Eline E. Hanekamp

1.1k total citations · 1 hit paper
16 papers, 820 citations indexed

About

Eline E. Hanekamp is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Eline E. Hanekamp has authored 16 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 8 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Eline E. Hanekamp's work include Estrogen and related hormone effects (11 papers), Endometrial and Cervical Cancer Treatments (5 papers) and Cytokine Signaling Pathways and Interactions (5 papers). Eline E. Hanekamp is often cited by papers focused on Estrogen and related hormone effects (11 papers), Endometrial and Cervical Cancer Treatments (5 papers) and Cytokine Signaling Pathways and Interactions (5 papers). Eline E. Hanekamp collaborates with scholars based in Netherlands, United States and Malaysia. Eline E. Hanekamp's co-authors include Curt W. Burger, Leen J. Blok, Johannes A. Lenstra, Isaäc J. Nijman, Edward L.C. Verkaar, Dmitry Zubakov, Manfred Kayser, Wilfred F. J. van IJcken, J. Anton Grootegoed and Frans J.M. Huikeshoven and has published in prestigious journals such as Annals of Internal Medicine, The Journal of Clinical Endocrinology & Metabolism and Clinical Cancer Research.

In The Last Decade

Eline E. Hanekamp

16 papers receiving 790 citations

Hit Papers

Good Publication Practice (GPP) Guidelines for Company-Sp... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eline E. Hanekamp Netherlands 13 385 331 126 93 81 16 820
Ester Silveira Ramos Brazil 17 365 0.9× 407 1.2× 149 1.2× 169 1.8× 88 1.1× 81 991
Junko Nagata Japan 15 286 0.7× 267 0.8× 41 0.3× 58 0.6× 122 1.5× 66 869
K.-D. Schulz Germany 20 419 1.1× 266 0.8× 89 0.7× 370 4.0× 90 1.1× 68 1.2k
Marie Adams United States 15 54 0.1× 418 1.3× 93 0.7× 105 1.1× 94 1.2× 34 792
Brahim Aı̈ssani United States 18 235 0.6× 783 2.4× 73 0.6× 54 0.6× 96 1.2× 39 1.1k
Yoshito Aoyagi Japan 21 269 0.7× 329 1.0× 83 0.7× 145 1.6× 311 3.8× 47 822
Anthony J. Rutherford United Kingdom 19 209 0.5× 373 1.1× 109 0.9× 524 5.6× 101 1.2× 40 1.2k
Atsushi Ideta Japan 22 273 0.7× 374 1.1× 122 1.0× 196 2.1× 388 4.8× 49 948
Julie Di Cristofaro France 21 450 1.2× 294 0.9× 24 0.2× 89 1.0× 346 4.3× 52 1.4k
I. Halbrecht Israel 17 338 0.9× 235 0.7× 54 0.4× 49 0.5× 194 2.4× 97 964

Countries citing papers authored by Eline E. Hanekamp

Since Specialization
Citations

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

Fields of papers citing papers by Eline E. Hanekamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eline E. Hanekamp. 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 Eline E. Hanekamp. The network helps show where Eline E. Hanekamp may publish in the future.

Co-authorship network of co-authors of Eline E. Hanekamp

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

All Works

16 of 16 papers shown
1.
DeTora, Lisa, Fiona J. Plunkett, Eline E. Hanekamp, et al.. (2022). Good Publication Practice (GPP) Guidelines for Company-Sponsored Biomedical Research: 2022 Update. Annals of Internal Medicine. 175(9). 1298–1304. 136 indexed citations breakdown →
2.
Wang, Yongyi, Payman Hanifi‐Moghaddam, Eline E. Hanekamp, et al.. (2009). Progesterone Inhibition of Wnt/β-Catenin Signaling in Normal Endometrium and Endometrial Cancer. Clinical Cancer Research. 15(18). 5784–5793. 112 indexed citations
3.
Zubakov, Dmitry, et al.. (2007). Stable RNA markers for identification of blood and saliva stains revealed from whole genome expression analysis of time-wise degraded samples. International Journal of Legal Medicine. 122(2). 135–142. 145 indexed citations
4.
Hanekamp, Eline E., Payman Hanifi‐Moghaddam, Anneke M. Sijbers, et al.. (2006). Growth regulation and transcriptional activities of estrogen and progesterone in human endometrial cancer cells. International Journal of Gynecological Cancer. 16(1). 110–120. 17 indexed citations
5.
Hanekamp, Eline E., Pejman Hanifi-Moghaddam, Anneke M. Sijbers, et al.. (2006). Growth regulation and transcriptional activities of estrogen and progesterone in human endometrial cancer cells. International Journal of Gynecological Cancer. 16(1). 110–120. 3 indexed citations
6.
Hanekamp, Eline E., Petra E. de Ruiter, Frans J.M. Huikeshoven, et al.. (2005). Differences in Invasive Capacity of Endometrial Cancer Cell Lines Expressing Different Progesterone Receptor Isotypes: Possible Involvement of Cadherins. Journal of the Society for Gynecologic Investigation. 12(4). 278–284. 11 indexed citations
7.
Hanekamp, Eline E., Petra E. de Ruiter, J. Anton Grootegoed, et al.. (2005). Progesterone-Induced Inhibition of Growth and Differential Regulation of Gene Expression in PRA- and/or PRB-Expressing Endometrial Cancer Cell Lines. Journal of the Society for Gynecologic Investigation. 12(4). 285–292. 29 indexed citations
8.
Verkaar, Edward L.C., et al.. (2004). Maternal and Paternal Lineages in Cross-Breeding Bovine Species. Has Wisent a Hybrid Origin?. Molecular Biology and Evolution. 21(7). 1165–1170. 118 indexed citations
9.
Hanekamp, Eline E., et al.. (2004). Progesterone receptor A and B expression and progestagen treatment in growth and spread of endometrial cancer cells in nude mice. Endocrine Related Cancer. 11(4). 831–841. 16 indexed citations
10.
Hanekamp, Eline E., et al.. (2004). Steroid-Modulated Proliferation of Human Endometrial Carcinoma Cell Lines: Any Role for Insulin-like Growth Factor Signaling?. Journal of the Society for Gynecologic Investigation. 12(1). 58–64. 21 indexed citations
11.
Nijman, Isaäc J., Myrthe Otsen, Edward L.C. Verkaar, et al.. (2003). Hybridization of banteng (Bos javanicus) and zebu (Bos indicus) revealed by mitochondrial DNA, satellite DNA, AFLP and microsatellites. Heredity. 90(1). 10–16. 102 indexed citations
12.
Hanekamp, Eline E., et al.. (2003). Progesterone receptors in endometrial cancer invasion and metastasis: development of a mouse model. Steroids. 68(10-13). 795–800. 12 indexed citations
13.
Hanekamp, Eline E., Petra E. de Ruiter, Albert O. Brinkmann, et al.. (2003). Consequences of loss of progesterone receptor expression in development of invasive endometrial cancer.. PubMed. 9(11). 4190–9. 50 indexed citations
14.
Blok, Leen J., Petra E. de Ruiter, Eline E. Hanekamp, et al.. (2003). Progestagenic Effects of Tibolone on Human Endometrial Cancer Cells. The Journal of Clinical Endocrinology & Metabolism. 88(5). 2327–2334. 32 indexed citations
16.
Hanekamp, Eline E., Petra E. de Ruiter, Albert O. Brinkmann, et al.. (2002). Loss of progesterone receptor may lead to an invasive phenotype in human endometrial cancer. European Journal of Cancer. 38. 71–72. 15 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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