Kees Bol

871 citations
10 papers · 537 · h-index 7

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Oncology top 10%
    • HER2/EGFR in Cancer Research
    • Cancer-related Molecular Pathways

Papers in

Kees Bol

10 papers receiving 517 citations

Peers

Kees Bol
Comparison fields: 5 of 43
  • Hematology 225
  • Oncology 283
  • Genetics 89
  • Radiology, Nuclear Medicine and Imaging 132
  • Molecular Biology 259
Replace Mecide Gharibo with:
Mecide Gharibo United States
Amy Camuso United States
Koorosh Korfi United Kingdom
Krista Fager United States
Ka Lung Wu Belgium
Sreeni Yalamanchili United States
Stéphanie Guidez France
James Berenson United States
Joy Knight United States
Josephine L. Klitgaard United States
Kees Bol relative to Mecide Gharibo United States Mecide Gharibo's profile →
Citations per field
00.5×1.5×2.0×
Mecide Gharibo · 1×
Citations per year

Countries citing papers authored by Kees Bol

Since Specialization
Citations

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

Fields of papers citing papers by Kees Bol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kees Bol. 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 Kees Bol. The network helps show where Kees Bol may publish in the future.

Co-authors

The 25 scholars most cited alongside Kees Bol, 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 Kees Bol Line = papers co-authored together Kees Bol links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2001367
2 201740
3 201831
4 202031
5 202028
6 202017
7 201612
8 20215
9 20244
10 20202

About Kees Bol

Kees Bol is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Pulmonary and Respiratory Medicine and Neurology, having authored 10 papers that have together received 537 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Cancer Treatment and Pharmacology (2 papers), Cancer Cells and Metastasis (2 papers), Glycosylation and Glycoproteins Research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Protein purification and stability (1 paper) and Lung Cancer Treatments and Mutations (1 paper). The work is most often cited by research in Hematology (225 citations), Oncology (283 citations), Genetics (89 citations), Radiology, Nuclear Medicine and Imaging (132 citations) and Molecular Biology (259 citations). Kees Bol has collaborated with scholars based in Netherlands, United States and Spain. Frequent co-authors include David W. End, Jane L. Liesveld, Timothy Kottke, Scott H. Kaufmann, W. Edward Highsmith, Ivan D. Horak, Mary Ellen Rybak, Ivana Gojo, Raymond J. Hohl and Jeffrey E. Lancet. Their work appears in journals such as Journal of Clinical Oncology, Investigational New Drugs, Clinical Pharmacokinetics, Cancer Research 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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