A. G. van der Zee

1.0k total citations
16 papers, 837 citations indexed

About

A. G. van der Zee is a scholar working on Oncology, Obstetrics and Gynecology and Reproductive Medicine. According to data from OpenAlex, A. G. van der Zee has authored 16 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 5 papers in Obstetrics and Gynecology and 4 papers in Reproductive Medicine. Recurrent topics in A. G. van der Zee's work include Endometrial and Cervical Cancer Treatments (5 papers), Ovarian cancer diagnosis and treatment (4 papers) and Cancer therapeutics and mechanisms (2 papers). A. G. van der Zee is often cited by papers focused on Endometrial and Cervical Cancer Treatments (5 papers), Ovarian cancer diagnosis and treatment (4 papers) and Cancer therapeutics and mechanisms (2 papers). A. G. van der Zee collaborates with scholars based in Netherlands, United States and United Kingdom. A. G. van der Zee's co-authors include Elisabeth G.E. de Vries, Harry Hollema, H. Hollema, J.G. Aalders, Toos Daemen, Pax H.B. Willemse, W.J. Sluiter, Mindert Krans, Steven de Jong and Klaske A. ten Hoor and has published in prestigious journals such as Journal of Clinical Oncology, British Journal of Cancer and European Journal of Cancer.

In The Last Decade

A. G. van der Zee

15 papers receiving 805 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. G. van der Zee Netherlands	9	326	290	182	162	159	16	837
Masanori Kanemura Japan	18	309 0.9×	415 1.4×	269 1.5×	86 0.5×	82 0.5×	37	920
Ritsuto Fujiwaki Japan	17	215 0.7×	357 1.2×	196 1.1×	90 0.6×	71 0.4×	55	834
Jeannine Villella United States	16	388 1.2×	523 1.8×	271 1.5×	311 1.9×	133 0.8×	43	1.2k
Yoshimichi Tanaka Japan	16	269 0.8×	350 1.2×	280 1.5×	87 0.5×	75 0.5×	45	850
F. Alameda Spain	13	268 0.8×	312 1.1×	87 0.5×	56 0.3×	84 0.5×	28	711
Tomohito Tanaka Japan	18	291 0.9×	348 1.2×	338 1.9×	97 0.6×	104 0.7×	81	1.0k
Nana Tchabo United States	14	235 0.7×	326 1.1×	204 1.1×	107 0.7×	67 0.4×	25	744
Shu Soeda Japan	14	205 0.6×	144 0.5×	163 0.9×	126 0.8×	119 0.7×	67	702
Darius Dian Germany	19	187 0.6×	250 0.9×	218 1.2×	208 1.3×	75 0.5×	56	1.0k

Countries citing papers authored by A. G. van der Zee

Since Specialization

Citations

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

Fields of papers citing papers by A. G. van der Zee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. G. van der Zee. 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 A. G. van der Zee. The network helps show where A. G. van der Zee may publish in the future.

Co-authorship network of co-authors of A. G. van der Zee

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

All Works

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16 of 16 papers shown

Eggink, Florine A., Constantijne H. Mom, Dorry Boll, et al.. (2017). Less-favourable prognosis for low-risk endometrial cancer patients with a discordant pre- versus post-operative risk stratification. European Journal of Cancer. 78. 82–90. 6 indexed citations

Eggink, Florine A., Constantijne H. Mom, Roy F.P.M. Kruitwagen, et al.. (2016). Improved outcomes due to changes in organization of care for patients with ovarian cancer in the Netherlands. Gynecologic Oncology. 141(3). 524–530. 25 indexed citations

Vermeulen, Karin M., et al.. (2010). Laparoscopic hysterectomy versus abdominal hysterectomy in early-stage endometrial cancer.. Journal of Clinical Oncology. 28(15_suppl). 5054–5054. 1 indexed citations

Visser, J.H.M., Hans W. Nijman, D. van Baarle, et al.. (2007). Frequencies and role of regulatory T cells in patients with (pre)malignant cervical neoplasia. Clinical & Experimental Immunology. 150(2). 199–209. 72 indexed citations

Liyanarachchi, Sandya, et al.. (2006). Prognostic impact of MAD1L1 promoter hypermethylation in advanced ovarian cancer. Journal of Clinical Oncology. 24(18_suppl). 5021–5021. 1 indexed citations

Zee, A. G. van der, et al.. (2005). 0001: ANALYSIS OF THE ENTIRE HLA REGION IN SUSCEPTIBILITY FOR CERVICAL CANCER: A COMPREHENSIVE STUDY. International Journal of Gynecological Cancer. 15. 51–51. 4 indexed citations

Mourits, M J E, A. G. van der Zee, P.H.B. Willemse, Harry Hollema, & Elisabeth G.E. de Vries. (2003). [The effects of tamoxifen on the female genital tract].. PubMed. 147(47). 2315–20. 3 indexed citations

Mourits, M J E, Elisabeth G.E. de Vries, A. G. van der Zee, et al.. (2002). Tamoxifen effects on subjective and psychosexual well-being, in a randomised breast cancer study comparing high-dose and standard-dose chemotherapy. British Journal of Cancer. 86(10). 1546–1550. 60 indexed citations

Hollema, Harry, et al.. (2001). Expression of cyclooxygenase-2 and inducible nitric oxide synthase in human ovarian tumors and tumor-associated macrophages.. PubMed. 61(19). 7305–9. 163 indexed citations

10.

Levenback, Charles F., Robert E. Coleman, Anca C. Ansink, & A. G. van der Zee. (2000). Re: Terada et al.: Sentinel node dissection and ultrastaging in squamous cell cancer of the vulva. Gynecol Oncol 76:40-44, 2000.. Gynecologic Oncology. 77(3). 484–5. 5 indexed citations

11.

Katsaros, Dionyssios, S. Fracchioli, Henriëtte J.G. Arts, et al.. (1999). [Expression and prognostic value of the drug resistance markers P-gp, Mrp1, Mrp2, and Lrp in ovarian carcinoma].. PubMed. 51(12). 463–70. 1 indexed citations

12.

Wisman, G. Bea A., Harry Hollema, Steven de Jong, et al.. (1998). Telomerase activity as a biomarker for (pre)neoplastic cervical disease in scrapings and frozen sections from patients with abnormal cervical smear.. Journal of Clinical Oncology. 16(6). 2238–2245. 60 indexed citations

13.

Duk, Jitze M., Klaas H. Groenier, Harry Hollema, et al.. (1996). Pretreatment serum squamous cell carcinoma antigen: a newly identified prognostic factor in early-stage cervical carcinoma.. Journal of Clinical Oncology. 14(1). 111–118. 128 indexed citations

14.

Zee, A. G. van der, H. Hollema, Albert J.H. Suurmeijer, et al.. (1995). Value of P-glycoprotein, glutathione S-transferase pi, c-erbB-2, and p53 as prognostic factors in ovarian carcinomas.. Journal of Clinical Oncology. 13(1). 70–78. 164 indexed citations

15.

Zee, A. G. van der, Steven de Jong, W. Nicol Keith, et al.. (1994). Quantitative and qualitative aspects of topoisomerase I and II alpha and beta in untreated and platinum/cyclophosphamide treated malignant ovarian tumors.. PubMed. 54(3). 749–55. 37 indexed citations

16.

Zee, A. G. van der, H. Hollema, Steven de Jong, et al.. (1991). P-glycoprotein expression and DNA topoisomerase I and II activity in benign tumors of the ovary and in malignant tumors of the ovary, before and after platinum/cyclophosphamide chemotherapy.. PubMed. 51(21). 5915–20. 107 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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