Frank J. Broekmans

31.0k total citations · 8 hit papers
241 papers, 16.9k citations indexed

About

Frank J. Broekmans is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Frank J. Broekmans has authored 241 papers receiving a total of 16.9k indexed citations (citations by other indexed papers that have themselves been cited), including 194 papers in Reproductive Medicine, 146 papers in Public Health, Environmental and Occupational Health and 81 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Frank J. Broekmans's work include Ovarian function and disorders (168 papers), Reproductive Biology and Fertility (127 papers) and Assisted Reproductive Technology and Twin Pregnancy (75 papers). Frank J. Broekmans is often cited by papers focused on Ovarian function and disorders (168 papers), Reproductive Biology and Fertility (127 papers) and Assisted Reproductive Technology and Twin Pregnancy (75 papers). Frank J. Broekmans collaborates with scholars based in Netherlands, Germany and United Kingdom. Frank J. Broekmans's co-authors include Bart C.J.M. Fauser, Ben W. Mol, Egbert R. te Velde, Marinus J.C. Eijkemans, Simone L. Broer, Dave J. Hendriks, Cornelis B. Lambalk, Frank H. de Jong, Michael R. Soules and Axel P. N. Themmen and has published in prestigious journals such as The Lancet, Circulation and PLoS ONE.

In The Last Decade

Frank J. Broekmans

231 papers receiving 16.2k citations

Hit Papers

A systematic review of tests predicting ovarian reserve a... 2005 2026 2012 2019 2006 2009 2014 2005 2014 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
Frank J. Broekmans Netherlands 66 13.5k 11.1k 4.9k 2.3k 1.4k 241 16.9k
Basil C. Tarlatzis Greece 57 10.0k 0.7× 7.3k 0.7× 4.0k 0.8× 2.0k 0.9× 1.2k 0.8× 307 13.6k
Cornelis B. Lambalk Netherlands 55 7.8k 0.6× 6.5k 0.6× 3.2k 0.7× 1.6k 0.7× 931 0.6× 313 11.2k
Joop S.E. Laven Netherlands 67 14.6k 1.1× 11.5k 1.0× 3.3k 0.7× 2.0k 0.8× 1.5k 1.0× 352 20.8k
Antonio La Marca Italy 51 8.8k 0.7× 7.4k 0.7× 2.6k 0.5× 1.1k 0.5× 638 0.4× 239 11.2k
Bart C.J.M. Fauser Netherlands 83 19.8k 1.5× 16.2k 1.5× 6.2k 1.3× 2.9k 1.3× 2.3k 1.6× 299 26.1k
Norbert Gleicher United States 62 6.6k 0.5× 5.4k 0.5× 3.9k 0.8× 2.2k 0.9× 2.8k 1.9× 470 12.9k
Daniel A. Dumesic United States 54 9.4k 0.7× 6.9k 0.6× 1.7k 0.4× 1.1k 0.5× 855 0.6× 166 13.0k
Johan Smitz Belgium 69 11.5k 0.9× 12.5k 1.1× 4.0k 0.8× 698 0.3× 1.9k 1.3× 367 17.1k
Egbert R. te Velde Netherlands 52 7.2k 0.5× 6.3k 0.6× 3.5k 0.7× 901 0.4× 492 0.3× 132 9.9k
Marcelle I. Cedars United States 52 6.4k 0.5× 5.3k 0.5× 2.1k 0.4× 905 0.4× 938 0.6× 368 10.5k

Countries citing papers authored by Frank J. Broekmans

Since Specialization
Citations

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

Fields of papers citing papers by Frank J. Broekmans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank J. Broekmans

This figure shows the co-authorship network connecting the top 25 collaborators of Frank J. Broekmans. A scholar is included among the top collaborators of Frank J. Broekmans 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 Frank J. Broekmans. Frank J. Broekmans 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.
Kat, Annelien C. de, et al.. (2024). Late reproduction is associated with extended female survival but not with familial longevity. Reproductive BioMedicine Online. 49(3). 104073–104073.
2.
Schouw, Yvonne T. van der, Carla H. van Gils, W. M. Monique Verschuren, et al.. (2022). Genome-wide association study meta-analysis identifies three novel loci for circulating anti-Müllerian hormone levels in women. Human Reproduction. 37(5). 1069–1082. 19 indexed citations
3.
Bosch, Ernesto, Simone L. Broer, Georg Griesinger, et al.. (2020). ESHRE guideline: ovarian stimulation for IVF/ICSI†. Human Reproduction Open. 2020(2). hoaa009–hoaa009. 276 indexed citations breakdown →
4.
Kamath, Mohan S., Jan Bosteels, Thomas D’Hooghe, et al.. (2019). Screening hysteroscopy in subfertile women and women undergoing assisted reproduction. Cochrane Database of Systematic Reviews. 2019(4). CD012856–CD012856. 34 indexed citations
5.
Koedooder, Rivka, Martin Singer, Sam Schoenmakers, et al.. (2019). The Vaginal Microbiome as a Predictor for Outcome of In Vitro Fertilization With or Without Intracytoplasmic Sperm Injection: A Prospective Study. Obstetrical & Gynecological Survey. 74(10). 596–597. 3 indexed citations
6.
Kat, Annelien C. de, W. M. Monique Verschuren, Marinus J.C. Eijkemans, Frank J. Broekmans, & Yvonne T. van der Schouw. (2017). Anti-Müllerian Hormone Trajectories Are Associated With Cardiovascular Disease in Women. Circulation. 135(6). 556–565. 62 indexed citations
7.
Tilborg, Theodora C van, Frank J. Broekmans, Madeleine Dólleman, et al.. (2016). Individualized follicle‐stimulating hormone dosing and in vitro fertilization outcome in agonist downregulated cycles: a systematic review. Acta Obstetricia Et Gynecologica Scandinavica. 95(12). 1333–1344. 10 indexed citations
8.
Kat, Annelien C. de, Hendrik Gremmels, Marianne C. Verhaar, Frank J. Broekmans, & F. Yarde. (2016). Early Vascular Damage in Young Women with DM-1 and Its Relation to Anti-Müllerian Hormone: A Cross-Sectional Study. International Journal of Endocrinology. 2016. 1–7. 6 indexed citations
9.
Daan, Nadine M.P., Annemieke Hoek, Eva Corpeleijn, et al.. (2015). Reproductive characteristics of women diagnosed with premature ovarian insufficiency. Reproductive BioMedicine Online. 32(2). 225–232. 17 indexed citations
10.
Wely, Madelon van, Frank J. Broekmans, Thea M. Mooij, et al.. (2014). BRCA1/2 mutation carriers do not have earlier natural menopause compared to proven non-carriers: report from the Dutch hereditary breast and ovarian cancer study group (HEBON). University of Groningen research database (University of Groningen / Centre for Information Technology). 1 indexed citations
11.
Voorhuis, Marlies, N. Charlotte Onland‐Moret, Bart C.J.M. Fauser, et al.. (2012). The association of CGG repeats in the FMR1 gene and timing of natural menopause. Human Reproduction. 28(2). 496–501. 17 indexed citations
12.
Fong, Sharon Lie, Jenny A. Visser, Corrine K. Welt, et al.. (2012). Serum Anti-Müllerian Hormone Levels in Healthy Females: A Nomogram Ranging from Infancy to Adulthood. The Journal of Clinical Endocrinology & Metabolism. 97(12). 4650–4655. 190 indexed citations
13.
Blockeel, Christophe, Monique Sterrenburg, Frank J. Broekmans, et al.. (2011). Follicular Phase Endocrine Characteristics during Ovarian Stimulation and GnRH Antagonist Cotreatment for IVF: RCT Comparing recFSH Initiated on Cycle Day 2 or 5. The Journal of Clinical Endocrinology & Metabolism. 96(4). 1122–1128. 21 indexed citations
14.
Knauff, Erik A.H., Marinus J.C. Eijkemans, Cornelis B. Lambalk, et al.. (2009). Anti Mullerian Hormone, Inhibin B and Antral Follicle Count in Young Women with Varying Degrees of Hypergonadotropic Ovarian Failure.. Reproductive Sciences. 16(3). 5 indexed citations
15.
Disseldorp, J. van, M. J. Faddy, Axel P. N. Themmen, et al.. (2008). Relationship of Serum Antimullerian Hormone Concentration to Age at Menopause. The Journal of Clinical Endocrinology & Metabolism. 93(6). 2129–2134. 201 indexed citations
16.
Broekmans, Frank J., Frank H. de Jong, J. van Disseldorp, et al.. (2008). Relationship of serum antimüllerian hormone concentration to age of menopause. The Journal of Clinical Endocrinology & Metabolism. 12 indexed citations
17.
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
18.
Steeg, Jan Willem van der, Pieternel Steures, Marinus J.C. Eijkemans, et al.. (2007). Predictive Value and Clinical Impact of Basal Follicle-Stimulating Hormone in Subfertile, Ovulatory Women. Obstetrical & Gynecological Survey. 62(10). 666–667. 4 indexed citations
19.
Steures, Pieternel, Jan Willem van der Steeg, Peter G.A. Hompes, et al.. (2006). Intrauterine Insemination With Controlled Ovarian Hyperstimulation versus Expectant Management for Couples With Unexplained Subfertility and an Intermediate Prognosis: A Randomised Clinical Trial. Obstetrical & Gynecological Survey. 61(12). 784–785. 2 indexed citations
20.
Klinkert, Ellen R, Frank J. Broekmans, Caspar W.N. Looman, & Egbert R. te Velde. (2004). A poor response in the first in vitro fertilization cycle is not necessarily related to a poor prognosis in subsequent cycles. Fertility and Sterility. 81(5). 1247–1253. 90 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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