H J Broxterman

2.8k total citations
27 papers, 2.4k citations indexed

About

H J Broxterman is a scholar working on Oncology, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, H J Broxterman has authored 27 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 13 papers in Molecular Biology and 7 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in H J Broxterman's work include Drug Transport and Resistance Mechanisms (16 papers), Pharmacological Effects and Toxicity Studies (7 papers) and Angiogenesis and VEGF in Cancer (5 papers). H J Broxterman is often cited by papers focused on Drug Transport and Resistance Mechanisms (16 papers), Pharmacological Effects and Toxicity Studies (7 papers) and Angiogenesis and VEGF in Cancer (5 papers). H J Broxterman collaborates with scholars based in Netherlands, United States and France. H J Broxterman's co-authors include Herbert M. Pinedo, J. Lankelma, CA Eekman, C. H. M. Versantvoort, Henk M.W. Verheul, Klaas Hoekman, Paul van der Valk, Elisabeth G.E. de Vries, Rik J. Scheper and N H Georgopapadakou and has published in prestigious journals such as Biochemistry, FEBS Letters and British Journal of Cancer.

In The Last Decade

H J Broxterman

27 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H J Broxterman Netherlands 21 1.7k 1.2k 434 269 223 27 2.4k
HJ Broxterman Netherlands 19 1.9k 1.1× 1.1k 0.9× 599 1.4× 403 1.5× 285 1.3× 27 2.5k
Herman Burger Netherlands 28 1.3k 0.7× 1.2k 1.0× 243 0.6× 218 0.8× 155 0.7× 45 2.6k
Lyn A. Mickley United States 19 1.9k 1.1× 1.2k 1.0× 500 1.2× 389 1.4× 327 1.5× 24 2.3k
M J Flens Netherlands 17 1.8k 1.0× 873 0.7× 565 1.3× 483 1.8× 233 1.0× 25 2.2k
E Schneider United States 17 1.1k 0.6× 1.0k 0.8× 253 0.6× 170 0.6× 175 0.8× 21 1.8k
Zhirong Zhan United States 21 1.8k 1.1× 1.6k 1.3× 438 1.0× 255 0.9× 261 1.2× 33 2.8k
Annemieke Kuil Netherlands 19 1.4k 0.8× 617 0.5× 560 1.3× 314 1.2× 181 0.8× 23 2.4k
Miguel Izquierdo Spain 29 2.3k 1.4× 1.4k 1.2× 494 1.1× 737 2.7× 192 0.9× 80 3.9k
Orsolya Polgár United States 17 1.5k 0.9× 918 0.8× 464 1.1× 247 0.9× 278 1.2× 18 2.0k
Erin R. Gardner United States 25 1.1k 0.6× 1.5k 1.3× 159 0.4× 141 0.5× 190 0.9× 49 2.9k

Countries citing papers authored by H J Broxterman

Since Specialization
Citations

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

Fields of papers citing papers by H J Broxterman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H J Broxterman. 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 H J Broxterman. The network helps show where H J Broxterman may publish in the future.

Co-authorship network of co-authors of H J Broxterman

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

All Works

20 of 20 papers shown
1.
Lind, Joline S.W., Richard R. de Haas, Henk M.W. Verheul, et al.. (2009). CD133+ circulating haematopoietic progenitor cells predict for response to sorafenib plus erlotinib in non-small cell lung cancer patients. British Journal of Cancer. 102(2). 268–275. 27 indexed citations
2.
Duyndam, Monique C.A., et al.. (2006). CD13/Aminopeptidase N overexpression by basic fibroblast growth factor mediates enhanced invasiveness of 1F6 human melanoma cells. British Journal of Cancer. 94(11). 1627–1636. 37 indexed citations
4.
Broxterman, H J & N H Georgopapadakou. (2005). Anticancer therapeutics: “Addictive” targets, multi-targeted drugs, new drug combinations. Drug Resistance Updates. 8(4). 183–197. 95 indexed citations
5.
Hooijberg, Jan Hendrik, et al.. (2000). The effect of glutathione on the ATPase activity of MRP1 in its natural membranes. FEBS Letters. 469(1). 47–51. 34 indexed citations
6.
Verheul, Henk M.W., Klaas Hoekman, Florea Lupu, et al.. (2000). Platelet and coagulation activation with vascular endothelial growth factor generation in soft tissue sarcomas.. PubMed. 6(1). 166–71. 108 indexed citations
7.
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
8.
Hooijberg, Jan Hendrik, H J Broxterman, George L. Scheffer, et al.. (1999). Potent interaction of flavopiridol with MRP1. British Journal of Cancer. 81(2). 269–276. 72 indexed citations
9.
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
10.
Marbeuf‐Gueye, Carole, et al.. (1998). Kinetics of Anthracycline Efflux from Multidrug Resistance Protein-Expressing Cancer Cells Compared with P-Glycoprotein-Expressing Cancer Cells. Molecular Pharmacology. 53(1). 141–147. 66 indexed citations
11.
Broxterman, H J, et al.. (1998). Kinetic Analysis of Calcein and Calcein−Acetoxymethylester Efflux Mediated by the Multidrug Resistance Protein and P-Glycoprotein. Biochemistry. 37(8). 2243–2250. 169 indexed citations
12.
Versantvoort, C. H. M., et al.. (1995). Regulation by glutathione of drug transport in multidrug-resistant human lung tumour cell lines overexpressing multidrug resistance-associated protein. British Journal of Cancer. 72(1). 82–89. 189 indexed citations
13.
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
14.
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
15.
Scheper, Rik J., H J Broxterman, G L Scheffer, et al.. (1993). Overexpression of a M(r) 110,000 vesicular protein in non-P-glycoprotein-mediated multidrug resistance.. PubMed. 53(7). 1475–9. 433 indexed citations
16.
Broxterman, H J, HM Pinedo, N Feller, et al.. (1993). Cortisol is transported by the multidrug resistance gene product P-glycoprotein. British Journal of Cancer. 67(2). 284–289. 124 indexed citations
18.
Versantvoort, C. H. M., H J Broxterman, Herbert M. Pinedo, et al.. (1992). Energy-dependent processes involved in reduced drug accumulation in multidrug-resistant human lung cancer cell lines without P-glycoprotein expression. Lung Cancer. 8(3-4). 235–235. 90 indexed citations
20.
Broxterman, H J, et al.. (1980). HA-966 effects on striatal dopamine metabolism: implications for dopamine compartmentalization. Journal of Pharmacy and Pharmacology. 32(1). 67–69. 13 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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