CA Eekman

849 total citations
8 papers, 725 citations indexed

About

CA Eekman is a scholar working on Oncology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, CA Eekman has authored 8 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 4 papers in Infectious Diseases and 3 papers in Molecular Biology. Recurrent topics in CA Eekman's work include Drug Transport and Resistance Mechanisms (7 papers), HIV/AIDS drug development and treatment (4 papers) and Acute Myeloid Leukemia Research (2 papers). CA Eekman is often cited by papers focused on Drug Transport and Resistance Mechanisms (7 papers), HIV/AIDS drug development and treatment (4 papers) and Acute Myeloid Leukemia Research (2 papers). CA Eekman collaborates with scholars based in Netherlands. CA Eekman's 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 and has published in prestigious journals such as Blood, British Journal of Cancer and Leukemia.

In The Last Decade

CA Eekman

8 papers receiving 696 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
CA Eekman Netherlands	8	465	384	156	96	91	8	725
Yoshiaki Okuno Japan	20	248 0.5×	231 0.6×	279 1.8×	80 0.8×	20 0.2×	41	796
Paula J.M. Vossebeld Netherlands	14	218 0.5×	332 0.9×	216 1.4×	26 0.3×	42 0.5×	16	849
Mohammad R. Nowrousian Germany	15	237 0.5×	245 0.6×	359 2.3×	34 0.4×	22 0.2×	31	693
Roberto Foà Italy	21	269 0.6×	220 0.6×	455 2.9×	29 0.3×	33 0.4×	60	1.3k
Alice Chin United States	14	223 0.5×	426 1.1×	400 2.6×	128 1.3×	57 0.6×	24	1.1k
John R. Feagler United States	10	117 0.3×	109 0.3×	262 1.7×	56 0.6×	39 0.4×	12	606
Enrique Colado Spain	16	159 0.3×	241 0.6×	327 2.1×	59 0.6×	20 0.2×	35	683
Jason M. Foulks United States	14	114 0.2×	428 1.1×	282 1.8×	152 1.6×	12 0.1×	31	850
Darlene Gibbon United States	15	325 0.7×	375 1.0×	55 0.4×	109 1.1×	16 0.2×	38	834
G Kōsaki Japan	15	188 0.4×	206 0.5×	152 1.0×	76 0.8×	23 0.3×	40	685

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 of co-authors of CA Eekman

This figure shows the co-authorship network connecting the top 25 collaborators of CA Eekman. A scholar is included among the top collaborators of CA Eekman 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 CA Eekman. CA Eekman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Broxterman, H J, Pieter Sonneveld, J. Lankelma, et al.. (2000). P-glycoprotein in primary acute myeloid leukemia and treatment outcome of idarubicin/cytosine arabinoside-based induction therapy. Leukemia. 14(6). 1018–1024. 32 indexed citations

2.

Broxterman, H J, Pieter Sonneveld, R. Pieters, et al.. (1999). Do P-glycoprotein and major vault protein (MVP/LRP) expression correlate with in vitro daunorubicin resistance in acute myeloid leukemia?. Leukemia. 13(2). 258–265. 34 indexed citations

3.

Broxterman, HJ, G.J. Schuurhuis, J. Lankelma, et al.. (1997). Highly sensitive and specific detection of P-glycoprotein function for haematological and solid tumour cells using a novel nucleic acid stain. British Journal of Cancer. 76(8). 1029–1034. 31 indexed citations

4.

Lankelma, J., et al.. (1997). Theoretical and practical considerations for the measurement of P-glycoprotein function in acute myeloid leukemia. Leukemia. 11(7). 1110–1118. 34 indexed citations

5.

Verheul, Henk M.W., Klaas Hoekman, CA Eekman, et al.. (1997). Platelet: transporter of vascular endothelial growth factor.. PubMed. 3(12 Pt 1). 2187–90. 314 indexed citations

6.

Sonneveld, Pieter, N Feller, G.J. Ossenkoppele, et al.. (1996). Quality control of multidrug resistance assays in adult acute leukemia: correlation between assays for P-glycoprotein expression and activity. Blood. 87(11). 4809–4816. 80 indexed citations

7.

Schuurhuis, G.J., H J Broxterman, GJ Ossenkoppele, et al.. (1995). 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.. PubMed. 1(1). 81–93. 72 indexed citations

8.

Versantvoort, C. H. M., GJ Schuurhuis, H. M. Pinedo, et al.. (1993). Genistein modulates the decreased drug accumulation in non-P-glycoprotein mediated multidrug resistant tumour cells. British Journal of Cancer. 68(5). 939–946. 128 indexed citations

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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