Kees Bol

874 citations
11 papers · 567 · 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
    • CAR-T cell therapy research

Papers in

    • HER2/EGFR in Cancer Research 5
    • Cancer Treatment and Pharmacology 2
    • Cancer Immunotherapy and Biomarkers 2
    • Cancer Cells and Metastasis 2
    • Monoclonal and Polyclonal Antibodies Research 5
    • Radiomics and Machine Learning in Medical Imaging 1

Kees Bol

10 papers receiving 544 citations

Peers

Kees Bol
Comparison fields: 5 of 45
  • Hematology 216
  • Oncology 249
  • Genetics 78
  • Radiology, Nuclear Medicine and Imaging 119
  • Molecular Biology 245
Replace Mecide Gharibo with:
Mecide Gharibo United States
Amy Camuso United States
Krista Fager United States
Josephine L. Klitgaard United States
William J. Kell United Kingdom
James Berenson United States
Jeremy T. Larsen United States
Mei-Li Wen United States
Jon Ukropec United States
Ying‐Ming Jou United States
Kees Bol relative to Mecide Gharibo United States Mecide Gharibo's profile →
Citations per field
00.5×1.5×1.9×
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

11 of 11 papers shown
#Work
1 2001390
2 201741
3 202032
4 201832
5 202029
6 202017
7 201612
8 20246
9 20215
10 20202
11 19781

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 11 papers that have together received 567 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), HER2/EGFR in Cancer Research (5 papers), Glycosylation and Glycoproteins Research (2 papers), Cancer Treatment and Pharmacology (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cancer Cells and Metastasis (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Solar Thermal and Photovoltaic Systems (1 paper). The work is most often cited by research in Hematology (216 citations), Oncology (249 citations), Genetics (78 citations), Radiology, Nuclear Medicine and Imaging (119 citations) and Molecular Biology (245 citations). Kees Bol has collaborated with scholars based in United States, Netherlands and Spain. Frequent co-authors include Michael L. Tidwell, Alain Thibault, Judith E. Karp, Jeffrey E. Lancet, Raymond J. Hohl, Mary Ellen Rybak, R. T. Belly, Joseph D. Rosenblatt, Jane L. Liesveld and W. Edward Highsmith. Their work appears in journals such as Journal of Clinical Oncology, Investigational New Drugs, Blood, Cancer Research and Clinical Pharmacokinetics.

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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