

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

Fields of papers citing papers by A.C.W. de Bart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.C.W. de Bart. 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 A.C.W. de Bart. The network helps show where A.C.W. de Bart may publish in the future.

Co-authors

The 25 scholars most cited alongside A.C.W. de Bart, 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 A.C.W. de Bart Line = papers co-authored together A.C.W. de Bart links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988360
2 1996103
3 200669
4 200766
5 199957
6 199857
7 199745
8 199241
9 199037
10 200037
11 199837
12 199536
13 199122
14 200814
15 198810
16 20106
17 19906
18 19925
19 19923
20 19963

About A.C.W. de Bart

A.C.W. de Bart is a scholar working on Cancer Research, Hematology, Molecular Biology, Pulmonary and Respiratory Medicine and Rheumatology, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (10 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Blood properties and coagulation (4 papers), S100 Proteins and Annexins (2 papers), Blood Pressure and Hypertension Studies (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Acute Ischemic Stroke Management (2 papers). The work is most often cited by research in Cancer Research (204 citations), Endocrine and Autonomic Systems (93 citations), Hematology (120 citations), Immunology and Allergy (57 citations) and Cardiology and Cardiovascular Medicine (178 citations). A.C.W. de Bart has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include Cornelis Kluft, Jan H. Verheijen, Felicita Andreotti, Attilio Maseri, Graham J. Davies, David Hackett, V R Aber, Paul H.A. Quax, Jeroen DeGroot and Y.M. Bastiaansen-Jenniskens. Their work appears in journals such as Osteoarthritis and Cartilage, Glia, The American Journal of Cardiology, Thrombosis and Haemostasis and Journal of Medicinal Chemistry.

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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