Yunxia Cao

12.0k total citations · 1 hit paper
336 papers, 5.7k citations indexed

About

Yunxia Cao is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine and Molecular Biology. According to data from OpenAlex, Yunxia Cao has authored 336 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 160 papers in Public Health, Environmental and Occupational Health, 154 papers in Reproductive Medicine and 105 papers in Molecular Biology. Recurrent topics in Yunxia Cao's work include Reproductive Biology and Fertility (128 papers), Sperm and Testicular Function (76 papers) and Ovarian function and disorders (60 papers). Yunxia Cao is often cited by papers focused on Reproductive Biology and Fertility (128 papers), Sperm and Testicular Function (76 papers) and Ovarian function and disorders (60 papers). Yunxia Cao collaborates with scholars based in China, United States and Australia. Yunxia Cao's co-authors include Zhaolian Wei, Zhiguo Zhang, Ping Zhou, Xiaojin He, Huan Wu, Dongmei Ji, Qiong Xing, Beili Chen, Yuping Xu and Binbin Wang and has published in prestigious journals such as Cell, The Lancet and Nature Communications.

In The Last Decade

Yunxia Cao

319 papers receiving 5.6k citations

Hit Papers

Epidemiology of infertility in China: a population‐based ... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yunxia Cao China 34 2.6k 2.5k 1.8k 1.0k 808 336 5.7k
Rod T. Mitchell United Kingdom 39 1.8k 0.7× 1.6k 0.7× 1.7k 0.9× 1.0k 1.0× 585 0.7× 154 5.0k
Hefeng Huang China 43 1.8k 0.7× 1.8k 0.7× 1.6k 0.9× 680 0.6× 1.7k 2.2× 286 6.4k
Mark Gibson United States 38 2.0k 0.8× 1.3k 0.5× 940 0.5× 756 0.7× 692 0.9× 125 5.0k
Rong Li China 47 3.7k 1.4× 3.7k 1.5× 2.6k 1.4× 632 0.6× 1.5k 1.8× 442 9.3k
Singh Rajender India 37 1.5k 0.6× 860 0.3× 1.7k 0.9× 843 0.8× 335 0.4× 184 4.3k
Sandro C. Esteves Brazil 55 7.4k 2.8× 5.4k 2.2× 1.6k 0.9× 1.0k 1.0× 1.8k 2.2× 269 9.1k
Elizabeth E. Puscheck United States 34 1.1k 0.4× 1.2k 0.5× 1.2k 0.6× 343 0.3× 516 0.6× 128 3.8k
James H. Segars United States 53 4.4k 1.7× 1.9k 0.8× 2.2k 1.2× 1.4k 1.4× 1.3k 1.6× 282 9.0k
Antonis Makrigiannakis Greece 46 2.2k 0.8× 1.6k 0.7× 1.5k 0.8× 766 0.7× 721 0.9× 175 8.4k
Catherine Racowsky United States 47 5.2k 2.0× 5.6k 2.3× 1.6k 0.9× 543 0.5× 4.1k 5.0× 228 9.1k

Countries citing papers authored by Yunxia Cao

Since Specialization
Citations

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

Fields of papers citing papers by Yunxia Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunxia Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Yunxia Cao. A scholar is included among the top collaborators of Yunxia Cao 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 Yunxia Cao. Yunxia Cao 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.
Zhou, Yi, Xiaoling Liu, Ting Cheng, et al.. (2025). Integrative deep learning and radiomics analysis for ovarian tumor classification and diagnosis: a multicenter large-sample comparative study. La radiologia medica. 130(6). 889–904.
2.
Xu, Qi, Li Zhang, Binbin Huang, et al.. (2025). SIRT2 alleviates pre-eclampsia via prompting mitochondrial biogenesis and function.. Life Sciences. 371. 123566–123566. 1 indexed citations
3.
Yang, Fan, Huiru Cheng, Kuokuo Li, et al.. (2025). Novel homozygous variants in piRNA pathway factors lead to male infertility in humans. Reproductive BioMedicine Online. 51(3). 104974–104974. 1 indexed citations
4.
Li, Kuokuo, et al.. (2025). Defects in mRNA splicing and implications for infertility: a comprehensive review and in silico analysis. Human Reproduction Update. 31(3). 218–239. 1 indexed citations
5.
Guo, Rui, Huan Wu, Xiaoyu Zhu, et al.. (2024). Bi-allelic variants in chromatoid body protein TDRD6 cause spermiogenesis defects and severe oligoasthenoteratozoospermia in humans. Journal of Medical Genetics. 61(6). 553–565. 9 indexed citations
6.
Wu, Huan, Lingbo Wang, Shuyan Tang, et al.. (2024). Deficiency of MFSD6L, an acrosome membrane protein, causes oligoasthenoteratozoospermia in humans and mice. Journal of genetics and genomics. 51(10). 1007–1019. 4 indexed citations
7.
Gao, Yang, Rufeng Xue, Rui Guo, et al.. (2024). CALR3 defects disrupt sperm-zona pellucida binding in humans: new insights into male factor fertilization failure and relevant clinical therapeutic approaches. Human Reproduction. 39(11). 2608–2617. 1 indexed citations
8.
Wang, Xing, Juan Tong, Chunmei Liang, et al.. (2023). Trimester-specific effects of maternal exposure to single and mixed metals on cord serum inflammatory cytokines levels: A prospective birth cohort study. The Science of The Total Environment. 895. 165086–165086. 13 indexed citations
9.
Zhu, Xiaoyu, Huiru Cheng, Huan Wu, et al.. (2023). Novel MEIOB pathogenic variants including a homozygous non‐canonical splicing variant, cause meiotic arrest and human non‐obstructive azoospermia. Clinical Genetics. 105(1). 99–105. 7 indexed citations
10.
Zhang, Qing, Tingting Jiang, Mengzhu Li, et al.. (2023). Serum Cu, Zn and IL–1β Levels May Predict Fetal Miscarriage Risk After IVF Cycles: A Nested Case–Control Study. Biological Trace Element Research. 201(12). 5561–5574. 5 indexed citations
14.
Zhang, Jing, Jiahua Chen, Xiaojing Liu, et al.. (2023). NLRC5 potentiates anti-tumor CD8+ T cells responses by activating interferon-β in endometrial cancer. Translational Oncology. 36. 101742–101742. 3 indexed citations
15.
Hua, Rong, Rufeng Xue, Yiyuan Liu, et al.. (2023). ACROSIN deficiency causes total fertilization failure in humans by preventing the sperm from penetrating the zona pellucida. Human Reproduction. 38(6). 1213–1223. 13 indexed citations
16.
Yang, Jinxin, et al.. (2022). MAGDM in hesitant interval-valued Pythagorean linguistic Z-number based on combined score function and entropy. International Journal of Machine Learning and Cybernetics. 13(10). 3173–3198. 6 indexed citations
17.
Wu, Huan, Ying Wang, Qunshan Shen, et al.. (2021). Bi‐allelic mutations in MCIDA S and CCNO cause human infertility associated with abnormal gamete transport. Clinical Genetics. 100(6). 731–742. 9 indexed citations
18.
Wu, Huan, Xin Zhang, Qunshan Shen, et al.. (2021). A homozygous loss‐of‐function mutation in FBXO43 causes human non‐obstructive azoospermia. Clinical Genetics. 101(1). 55–64. 13 indexed citations
19.
Wang, Yu, Hao Yan, Qianhua Xu, et al.. (2021). A homozygous missense mutation in TBPL2 is associated with oocyte maturation arrest and degeneration. Clinical Genetics. 100(3). 324–328. 10 indexed citations
20.
Liu, Chunyu, Ying Shen, Qunshan Shen, et al.. (2021). Novel Mutations in X-Linked, USP26-Induced Asthenoteratozoospermia and Male Infertility. Cells. 10(7). 1594–1594. 12 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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