Dongzi Yang

4.3k total citations
80 papers, 2.0k citations indexed

About

Dongzi Yang is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Obstetrics and Gynecology. According to data from OpenAlex, Dongzi Yang has authored 80 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Reproductive Medicine, 40 papers in Public Health, Environmental and Occupational Health and 13 papers in Obstetrics and Gynecology. Recurrent topics in Dongzi Yang's work include Ovarian function and disorders (61 papers), Reproductive Biology and Fertility (38 papers) and Ovarian cancer diagnosis and treatment (9 papers). Dongzi Yang is often cited by papers focused on Ovarian function and disorders (61 papers), Reproductive Biology and Fertility (38 papers) and Ovarian cancer diagnosis and treatment (9 papers). Dongzi Yang collaborates with scholars based in China, United States and Macao. Dongzi Yang's co-authors include Xiaoli Chen, Yaxiao Chen, Yaqin Mo, Jia Huang, Lin Li, Xiaomiao Zhao, Qingxue Zhang, Liangan Wang, Linlin Jiang and Lin Li and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Endocrinology.

In The Last Decade

Dongzi Yang

79 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongzi Yang China 28 1.5k 1.1k 371 209 188 80 2.0k
Robert Spaczyński Poland 23 1.3k 0.8× 870 0.8× 249 0.7× 411 2.0× 171 0.9× 69 1.8k
Micheline C. Chu United States 14 649 0.4× 392 0.4× 190 0.5× 219 1.0× 128 0.7× 21 1.3k
Maurizio Guido Italy 23 1.3k 0.9× 845 0.8× 189 0.5× 369 1.8× 59 0.3× 94 1.7k
Miryam Asunción Spain 7 1.1k 0.7× 714 0.7× 212 0.6× 280 1.3× 54 0.3× 11 1.4k
Angela Palumbo United States 19 486 0.3× 439 0.4× 218 0.6× 208 1.0× 158 0.8× 46 1.0k
M. Breckwoldt Germany 21 676 0.4× 473 0.5× 216 0.6× 219 1.0× 226 1.2× 151 1.4k
Eleni Κousta United Kingdom 19 494 0.3× 378 0.4× 138 0.4× 301 1.4× 46 0.2× 40 1.2k
Qinling Zhu China 18 476 0.3× 295 0.3× 140 0.4× 45 0.2× 261 1.4× 34 779
Ashraf Aleyasin Iran 18 655 0.4× 581 0.6× 160 0.4× 39 0.2× 262 1.4× 63 1.0k
Anna Sokalska United States 16 591 0.4× 239 0.2× 99 0.3× 78 0.4× 181 1.0× 28 849

Countries citing papers authored by Dongzi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Dongzi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongzi Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Dongzi Yang. A scholar is included among the top collaborators of Dongzi Yang 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 Dongzi Yang. Dongzi Yang 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.
Zhao, Yang, et al.. (2025). Association between low basal serum total testosterone levels and the risk of recurrent pregnancy loss in women with infertility. European Journal of Obstetrics & Gynecology and Reproductive Biology. 307. 191–196.
2.
Yu, Hong, Zehong Zhou, Zhe Dong, & Dongzi Yang. (2023). Prevalence of polycystic ovary syndrome under NIH criteria among the tenth-grade Chinese schoolgirls in Guangzhou area: a cross-sectional epidemiological survey. BMC Women s Health. 23(1). 31–31. 9 indexed citations
3.
4.
Du, Tao, et al.. (2017). Simplified Analysis of Modified Ferriman-Gallwey Scoring System in Evaluation of ChineseWomen--A Prospective Follow-up Study in New Terminal Hair among Pregnant Women. Journal of Sun Yat-sen University. 38(5). 699. 1 indexed citations
5.
6.
Li, Yu, et al.. (2015). Comparison between follicular stimulation and luteal stimulation protocols with clomiphene and HMG in women with poor ovarian response. Gynecological Endocrinology. 32(1). 74–77. 27 indexed citations
7.
8.
Jiang, Linlin, Jia Huang, Lin Li, et al.. (2015). MicroRNA-93 Promotes Ovarian Granulosa Cells Proliferation Through Targeting CDKN1A in Polycystic Ovarian Syndrome. The Journal of Clinical Endocrinology & Metabolism. 100(5). E729–E738. 121 indexed citations
9.
Yang, Yabo, et al.. (2015). Assessing new terminal body and facial hair growth during pregnancy: toward developing a simplified visual scoring system for hirsutism. Fertility and Sterility. 105(2). 494–500. 8 indexed citations
10.
Zhang, Xiaojing, Lili Huang, Huanxing Su, et al.. (2014). Characterizing plasma phospholipid fatty acid profiles of polycystic ovary syndrome patients with and without insulin resistance using GC–MS and chemometrics approach. Journal of Pharmaceutical and Biomedical Analysis. 95. 85–92. 36 indexed citations
11.
Zhao, Xiaomiao, et al.. (2014). Półilościowa ocena hirsutyzmu u 850 pacjentek z zespołem policystycznych jajników i 2988 kobiet z grupy kontrolnej w Chinach. Endokrynologia Polska. 65(5). 365–370. 4 indexed citations
12.
Li, Rong, et al.. (2012). Epidemiology of hirsutism among women of reproductive age in the community: a simplified scoring system. European Journal of Obstetrics & Gynecology and Reproductive Biology. 163(2). 165–169. 36 indexed citations
13.
Ma, Yun, Xianghong Chen, Wenjun Wang, et al.. (2012). Different diagnostic power of anti-Mullerian hormone in evaluating women with polycystic ovaries with and without hyperandrogenism. Journal of Assisted Reproduction and Genetics. 29(10). 1147–1151. 26 indexed citations
14.
Yang, Dongzi. (2011). Letrozole,tamoxifen or clomiphene citrate for ovulation induction in women with polycystic ovarian syndrome after pretreatment:a prospective randomized trial. 1 indexed citations
15.
Zhao, Xiaomiao, Lin Li, Yaqin Mo, et al.. (2011). Defining hirsutism in Chinese women: a cross-sectional study. Fertility and Sterility. 96(3). 792–796. 109 indexed citations
16.
Huang, Jia, et al.. (2010). Metabolic abnormalities in adolescents with polycystic ovary syndrome in south china. Reproductive Biology and Endocrinology. 8(1). 142–142. 44 indexed citations
17.
Chen, X., Rui Ni, Ying‐Qian Mo, Lei Li, & Dongzi Yang. (2010). Appropriate BMI levels for PCOS patients in Southern China. Human Reproduction. 25(5). 1295–1302. 50 indexed citations
18.
Mo, Yaqin, et al.. (2009). Low prevalence of the metabolic syndrome but high occurrence of various metabolic disorders in Chinese women with polycystic ovary syndrome. European Journal of Endocrinology. 161(3). 411–418. 34 indexed citations
19.
Li, Lei, et al.. (2008). Ovarian volume and follicle number in the diagnosis of polycystic ovary syndrome in Chinese women. Ultrasound in Obstetrics and Gynecology. 32(5). 700–703. 44 indexed citations
20.
Huang, Ruochun, Ying Lin, Yan Fan, et al.. (2001). Enhanced apoptosis under low serum conditions in human glioblastoma cells by connexin 43 (Cx43). Molecular Carcinogenesis. 32(3). 128–138. 35 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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