Can Dai

637 total citations
22 papers, 446 citations indexed

About

Can Dai is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology and Reproductive Medicine. According to data from OpenAlex, Can Dai has authored 22 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Public Health, Environmental and Occupational Health, 8 papers in Molecular Biology and 8 papers in Reproductive Medicine. Recurrent topics in Can Dai's work include Reproductive Biology and Fertility (14 papers), Ovarian function and disorders (5 papers) and Prenatal Screening and Diagnostics (5 papers). Can Dai is often cited by papers focused on Reproductive Biology and Fertility (14 papers), Ovarian function and disorders (5 papers) and Prenatal Screening and Diagnostics (5 papers). Can Dai collaborates with scholars based in China, Saudi Arabia and Hong Kong. Can Dai's co-authors include Ge Lin, Jing Dai, Guangxiu Lu, Jing Guo, Wei Zheng, Changfu Lu, Fei Gong, Guangxiu Lu, Liang Hu and Shuoping Zhang and has published in prestigious journals such as Journal of Biological Chemistry, The American Journal of Human Genetics and Gene.

In The Last Decade

Can Dai

21 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Can Dai China 11 310 234 209 122 94 22 446
Virginie Pierre France 6 289 0.9× 225 1.0× 341 1.6× 249 2.0× 41 0.4× 7 542
B. Vandamme Belgium 12 362 1.2× 169 0.7× 429 2.1× 121 1.0× 99 1.1× 18 564
Thassadite Dirami France 6 115 0.4× 113 0.5× 141 0.7× 94 0.8× 24 0.3× 7 284
Lingxiang Wang China 9 98 0.3× 168 0.7× 138 0.7× 175 1.4× 25 0.3× 25 381
Elias Elinati United Kingdom 11 261 0.8× 357 1.5× 237 1.1× 228 1.9× 53 0.6× 15 569
Elizabeth P. Jeffries United States 5 161 0.5× 213 0.9× 71 0.3× 170 1.4× 33 0.4× 6 344
Aixiang Luo China 8 119 0.4× 161 0.7× 130 0.6× 154 1.3× 27 0.3× 10 317
Mariem Ben Khelifa France 7 351 1.1× 249 1.1× 435 2.1× 347 2.8× 68 0.7× 12 626
Pawan Puri United States 10 104 0.3× 206 0.9× 148 0.7× 94 0.8× 21 0.2× 19 351
Manon S. Oud Netherlands 11 228 0.7× 325 1.4× 352 1.7× 337 2.8× 75 0.8× 22 608

Countries citing papers authored by Can Dai

Since Specialization
Citations

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

Fields of papers citing papers by Can Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Can Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Can Dai. A scholar is included among the top collaborators of Can 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 Can Dai. Can 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
1.
Li, Bao, et al.. (2025). Exploring the Causal Relationship Between Osteoporosis and Rheumatoid Arthritis: A Bidirectional Mendelian Randomization Study. Orthopedic Research and Reviews. Volume 17. 147–157. 1 indexed citations
2.
3.
Wu, Huixia, Wei Zheng, Dehua Cheng, et al.. (2023). Novel biallelic ASTL variants are associated with polyspermy and female infertility: A successful live birth following ICSI treatment. Gene. 887. 147745–147745. 5 indexed citations
4.
Zeng, Sicong, Congxiu Miao, Huixia Wu, et al.. (2023). A 1-kb human CDCA8 promoter directs the spermatogonia-specific luciferase expression in adult testis. Gene. 866. 147350–147350. 1 indexed citations
5.
Shen, Ying, Jing Guo, Xueguang Zhang, et al.. (2022). Identification of a heterozygous variant of ZP2 as a novel cause of empty follicle syndrome in humans and mice. Human Reproduction. 37(4). 859–872. 13 indexed citations
6.
Dai, Jing, Tianlei Zhang, Jing Guo, et al.. (2021). Homozygous pathogenic variants in ACTL9 cause fertilization failure and male infertility in humans and mice. The American Journal of Human Genetics. 108(3). 469–481. 58 indexed citations
7.
Chen, Yongzhe, Wenbin He, Juan Du, et al.. (2021). Case Report: A Novel Heterozygous ZP3 Deletion Associated With Empty Follicle Syndrome and Abnormal Follicular Development. Frontiers in Genetics. 12. 690070–690070. 12 indexed citations
8.
Zheng, Wei, Huiling Hu, Jing Dai, et al.. (2020). Expanding the genetic and phenotypic spectrum of the subcortical maternal complex genes in recurrent preimplantation embryonic arrest. Clinical Genetics. 99(2). 286–291. 34 indexed citations
9.
Dai, Jing, Can Dai, Jing Guo, et al.. (2019). Novel homozygous variations in PLCZ1 lead to poor or failed fertilization characterized by abnormal localization patterns of PLCζ in sperm. Clinical Genetics. 97(2). 347–351. 40 indexed citations
10.
Dai, Jing, Wei Zheng, Can Dai, et al.. (2019). New biallelic mutations in WEE2: expanding the spectrum of mutations that cause fertilization failure or poor fertilization. Fertility and Sterility. 111(3). 510–518. 32 indexed citations
11.
Zheng, Wei, Longbin Chen, Jing Dai, et al.. (2019). New biallelic mutations in PADI6 cause recurrent preimplantation embryonic arrest characterized by direct cleavage. Journal of Assisted Reproduction and Genetics. 37(1). 205–212. 34 indexed citations
12.
13.
Dai, Can, Liang Hu, Fei Gong, et al.. (2018). ZP2 pathogenic variants cause in vitro fertilization failure and female infertility. Genetics in Medicine. 21(2). 431–440. 79 indexed citations
14.
He, Wenbin, Juan Du, Xiaowen Yang, et al.. (2018). Novel inactivating mutations in the FSH receptor cause premature ovarian insufficiency with resistant ovary syndrome. Reproductive BioMedicine Online. 38(3). 397–406. 27 indexed citations
15.
Dai, Can, et al.. (2017). The allelopathic potential of Oxalis rubra on seedlings of Veronica persica under different environments.. Pakistan Journal of Botany. 49(4). 1491–1496. 2 indexed citations
16.
Gu, Yifan, Qi Ouyang, Can Dai, et al.. (2016). Abnormalities in centrosome number in human embryos and embryonic stem cells. Molecular Reproduction and Development. 83(5). 392–404. 3 indexed citations
17.
Li, Ting, et al.. (2015). An estimation of the outcrossing rate in Sagittaria trifolia using SSR fluorescence markers.. Plant Science Journal. 33(4). 554–563. 2 indexed citations
18.
Dai, Can, Congxiu Miao, Xiaoming Xu, et al.. (2015). Transcriptional Activation of Human CDCA8 Gene Regulated by Transcription Factor NF-Y in Embryonic Stem Cells and Cancer Cells. Journal of Biological Chemistry. 290(37). 22423–22434. 57 indexed citations
19.
Dai, Can, et al.. (2010). Site-directed mutagenesis based on overlap extension PCR.. Xiandai shengwu yixue jinzhan. 10(3). 411–412. 2 indexed citations
20.
Dai, Can, et al.. (2008). [Mutation screening of the TYR and P gene in three patients with oculocutaneous albinism].. PubMed. 25(4). 373–7. 2 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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