Dave J. Hendriks

2.8k total citations · 1 hit paper
13 papers, 1.9k citations indexed

About

Dave J. Hendriks is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Dave J. Hendriks has authored 13 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Public Health, Environmental and Occupational Health, 11 papers in Reproductive Medicine and 8 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Dave J. Hendriks's work include Ovarian function and disorders (11 papers), Reproductive Biology and Fertility (9 papers) and Assisted Reproductive Technology and Twin Pregnancy (8 papers). Dave J. Hendriks is often cited by papers focused on Ovarian function and disorders (11 papers), Reproductive Biology and Fertility (9 papers) and Assisted Reproductive Technology and Twin Pregnancy (8 papers). Dave J. Hendriks collaborates with scholars based in Netherlands, Germany and Australia. Dave J. Hendriks's co-authors include Frank J. Broekmans, Ben W. Mol, Janet Kwee, Cornelis B. Lambalk, Egbert R. te Velde, Simone L. Broer, László F.J.M.M Bancsi, Caspar W.N. Looman, Caspar WN Looman and Frank H. de Jong and has published in prestigious journals such as Human Reproduction, Fertility and Sterility and Human Reproduction Update.

In The Last Decade

Dave J. Hendriks

13 papers receiving 1.8k citations

Hit Papers

A systematic review of tests predicting ovarian reserve a... 2006 2026 2012 2019 2006 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dave J. Hendriks Netherlands 12 1.8k 1.5k 669 156 88 13 1.9k
Janet Kwee Netherlands 10 1.6k 0.9× 1.4k 0.9× 516 0.8× 166 1.1× 80 0.9× 16 1.8k
John L. Frattarelli United States 22 1.2k 0.7× 1.1k 0.7× 693 1.0× 124 0.8× 147 1.7× 58 1.6k
Einat Shalom‐Paz Israel 21 760 0.4× 682 0.4× 439 0.7× 296 1.9× 168 1.9× 70 1.2k
Kayhan Yakın Türkiye 25 1.1k 0.6× 994 0.7× 520 0.8× 280 1.8× 284 3.2× 83 1.6k
Jinan Bekir United Kingdom 16 796 0.5× 566 0.4× 316 0.5× 122 0.8× 62 0.7× 25 963
Manish Banker India 20 1.3k 0.7× 851 0.6× 941 1.4× 149 1.0× 188 2.1× 56 1.7k
Matheus Roque Brazil 21 1.8k 1.0× 1.6k 1.0× 1.1k 1.6× 162 1.0× 227 2.6× 44 2.2k
Vivien MacLachlan Australia 17 712 0.4× 504 0.3× 303 0.5× 281 1.8× 111 1.3× 30 977
Mark A. Damario United States 18 704 0.4× 555 0.4× 384 0.6× 189 1.2× 168 1.9× 49 988
Tarek A. Gelbaya United Kingdom 22 1.6k 0.9× 1.2k 0.8× 764 1.1× 545 3.5× 411 4.7× 33 2.1k

Countries citing papers authored by Dave J. Hendriks

Since Specialization
Citations

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

Fields of papers citing papers by Dave J. Hendriks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dave J. Hendriks

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

All Works

13 of 13 papers shown
1.
Lemmers, Marike, Patrick M. Bossuyt, Dave J. Hendriks, et al.. (2017). Fertility and obstetric outcomes after curettage versus expectant management in randomised and non-randomised women with an incomplete evacuation of the uterus after misoprostol treatment for miscarriage. European Journal of Obstetrics & Gynecology and Reproductive Biology. 211. 78–82. 7 indexed citations
2.
Hendriks, Dave J., Egbert R. te Velde, Caspar WN Looman, László F.J.M.M Bancsi, & Frank J. Broekmans. (2008). Expected poor ovarian response in predicting cumulative pregnancy rates: a powerful tool. Reproductive BioMedicine Online. 17(5). 727–736. 58 indexed citations
3.
Broer, Simone L., Ben W. Mol, Dave J. Hendriks, & Frank J. Broekmans. (2008). The role of antimullerian hormone in prediction of outcome after IVF: comparison with the antral follicle count. Fertility and Sterility. 91(3). 705–714. 391 indexed citations
4.
Hendriks, Dave J., et al.. (2008). The accuracy of multivariate models predicting ovarian reserve and pregnancy after in vitro fertilization: a meta-analysis. Human Reproduction Update. 14(2). 95–100. 77 indexed citations
5.
Hendriks, Dave J., Janet Kwee, Ben W. Mol, Egbert R. te Velde, & Frank J. Broekmans. (2007). Ultrasonography as a tool for the prediction of outcome in IVF patients: a comparative meta-analysis of ovarian volume and antral follicle count. Fertility and Sterility. 87(4). 764–775. 115 indexed citations
6.
Mol, Ben W., Dave J. Hendriks, John A. Collins, et al.. (2006). Value of ovarian reserve testing before IVF: a clinical decision analysis. Human Reproduction. 21(7). 1816–1823. 26 indexed citations
7.
Hendriks, Dave J., Ben W. Mol, László F.J.M.M Bancsi, Egbert R. te Velde, & Frank J. Broekmans. (2006). The clomiphene citrate challenge test for the prediction of poor ovarian response and nonpregnancy in patients undergoing in vitro fertilization: a systematic review. Fertility and Sterility. 86(4). 807–818. 24 indexed citations
8.
Broekmans, Frank J., Janet Kwee, Dave J. Hendriks, Ben W. Mol, & Cornelis B. Lambalk. (2006). A systematic review of tests predicting ovarian reserve and IVF outcome. Human Reproduction Update. 12(6). 685–718. 884 indexed citations breakdown →
9.
Hendriks, Dave J., Frank J. Broekmans, László F.J.M.M Bancsi, et al.. (2005). Single and Repeated GnRH Agonist Stimulation Tests Compared With Basal Markers of Ovarian Reserve in the Prediction of Outcome in IVF. Journal of Assisted Reproduction and Genetics. 22(2). 65–74. 22 indexed citations
10.
Hendriks, Dave J., Ben W. Mol, László F.J.M.M Bancsi, Egbert R. te Velde, & Frank J. Broekmans. (2005). Antral follicle count in the prediction of poor ovarian response and pregnancy after in vitro fertilization: A meta-analysis and comparison with basal follicle-stimulating hormone level. Fertility and Sterility. 83(2). 291–301. 253 indexed citations
11.
Hendriks, Dave J.. (2005). Apportionment in property valuation: should we separate the inseparable?. Journal of Property Investment and Finance. 23(5). 455–470. 19 indexed citations
12.
Hendriks, Dave J., Ellen R Klinkert, László F.J.M.M Bancsi, et al.. (2004). Use of Stimulated Serum Estradiol Measurements for the Prediction of Hyperresponse to Ovarian Stimulation in in Vitro Fertilization (IVF). Journal of Assisted Reproduction and Genetics. 21(3). 65–72. 23 indexed citations
13.
Hendriks, Dave J., Frank J. Broekmans, László F.J.M.M Bancsi, et al.. (2004). Repeated clomiphene citrate challenge testing in the prediction of outcome in IVF: a comparison with basal markers for ovarian reserve*. Human Reproduction. 20(1). 163–169. 39 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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