Tülay İrez

774 total citations
52 papers, 572 citations indexed

About

Tülay İrez is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Tülay İrez has authored 52 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Reproductive Medicine, 36 papers in Public Health, Environmental and Occupational Health and 12 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Tülay İrez's work include Reproductive Biology and Fertility (36 papers), Ovarian function and disorders (22 papers) and Sperm and Testicular Function (21 papers). Tülay İrez is often cited by papers focused on Reproductive Biology and Fertility (36 papers), Ovarian function and disorders (22 papers) and Sperm and Testicular Function (21 papers). Tülay İrez collaborates with scholars based in Türkiye, Malaysia and United States. Tülay İrez's co-authors include Onur Güralp, Sezai Şahmay, Pelin Öçal, İsmail Çepni, Meral Çetin, Semih Kaleli, Sulagna Dutta, Pallav Sengupta, Begüm Aydoğan Mathyk and Levent M. Şentürk and has published in prestigious journals such as SHILAP Revista de lepidopterología, Human Reproduction and Fertility and Sterility.

In The Last Decade

Tülay İrez

52 papers receiving 551 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tülay İrez Türkiye 14 422 338 136 56 55 52 572
Ashok Agarwal United States 7 431 1.0× 307 0.9× 56 0.4× 46 0.8× 76 1.4× 13 529
Iwan Lewis‐Jones United Kingdom 14 663 1.6× 416 1.2× 116 0.9× 119 2.1× 88 1.6× 29 851
H. Lee Higdon United States 13 398 0.9× 277 0.8× 178 1.3× 94 1.7× 56 1.0× 34 595
Franco Dondero Italy 15 600 1.4× 371 1.1× 72 0.5× 37 0.7× 103 1.9× 24 772
Silvia De Stefani Italy 12 215 0.5× 190 0.6× 105 0.8× 38 0.7× 93 1.7× 16 453
Cristina Rodríguez-Varela Spain 12 291 0.7× 310 0.9× 108 0.8× 144 2.6× 84 1.5× 32 515
Anusch Yazdani Australia 12 671 1.6× 436 1.3× 203 1.5× 74 1.3× 64 1.2× 33 900
Stefania Ferrari Italy 18 573 1.4× 432 1.3× 234 1.7× 108 1.9× 95 1.7× 47 865
Erdal Budak Türkiye 8 227 0.5× 202 0.6× 176 1.3× 59 1.1× 43 0.8× 9 475
Rob E. Bernardus Netherlands 18 681 1.6× 508 1.5× 420 3.1× 55 1.0× 66 1.2× 32 860

Countries citing papers authored by Tülay İrez

Since Specialization
Citations

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

Fields of papers citing papers by Tülay İrez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tülay İrez

This figure shows the co-authorship network connecting the top 25 collaborators of Tülay İrez. A scholar is included among the top collaborators of Tülay İrez 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 Tülay İrez. Tülay İrez 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.
2.
Ergüven, Mıne, Semra Kahraman, Caroline Pirkevi Çetinkaya, & Tülay İrez. (2023). Midkine can not be accepted as a new biomarker for unexplained female infertility. SHILAP Revista de lepidopterología. 48(6). 698–708. 1 indexed citations
3.
Ergüven, Mıne & Tülay İrez. (2023). P-180 Hyaluronidase used in oocyte denudation inhibits the proliferation and the viability of cumulus cells through the inhibition of midkine. Human Reproduction. 38(Supplement_1). 1 indexed citations
4.
5.
İrez, Tülay, et al.. (2022). Is there a relationship between infertility and fertilin β protein distribution?. Revista Internacional de Andrología. 20(4). 240–248. 1 indexed citations
6.
Dutta, Sulagna, Pallav Sengupta, Srikumar Chakravarthi, Tülay İrez, & Gül Baktır. (2021). Adiponectin: ‘a metabolic ballcock’ modulating immune responses and male reproduction. Chemical Biology Letters. 8(4). 171–182. 2 indexed citations
7.
Bhattacharya, Koushik, et al.. (2021). SARS-CoV-2 infection and human semen: possible modes of contamination and transmission. Middle East Fertility Society Journal. 26(1). 18–18. 12 indexed citations
8.
İrez, Tülay, et al.. (2020). Improvement of bovine in vitro embryo production by fetal calf serum and cysteamine supplementation and investigation of freezability. Ankara Üniversitesi Veteriner Fakültesi Dergisi. 68(1). 33–38. 1 indexed citations
9.
İrez, Tülay, et al.. (2020). Cytokines and adipokines in the regulation of spermatogenesis and semen quality. Chemical Biology Letters. 7(2). 131–139. 16 indexed citations
10.
Aydın, Yasemin, et al.. (2019). Evaluation of citrinin-induced toxic effects on mouse Sertoli cells. Drug and Chemical Toxicology. 44(6). 559–565. 13 indexed citations
11.
Mathyk, Begüm Aydoğan, et al.. (2018). Comparison of antagonist mild and long agonist protocols in terms of follicular fluid total antioxidant capacity. Taiwanese Journal of Obstetrics and Gynecology. 57(2). 194–199. 10 indexed citations
12.
Tanrıverdi, Gamze, et al.. (2013). Notch signaling pathway in cumulus cells can be a novel marker to identify poor and normal responder IVF patients. Journal of Assisted Reproduction and Genetics. 30(10). 1319–1326. 20 indexed citations
13.
Şahmay, Sezai, Onur Güralp, Begüm Aydoğan Mathyk, et al.. (2013). Anti-Müllerian hormone and polycystic ovary syndrome: assessment of the clinical pregnancy rates inin vitrofertilization patients. Gynecological Endocrinology. 29(5). 440–443. 14 indexed citations
14.
Şahmay, Sezai, Gökhan Demirayak, Onur Güralp, et al.. (2012). Serum Anti-müllerian hormone, follicle stimulating hormone and antral follicle count measurement cannot predict pregnancy rates in IVF/ICSI cycles. Journal of Assisted Reproduction and Genetics. 29(7). 589–595. 20 indexed citations
15.
Şahmay, Sezai, et al.. (2011). Serum anti‐müllerian hormone concentrations in reproductive age women with and without polycystic ovary syndrome: the influence of body mass index. Reproductive Medicine and Biology. 10(2). 113–120. 13 indexed citations
16.
Şahmay, Sezai, et al.. (2010). Serum anti‐Müllerian hormone level as a predictor of poor ovarian response in in vitro fertilization patients. Reproductive Medicine and Biology. 10(1). 9–14. 13 indexed citations
17.
Kaleli, Semih, et al.. (2005). High rate of aneuploidy in luteinized granulosa cells obtained from follicular fluid in women who underwent controlled ovarian hyperstimulation. Fertility and Sterility. 84(3). 802–804. 17 indexed citations
18.
Erel, C. Tamer, et al.. (2000). Sperm-preparation techniques for men with normal and abnormal semen analysis. A comparison.. PubMed. 45(11). 917–22. 12 indexed citations
19.
Kaleli, Semih, et al.. (2000). Does leukocytospermia associate with poor semen parameters and sperm functions in male infertility?. European Journal of Obstetrics & Gynecology and Reproductive Biology. 89(2). 185–191. 48 indexed citations
20.
İrez, Tülay, et al.. (1992). Effects of indoleamines on sperm motility in vitro. Human Reproduction. 7(7). 987–990. 22 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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