Ye Cao

3.2k total citations · 2 hit papers
70 papers, 2.0k citations indexed

About

Ye Cao is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Ye Cao has authored 70 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 24 papers in Genetics and 14 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Ye Cao's work include Genomic variations and chromosomal abnormalities (15 papers), Prenatal Screening and Diagnostics (14 papers) and Air Quality and Health Impacts (8 papers). Ye Cao is often cited by papers focused on Genomic variations and chromosomal abnormalities (15 papers), Prenatal Screening and Diagnostics (14 papers) and Air Quality and Health Impacts (8 papers). Ye Cao collaborates with scholars based in China, Hong Kong and United States. Ye Cao's co-authors include Weili Han, Yee Shan Wong, Subbu S. Venkatraman, Yang Tan, Cheuk-Wa Wong, Shitao Rao, Jinfang Zhang, Stephen Kwok‐Wing Tsui, Qi Zhang and Mai Shi and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Ye Cao

66 papers receiving 1.9k citations

Hit Papers

Translation of the circular RNA circβ-catenin promotes li... 2019 2026 2021 2023 2019 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ye Cao China 17 923 361 361 338 249 70 2.0k
Wenyong Li China 19 311 0.3× 365 1.0× 127 0.4× 149 0.4× 31 0.1× 93 1.3k
Kefei Chen China 24 694 0.8× 269 0.7× 143 0.4× 346 1.0× 18 0.1× 113 2.1k
Yueqin Liu China 30 1.7k 1.8× 59 0.2× 918 2.5× 203 0.6× 38 0.2× 131 3.1k
Bao Yuan China 22 845 0.9× 92 0.3× 530 1.5× 202 0.6× 47 0.2× 172 1.7k
Lingjuan Li China 19 245 0.3× 124 0.3× 124 0.3× 20 0.1× 7 0.0× 71 1.0k
Wenqiang Liu China 23 2.2k 2.4× 231 0.6× 310 0.9× 324 1.0× 199 0.8× 135 2.9k
Shuangshuang Chen China 21 791 0.9× 517 1.4× 244 0.7× 67 0.2× 18 0.1× 91 1.7k
Tong Zhou China 23 1.0k 1.1× 110 0.3× 79 0.2× 106 0.3× 3 0.0× 83 2.8k
Xing Ming China 21 379 0.4× 109 0.3× 127 0.4× 44 0.1× 12 0.0× 94 1.2k
Lulu Wei China 22 886 1.0× 260 0.7× 175 0.5× 68 0.2× 9 0.0× 107 1.8k

Countries citing papers authored by Ye Cao

Since Specialization
Citations

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

Fields of papers citing papers by Ye Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Ye Cao. A scholar is included among the top collaborators of Ye 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 Ye Cao. Ye 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.
Chau, Matthew Hoi Kin, Mahesh Choolani, Zirui Dong, Ye Cao, & Kwong Wai Choy. (2024). Genome sequencing in the prenatal diagnosis of structural malformations in the fetus. Best Practice & Research Clinical Obstetrics & Gynaecology. 97. 102539–102539. 3 indexed citations
2.
Zheng, Yu, Lo Wong, Angel Hoi Wan Kwan, et al.. (2023). Prenatal diagnosis of polycystic kidney caused by biallelic hypomorphic variants in the PKD1 gene. Prenatal Diagnosis. 44(2). 247–250. 1 indexed citations
3.
Li, Ying, Matthew Hoi Kin Chau, Tin Chiu Li, et al.. (2023). A pilot investigation of low-pass genome sequencing identifying site-specific variation in chromosomal mosaicisms by a multiple site sampling approach in first-trimester miscarriages. Human Reproduction. 38(8). 1628–1642. 4 indexed citations
4.
Li, Keying, Matthew Hoi Kin Chau, Ye Cao, et al.. (2023). Low-Pass Genome Sequencing-Based Detection of Paternity: Validation in Clinical Cytogenetics. Genes. 14(7). 1357–1357. 3 indexed citations
6.
Zhou, Ziheng, Shuguang Wang, Dengwei Zhang, et al.. (2023). Single-cell analysis reveals specific neuronal transition during mouse corticogenesis. Frontiers in Cell and Developmental Biology. 11. 1209320–1209320. 1 indexed citations
7.
Cao, Ye, Eva Fung, Soledad Kleppe, et al.. (2022). Expansion of the clinical and molecular spectrum of WWOX‐related epileptic encephalopathy. American Journal of Medical Genetics Part A. 191(3). 776–785. 2 indexed citations
8.
Qian, Lei, et al.. (2022). The exploration and utilization of functional substances in edible insects: a review. Food Production Processing and Nutrition. 4(1). 22 indexed citations
10.
Dong, Zirui, Matthew Hoi Kin Chau, Ye Cao, et al.. (2022). Mate-pair genome sequencing reveals structural variants for idiopathic male infertility. Human Genetics. 142(3). 363–377. 3 indexed citations
11.
Cao, Ye, Ho‐Ming Luk, Yanyan Zhang, et al.. (2022). Investigation of Chromosomal Structural Abnormalities in Patients With Undiagnosed Neurodevelopmental Disorders. Frontiers in Genetics. 13. 803088–803088. 2 indexed citations
12.
Xu, Jinhua, Sen Bai, Ye Cao, et al.. (2020). miRNA-221-3p in Endothelial Progenitor Cell-Derived Exosomes Accelerates Skin Wound Healing in Diabetic Mice. SHILAP Revista de lepidopterología. 5 indexed citations
13.
Zhu, Xiaofan, Jingsi Chen, Ye Cao, et al.. (2020). Noninvasive prenatal sequencing for multiple Mendelian monogenic disorders among fetuses with skeletal dysplasia or increased nuchal translucency. Prenatal Diagnosis. 40(11). 1459–1465. 13 indexed citations
14.
Choy, Kwong Wai, Huilin Wang, Mengmeng Shi, et al.. (2019). Prenatal Diagnosis of Fetuses With Increased Nuchal Translucency by Genome Sequencing Analysis. Frontiers in Genetics. 10. 761–761. 51 indexed citations
15.
Liang, Weicheng, Cheuk-Wa Wong, Puping Liang, et al.. (2019). Translation of the circular RNA circβ-catenin promotes liver cancer cell growth through activation of the Wnt pathway. Genome biology. 20(1). 84–84. 369 indexed citations breakdown →
16.
Choy, Kwong Wai, et al.. (2018). Target-enriched massively parallel sequencing for genetic diagnosis of hereditary hearing loss in patients with normal array CGH result.. PubMed. 24 Suppl 3(3). 11–14. 3 indexed citations
17.
Liu, Su, et al.. (2018). Identification of putative cytochrome P450 monooxygenase genes from the small white butterfly, Pieris rapae (Lepidoptera: Pieridae), and their response to insecticides. Archives of Insect Biochemistry and Physiology. 98(1). e21455–e21455. 13 indexed citations
19.
Mohan, K. Naga, Ye Cao, Sau Wai Cheung, et al.. (2018). Phenotypic association of 15q11.2 CNVs of the region of breakpoints 1–2 (BP1–BP2) in a large cohort of samples referred for genetic diagnosis. Journal of Human Genetics. 64(3). 253–255. 7 indexed citations
20.
Cao, Ye, Hong Li, Jing Mao, et al.. (2014). SNaPshot reveals high mutation and carrier frequencies of 15 common hearing loss mutants in a Chinese newborn cohort. Clinical Genetics. 87(5). 467–472. 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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