T. Korsen

936 total citations
17 papers, 721 citations indexed

About

T. Korsen is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, T. Korsen has authored 17 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Reproductive Medicine, 9 papers in Public Health, Environmental and Occupational Health and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in T. Korsen's work include Ovarian function and disorders (15 papers), Reproductive Biology and Fertility (9 papers) and Hypothalamic control of reproductive hormones (4 papers). T. Korsen is often cited by papers focused on Ovarian function and disorders (15 papers), Reproductive Biology and Fertility (9 papers) and Hypothalamic control of reproductive hormones (4 papers). T. Korsen collaborates with scholars based in Netherlands and United States. T. Korsen's co-authors include J. Schoemaker, Mariet W. Elting, L.T.M. Rekers-Mombarg, P.D. Bezemer, Curt W. Burger, Peter G.A. Hompes, P. A. van Dop, F.J.M. Caron, H. van Kessel and Cornelis B. Lambalk and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Human Reproduction and Fertility and Sterility.

In The Last Decade

T. Korsen

17 papers receiving 680 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Korsen Netherlands 10 642 428 195 117 49 17 721
L Harborne United Kingdom 6 477 0.7× 305 0.7× 181 0.9× 93 0.8× 59 1.2× 9 581
Virginia Pavone Italy 10 490 0.8× 301 0.7× 176 0.9× 86 0.7× 65 1.3× 13 540
Richard Y. Yoo United States 8 517 0.8× 336 0.8× 198 1.0× 43 0.4× 34 0.7× 13 628
Yaqin Mo China 11 548 0.9× 372 0.9× 82 0.4× 61 0.5× 40 0.8× 20 631
TM Barber United Kingdom 2 378 0.6× 205 0.5× 99 0.5× 79 0.7× 30 0.6× 3 499
Vimla Laumas India 7 471 0.7× 335 0.8× 223 1.1× 111 0.9× 56 1.1× 16 651
Hanne Mumm Denmark 12 370 0.6× 226 0.5× 116 0.6× 54 0.5× 85 1.7× 15 451
D. Antenucci Italy 4 371 0.6× 238 0.6× 143 0.7× 41 0.4× 39 0.8× 6 440
Meri‐Maija Ollila Finland 9 388 0.6× 235 0.5× 82 0.4× 84 0.7× 82 1.7× 27 497
Anderson Sanches de Melo Brazil 12 570 0.9× 359 0.8× 102 0.5× 46 0.4× 138 2.8× 29 696

Countries citing papers authored by T. Korsen

Since Specialization
Citations

This map shows the geographic impact of T. Korsen'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 T. Korsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Korsen more than expected).

Fields of papers citing papers by T. Korsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Korsen. 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 T. Korsen. The network helps show where T. Korsen may publish in the future.

Co-authorship network of co-authors of T. Korsen

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

All Works

17 of 17 papers shown
1.
Kuijper, E.A.M., Jos W. R. Twisk, T. Korsen, et al.. (2015). Mid-pregnancy, perinatal, and neonatal reproductive endocrinology: a prospective cohort study in twins and singleton control subjects. Fertility and Sterility. 104(6). 1527–1534.e9. 11 indexed citations
2.
König, Theresa, T. Korsen, Joost Dekker, et al.. (2014). Short-term changes in hormonal profiles after laparoscopic ovarian laser evaporation compared with diagnostic laparoscopy for PCOS. Human Reproduction. 29(11). 2544–2552. 8 indexed citations
3.
König, Theresa, T. Korsen, R. Schats, et al.. (2013). Influence of ovarian manipulation on reproductive endocrinology in polycystic ovarian syndrome and regularly cycling women. European Journal of Endocrinology. 169(4). 503–510. 6 indexed citations
4.
Serné, Erik H., Richard G. IJzerman, T. Korsen, et al.. (2011). Insulin-induced capillary recruitment is impaired in both lean and obese women with PCOS. Human Reproduction. 26(11). 3130–3137. 17 indexed citations
5.
Huirne, Judith A.F., et al.. (2010). Pituitary sensitizing effect of GnRH antagonists: a mechanism explaining LH escape during IVF?. Human Reproduction. 25(6). 1513–1519. 7 indexed citations
6.
Stehouwer, Coen D.A., Erik H. Serné, T. Korsen, et al.. (2009). Obese But Not Normal-Weight Women With Polycystic Ovary Syndrome Are Characterized by Metabolic and Microvascular Insulin Resistance. Obstetrical & Gynecological Survey. 64(6). 388–389. 7 indexed citations
7.
Stehouwer, Coen D.A., Erik H. Serné, T. Korsen, et al.. (2008). Obese But Not Normal-Weight Women with Polycystic Ovary Syndrome Are Characterized by Metabolic and Microvascular Insulin Resistance. The Journal of Clinical Endocrinology & Metabolism. 93(9). 3365–3372. 55 indexed citations
8.
Elting, Mariet W., Janet Kwee, T. Korsen, L.T.M. Rekers-Mombarg, & J. Schoemaker. (2003). Aging women with polycystic ovary syndrome who achieve regular menstrual cycles have a smaller follicle cohort than those who continue to have irregular cycles. Fertility and Sterility. 79(5). 1154–1160. 55 indexed citations
9.
Elting, Mariet W., T. Korsen, P.D. Bezemer, & J. Schoemaker. (2001). Prevalence of diabetes mellitus, hypertension and cardiac complaints in a follow-up study of a Dutch PCOS population. Human Reproduction. 16(3). 556–560. 193 indexed citations
10.
Elting, Mariet W., T. Korsen, & J. Schoemaker. (2001). Obesity, rather than menstrual cycle pattern or follicle cohort size, determines hyperinsulinaemia, dyslipidaemia and hypertension in ageing women with polycystic ovary syndrome. Clinical Endocrinology. 55(6). 767–776. 39 indexed citations
11.
Elting, Mariet W., T. Korsen, L.T.M. Rekers-Mombarg, & J. Schoemaker. (2000). Women with polycystic ovary syndrome gain regular menstrual cycles when ageing. Human Reproduction. 15(1). 24–28. 166 indexed citations
12.
Elting, Mariet W., T. Korsen, L.T.M. Rekers-Mombarg, & J. Schoemaker. (2000). Women With Polycystic Ovary Syndrome Gain Regular Menstrual Cycles When Ageing. Obstetrical & Gynecological Survey. 55(7). 434–435. 11 indexed citations
13.
Burger, Curt W., Peter G.A. Hompes, T. Korsen, & J. Schoemaker. (1989). Ovulation induction with pulsatile luteinizing hormone-releasing hormone in women with clomiphene citrate-resistant polycystic ovary-like disease: endocrine results. Fertility and Sterility. 51(1). 20–29. 6 indexed citations
14.
Burger, Curt W., T. Korsen, & J. Schoemaker. (1988). Pituitary response during pulsatile luteinizing hormone-releasing hormone ovulation - induction in patients with clomiphene citrate-resistant polycystic ovary-like disease. Gynecological Endocrinology. 2(1). 19–33. 2 indexed citations
15.
16.
17.
Burger, Curt W., T. Korsen, H. van Kessel, et al.. (1985). Pulsatile Luteinizing Hormone Patterns in the Follicular Phase of the Menstrual Cycle, Polycystic Ovarian Disease (PCOD) and Non-PCOD Secondary Amenorrhea. The Journal of Clinical Endocrinology & Metabolism. 61(6). 1126–1132. 100 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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