CA Eekman

849 citations
8 papers · 725 indexed · h-index 8

Impact in

  • Oncology top 5%
    • Drug Transport and Resistance Mechanisms
    • Inflammatory Biomarkers in Disease Prognosis
    • Venous Thromboembolism Diagnosis and Management

Papers in

CA Eekman

8 papers receiving 696 citations

Peers

CA Eekman
Comparison fields: 5 of 78
  • Oncology 465
  • Internal Medicine 57
  • Hematology 156
  • Cancer Research 96
  • Molecular Biology 384
Replace Yoshiaki Okuno with:
Yoshiaki Okuno Japan
Paula J.M. Vossebeld Netherlands
Mohammad R. Nowrousian Germany
G Kōsaki Japan
Jason M. Foulks United States
Brenda D. Bailey United States
S Seto Japan
John R. Feagler United States
Shai Shimony Israel
Narendra S. Kishnani United States
CA Eekman relative to Yoshiaki Okuno Japan Yoshiaki Okuno's profile →
Citations per field
00.5×1.5×1.9×
Yoshiaki Okuno · 1×
Citations per year

Countries citing papers authored by CA Eekman

Since Specialization
Citations

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

Fields of papers citing papers by CA Eekman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 24 scholars most cited alongside CA Eekman, 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 CA Eekman Line = papers co-authored together CA Eekman links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 200032
2 199934
3 199731
4 199734
5
Platelet: transporter of vascular endothelial growth factor.
1997314
6 199680
7
Functional multidrug resistance phenotype associated with combined overexpression of Pgp/MDR1 and MRP together with 1-beta-D-arabinofuranosylcytosine sensitivity may predict clinical response in acute myeloid leukemia.
199572
8 1993128

About CA Eekman

CA Eekman is a scholar working on Oncology, Internal Medicine, Infectious Diseases, Hematology and Pharmacology, having authored 8 papers that have together received 725 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (7 papers), HIV/AIDS drug development and treatment (4 papers), Acute Myeloid Leukemia Research (2 papers), Pharmacological Effects and Toxicity Studies (2 papers), Pancreatic and Hepatic Oncology Research (1 paper), Cancer therapeutics and mechanisms (1 paper), Angiogenesis and VEGF in Cancer (1 paper) and Pharmacogenetics and Drug Metabolism (1 paper). The work is most often cited by research in Oncology (465 citations), Internal Medicine (57 citations), Hematology (156 citations), Cancer Research (96 citations) and Molecular Biology (384 citations). CA Eekman has collaborated with scholars based in Netherlands. Frequent co-authors include H J Broxterman, Klaas Hoekman, Herbert M. Pinedo, Henk M.W. Verheul, Claudia C. Folman, J. Lankelma, H. M. Pinedo, GJ Schuurhuis, C.M. Kuiper and C. H. M. Versantvoort. Their work appears in journals such as Leukemia, British Journal of Cancer, Blood and PubMed.

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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