Wim K. Bleeker

6.9k citations
79 papers · 5.2k indexed · 2 hit papers · h-index 31
Topics
Monoclonal and Polyclonal Antibodies Research (26 papers)Hemoglobin structure and function (17 papers)HER2/EGFR in Cancer Research (12 papers)

In The Last Decade

Wim K. Bleeker

77 papers receiving 5.0k citations

Hit Papers

Daratumumab, a Novel Therapeutic Human CD38 Monoclonal An...200720262013201920102007200400600

Peers

Wim K. Bleeker
Comparison fields: 5 of 141
  • Radiology, Nuclear Medicine and Imaging 1.8k
  • Molecular Biology 1.7k
  • Immunology 1.6k
  • Oncology 1.4k
  • Hematology 1.3k
Replace Jean‐Luc Teillaud with:
Jean‐Luc Teillaud France
Matthew L. Sherman United States
Guillaume Dighiero France
Franak Batliwalla United States
Fabien Calvo France
Bruce A. Woda United States
Michael R. Loken United States
D. Robert Sutherland Canada
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Olli Carpén Finland
Wim K. Bleeker relative to Jean‐Luc Teillaud France Jean‐Luc Teillaud's profile →
Citations per field
00.5×3.2×
Jean‐Luc Teillaud · 1×
Citations per year

Countries citing papers authored by Wim K. Bleeker

Since Specialization
Citations

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

Fields of papers citing papers by Wim K. Bleeker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wim K. Bleeker. 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 Wim K. Bleeker. The network helps show where Wim K. Bleeker may publish in the future.

Co-authorship network of co-authors of Wim K. Bleeker

This figure shows the co-authorship network connecting the top 25 collaborators of Wim K. Bleeker. A scholar is included among the top collaborators of Wim K. Bleeker 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 Wim K. Bleeker. Wim K. Bleeker 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 78
2 370
3 5
4 166
5 45
6 167
7 132
8 22
9 70
10 102
11 53
12 24
13 45
14 24
15 22
16 10
17 13
18 13
19 2
20 2

About Wim K. Bleeker

Wim K. Bleeker is a scholar working on Genetics, Hematology and Radiology, Nuclear Medicine and Imaging, having authored 79 papers that have together received 5.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (26 papers), Hemoglobin structure and function (17 papers) and HER2/EGFR in Cancer Research (12 papers). The work is most often cited by research in Hematology (1.3k citations), Virology (380 citations) and Radiology, Nuclear Medicine and Imaging (1.8k citations). Wim K. Bleeker has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Paul W.H.I. Parren, Jan G. J. van de Winkel, Tom Vink, Janine Schuurman, Jeroen J. Lammerts van Bueren, Matthias Peipp, Thomas Valerius, Mireille Masson‐Pévet, Tuna Mutis and Sandra Verploegen. Their work appears in journals such as Nature, Science and Nature Medicine.

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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