CA Eekman

850 citations
8 papers · 767 · h-index 8

Impact in

  • Oncology top 10%
    • Drug Transport and Resistance Mechanisms
    • Inflammatory Biomarkers in Disease Prognosis

Papers in

    • Drug Transport and Resistance Mechanisms 7
    • Inflammatory Biomarkers in Disease Prognosis 1
    • HIV/AIDS drug development and treatment 4

CA Eekman

8 papers receiving 715 citations

Peers

CA Eekman
Comparison fields: 5 of 74
  • Oncology 430
  • Internal Medicine 45
  • Hematology 144
  • Cancer Research 72
  • Molecular Biology 337
Replace Mohammad Resa Nowrousian with:
Mohammad Resa Nowrousian Germany
Paula J.M. Vossebeld Netherlands
John R. Feagler United States
George Cusatis United States
Narendra S. Kishnani United States
Shai O. Shimony United States
Karine Aupeix France
Jennifer Flatow United States
Darrell Nix United States
Shigeru Takamoto Japan
CA Eekman relative to Mohammad Resa Nowrousian Germany Mohammad Resa Nowrousian's profile →
Citations per field
00.5×2×3.2×
Mohammad Resa Nowrousian · 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-authors

The 23 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
Platelet: transporter of vascular endothelial growth factor.
1997345
2 1993130
3 199682
4
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.
199575
5 200036
6 199935
7 199733
8 199731

About CA Eekman

CA Eekman is a scholar working on Oncology, Infectious Diseases, Hematology, Pediatrics, Perinatology and Child Health and Internal Medicine, having authored 8 papers that have together received 767 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), Inflammatory Biomarkers in Disease Prognosis (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Phytoestrogen effects and research (1 paper) and Pharmacogenetics and Drug Metabolism (1 paper). The work is most often cited by research in Oncology (430 citations), Internal Medicine (45 citations), Hematology (144 citations), Cancer Research (72 citations) and Molecular Biology (337 citations). CA Eekman has collaborated with scholars based in Netherlands. Frequent co-authors include H J Broxterman, Herbert M. Pinedo, Klaas Hoekman, Claudia C. Folman, Stephan J. L. Bakker, Henk M.W. Verheul, Jan Lankelma, H. M. Pinedo, GJ Schuurhuis and C.M. Kuiper. 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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