Bart J.M. van Vlijmen

2.9k citations
70 papers · 2.1k indexed · h-index 26
Topics
Blood Coagulation and Thrombosis Mechanisms (18 papers)Lipoproteins and Cardiovascular Health (10 papers)Platelet Disorders and Treatments (10 papers)

In The Last Decade

Bart J.M. van Vlijmen

67 papers receiving 2.1k citations

Peers

Bart J.M. van Vlijmen
Comparison fields: 5 of 106
  • Molecular Biology 661
  • Surgery 568
  • Hematology 515
  • Immunology 482
  • Cancer Research 315
Replace Richard Brandl with:
Richard Brandl Germany
Takatoshi Koyama Japan
Gautam Shrikhande United States
Josefin Ahnström United Kingdom
Changgeng Ruan China
Bruce Gerlitz United States
V W van Hinsbergh Netherlands
James R. Dilks United States
Emma C. Josefsson Australia
Giovanna Balconi Italy
Bart J.M. van Vlijmen relative to Richard Brandl Germany Richard Brandl's profile →
Citations per field
00.5×1.5×1.9×
Richard Brandl · 1×
Citations per year

Countries citing papers authored by Bart J.M. van Vlijmen

Since Specialization
Citations

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

Fields of papers citing papers by Bart J.M. van Vlijmen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bart J.M. van Vlijmen. 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 Bart J.M. van Vlijmen. The network helps show where Bart J.M. van Vlijmen may publish in the future.

Co-authorship network of co-authors of Bart J.M. van Vlijmen

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 0
3 7
4 14
5 3
6 5
7 16
8 22
9 2
10
Use of "C9/11 Mismatch" Control Small Interfering RNA Reveals Sequence-Related Off-Target Effect on Coagulation of an Small Interfering RNA Targeting Mouse Coagulation Factor XII
1
11 5
12 19
13 7
14 31
15 27
16 24
17 55
18 74
19 18
20 9

About Bart J.M. van Vlijmen

Bart J.M. van Vlijmen is a scholar working on Hematology, Internal Medicine and Genetics, having authored 70 papers that have together received 2.1k indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (18 papers), Lipoproteins and Cardiovascular Health (10 papers) and Platelet Disorders and Treatments (10 papers). The work is most often cited by research in Hematology (515 citations), Internal Medicine (98 citations) and Immunology (482 citations). Bart J.M. van Vlijmen has collaborated with scholars based in Netherlands, United States and France. Frequent co-authors include Louis M. Havekes, Niels Bovenschen, Marten H. Hofker, Koen Mertens, Theo J.C. van Berkel, Lianne S.M. Boesten, Mark Kockx, Ko Willems van Dijk, Erik A.L. Biessen and J. Wouter Jukema. Their work appears in journals such as Journal of Biological Chemistry, Circulation 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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