Shanjun Dai

1.7k total citations
37 papers, 930 citations indexed

About

Shanjun Dai is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Shanjun Dai has authored 37 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Public Health, Environmental and Occupational Health, 16 papers in Reproductive Medicine and 12 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Shanjun Dai's work include Reproductive Biology and Fertility (21 papers), Ovarian function and disorders (9 papers) and Sperm and Testicular Function (8 papers). Shanjun Dai is often cited by papers focused on Reproductive Biology and Fertility (21 papers), Ovarian function and disorders (9 papers) and Sperm and Testicular Function (8 papers). Shanjun Dai collaborates with scholars based in China, Canada and United States. Shanjun Dai's co-authors include B.T. Ooi, Yingpu Sun, Qingling Yang, Guidong Yao, Linli Hu, Haixia Jin, Xiaoyan Luo, Xiaoming Wang, F.D. Galiana and Jinhao Liu and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Hazardous Materials and Free Radical Biology and Medicine.

In The Last Decade

Shanjun Dai

35 papers receiving 906 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shanjun Dai China 16 489 449 207 185 181 37 930
Dong Seok Han South Korea 15 392 0.8× 252 0.6× 44 0.2× 238 1.3× 48 0.3× 43 681
Yu-Chen Lai China 11 62 0.1× 83 0.2× 22 0.1× 131 0.7× 23 0.1× 25 465
Aleksandra Vilotić Serbia 12 45 0.1× 24 0.1× 62 0.3× 166 0.9× 16 0.1× 30 493
Mingyang Li China 12 74 0.2× 79 0.2× 17 0.1× 117 0.6× 16 0.1× 22 435
William E. Findley United States 9 226 0.5× 252 0.6× 97 0.5× 139 0.8× 4 0.0× 13 529
Tianxia Xiao China 15 87 0.2× 104 0.2× 49 0.2× 203 1.1× 6 0.0× 33 615
Mehmet Okan Özkaya Türkiye 7 86 0.2× 78 0.2× 120 0.6× 25 0.1× 7 0.0× 19 392
Chunlian Liu China 12 49 0.1× 45 0.1× 21 0.1× 237 1.3× 4 0.0× 28 500
Xiao Hong United States 12 50 0.1× 10 0.0× 68 0.3× 97 0.5× 24 0.1× 26 370
Tayebe Artimani Iran 11 135 0.3× 205 0.5× 22 0.1× 82 0.4× 4 0.0× 34 429

Countries citing papers authored by Shanjun Dai

Since Specialization
Citations

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

Fields of papers citing papers by Shanjun Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanjun Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Shanjun Dai. A scholar is included among the top collaborators of Shanjun Dai 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 Shanjun Dai. Shanjun Dai 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
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Zhang, Menghui, Xiaocong Liu, Xiaolu Xu, et al.. (2023). The reference value of anti-Müllerian hormone to diagnose polycystic ovary syndrome is inversely associated with BMI: a retrospective study. Reproductive Biology and Endocrinology. 21(1). 15–15. 11 indexed citations
4.
Xu, Jiawei, Yimin Shu, Guidong Yao, et al.. (2021). Parental methylome reprogramming in human uniparental blastocysts reveals germline memory transition. Genome Research. 31(9). 1519–1530. 7 indexed citations
5.
Sun, Bo, Yujia Ma, Lü Li, et al.. (2021). Factors Associated with Ovarian Hyperstimulation Syndrome (OHSS) Severity in Women With Polycystic Ovary Syndrome Undergoing IVF/ICSI. Frontiers in Endocrinology. 11. 615957–615957. 62 indexed citations
6.
Yang, Qingling, Luping Cong, Yujiao Wang, et al.. (2020). Increasing ovarian NAD+ levels improve mitochondrial functions and reverse ovarian aging. Free Radical Biology and Medicine. 156. 1–10. 88 indexed citations
7.
Yang, Qingling, Yanyan Miao, Xiaoyan Luo, et al.. (2020). CdSe/ZnS quantum dots induced spermatogenesis dysfunction via autophagy activation. Journal of Hazardous Materials. 398. 122327–122327. 41 indexed citations
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Zhang, Fuli, Xiaocong Liu, Linli Hu, et al.. (2019). Impact of Female Obesity on Cumulative Live Birth Rates in the First Complete Ovarian Stimulation Cycle. Frontiers in Endocrinology. 10. 516–516. 30 indexed citations
10.
Li, Jing, Xiaocong Liu, Linli Hu, et al.. (2019). A Slower Age-Related Decline in Treatment Outcomes After the First Ovarian Stimulation for in vitro Fertilization in Women With Polycystic Ovary Syndrome. Frontiers in Endocrinology. 10. 834–834. 10 indexed citations
11.
Yang, Qingling, Shanjun Dai, Xiaoyan Luo, et al.. (2018). Melatonin attenuates postovulatory oocyte dysfunction by regulating SIRT1 expression. Reproduction. 156(1). 81–92. 65 indexed citations
12.
Yang, Qingling, Xiaoyan Luo, Rui Bai, et al.. (2018). Shorter leukocyte telomere length is associated with risk of nonobstructive azoospermia. Fertility and Sterility. 110(4). 648–654.e1. 8 indexed citations
13.
Zhai, Jun, Guidong Yao, Fangli Dong, et al.. (2016). In Vitro Activation of Follicles and Fresh Tissue Auto-transplantation in Primary Ovarian Insufficiency Patients. The Journal of Clinical Endocrinology & Metabolism. 101(11). 4405–4412. 145 indexed citations
14.
Yang, Hongyi, Qingling Yang, Shanjun Dai, et al.. (2016). Comparison of differences in development potentials between frozen-thawed D5 and D6 blastocysts and their relationship with pregnancy outcomes. Journal of Assisted Reproduction and Genetics. 33(7). 865–872. 46 indexed citations
15.
Yang, Qingling, Nan Zhang, Feifei Zhao, et al.. (2015). Processing of semen by density gradient centrifugation selects spermatozoa with longer telomeres for assisted reproduction techniques. Reproductive BioMedicine Online. 31(1). 44–50. 36 indexed citations
16.
Yang, Qingling, et al.. (2015). Sperm telomere length is positively associated with the quality of early embryonic development. Human Reproduction. 30(8). 1876–1881. 72 indexed citations
17.
Jin, Haixia, Shanjun Dai, Wenyan Song, et al.. (2014). Embryo developmental potential of microsurgically corrected human three-pronuclear zygotes. Systems Biology in Reproductive Medicine. 61(2). 96–102. 10 indexed citations
18.
Dai, Shanjun, et al.. (2014). [The analysis of the correlation of tympanic injection of triamcinolone acetonide and middle ear pressure after radiotherapy].. PubMed. 28(22). 1785–8.
19.
Dai, Shanjun, Yuhuan Qiao, Haixia Jin, et al.. (2012). Effect of coincubation time of sperm-oocytes on fertilization, embryonic development, and subsequent pregnancy outcome. Systems Biology in Reproductive Medicine. 58(6). 348–353. 15 indexed citations
20.
Jin, Haixia, et al.. (2012). Effects of Cumulus Cells on Vitreous Cryopreservation of Human Mature Oocytes and Clinical Pregnancy Outcomes. Reproductive Sciences. 19(2). 216–220. 8 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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