Zhiying Su

1.0k total citations
43 papers, 659 citations indexed

About

Zhiying Su is a scholar working on Molecular Biology, Genetics and Reproductive Medicine. According to data from OpenAlex, Zhiying Su has authored 43 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 15 papers in Genetics and 15 papers in Reproductive Medicine. Recurrent topics in Zhiying Su's work include Reproductive Biology and Fertility (12 papers), Sperm and Testicular Function (9 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers). Zhiying Su is often cited by papers focused on Reproductive Biology and Fertility (12 papers), Sperm and Testicular Function (9 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers). Zhiying Su collaborates with scholars based in China and Norway. Zhiying Su's co-authors include Libin Mei, Yan-Wei Sha, Xiaohui Xu, Ping Li, Lin Li, Zhiyong Ji, Yanwei Sha, Xiaoli Wei, Xiaoqin He and Xiong Wang and has published in prestigious journals such as Scientific Reports, Cellular and Molecular Life Sciences and Gene.

In The Last Decade

Zhiying Su

40 papers receiving 654 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhiying Su China 15 354 306 290 246 80 43 659
Jin-Yi Jiang Canada 15 284 0.8× 110 0.4× 472 1.6× 321 1.3× 56 0.7× 21 712
Roseanne Rosario United Kingdom 15 207 0.6× 129 0.4× 218 0.8× 234 1.0× 42 0.5× 25 484
Ioannis Simitsidellis United Kingdom 15 371 1.0× 168 0.5× 111 0.4× 122 0.5× 33 0.4× 18 646
Kyoko Kasahara Japan 13 431 1.2× 238 0.8× 234 0.8× 241 1.0× 30 0.4× 26 941
J. H. van Roijen Netherlands 10 197 0.6× 147 0.5× 161 0.6× 319 1.3× 23 0.3× 12 581
Nathalie Rives France 12 310 0.9× 158 0.5× 258 0.9× 133 0.5× 94 1.2× 40 540
Andrew M. Kelleher United States 15 356 1.0× 150 0.5× 192 0.7× 192 0.8× 108 1.4× 34 857
Margeaux Wetendorf United States 10 432 1.2× 188 0.6× 169 0.6× 118 0.5× 43 0.5× 11 787
Mahmoud Aarabi Iran 11 320 0.9× 122 0.4× 309 1.1× 183 0.7× 98 1.2× 21 602
Evrim Ünsal Türkiye 11 320 0.9× 175 0.6× 465 1.6× 279 1.1× 216 2.7× 26 800

Countries citing papers authored by Zhiying Su

Since Specialization
Citations

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

Fields of papers citing papers by Zhiying Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiying Su

This figure shows the co-authorship network connecting the top 25 collaborators of Zhiying Su. A scholar is included among the top collaborators of Zhiying Su 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 Zhiying Su. Zhiying Su 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.
Wu, Wenying, et al.. (2025). Bisphenol F (BPF) exposure impairs sperm quality and offspring development in male zebrafish. Toxicology and Applied Pharmacology. 496. 117245–117245. 2 indexed citations
2.
Su, Zhiying, Keyi Liu, Guochang Chen, et al.. (2025). Recombination and pathogenicity analysis of NADC30-like and QYYZ-like PRRSV strains in South China. Microbial Pathogenesis. 200. 107351–107351. 3 indexed citations
3.
Su, Zhiying, Li Sun, Xiaomei Yang, et al.. (2021). Overexpression of the PLK4 Gene as a Novel Strategy for the Treatment of Autosomal Recessive Microcephaly by Improving Centrosomal Dysfunction. Journal of Molecular Neuroscience. 71(12). 2618–2627. 1 indexed citations
4.
Su, Zhiying, Wenjia Hu, Qianyun Liu, et al.. (2021). Clinical and immunological characteristics in COVID-19 convalescent patients. European Journal of Clinical Microbiology & Infectious Diseases. 40(12). 2669–2676. 1 indexed citations
5.
Lü, Xiaohui, et al.. (2021). Thyroid‐stimulating hormone level is negatively associated with fertilization rate in patients with polycystic ovary syndrome undergoing in vitro fertilization. International Journal of Gynecology & Obstetrics. 155(1). 138–145. 13 indexed citations
6.
Cao, Jiali, et al.. (2021). The role of DNA methylation in syndromic and non-syndromic congenital heart disease. Clinical Epigenetics. 13(1). 93–93. 36 indexed citations
7.
Sha, Yanwei, Xiaoli Wei, Lu Ding, et al.. (2020). Biallelic mutations of CFAP74 may cause human primary ciliary dyskinesia and MMAF phenotype. Journal of Human Genetics. 65(11). 961–969. 43 indexed citations
8.
Liu, Hongli, Xiaoli Wei, Yanwei Sha, et al.. (2020). Whole-exome sequencing in patients with premature ovarian insufficiency: early detection and early intervention. Journal of Ovarian Research. 13(1). 114–114. 41 indexed citations
9.
Li, Juan, Jumei Liu, Li Zhao, et al.. (2020). Anticoagulation regimens during pregnancy in patients with mechanical heart valves: a protocol for a systematic review and network meta-analysis. BMJ Open. 10(2). e033917–e033917. 2 indexed citations
10.
Song, Liang, et al.. (2020). Highly Sensitive Electrochemical Detection of Folic Acid by Using a Hollow Carbon Nanospheres@molybdenum Disulfide Modified Electrode. Analytical Sciences. 37(4). 575–580. 3 indexed citations
11.
12.
Sha, Yanwei, Xiaoli Wei, Wensheng Liu, et al.. (2019). CCDC9 is identified as a novel candidate gene of severe asthenozoospermia. Systems Biology in Reproductive Medicine. 65(6). 465–473. 14 indexed citations
13.
Sha, Yanwei, Xiaoli Wei, Lu Ding, et al.. (2019). DNAH17 is associated with asthenozoospermia and multiple morphological abnormalities of sperm flagella. Annals of Human Genetics. 84(3). 271–279. 30 indexed citations
14.
Sha, Yan-Wei, Libin Mei, Zhiyong Ji, et al.. (2018). Two cases of complex balanced autosomal translocations associated with severe oligozoospermia. Gene. 663. 126–130. 3 indexed citations
15.
16.
Jin, Baofang, Zhiying Su, Libin Mei, et al.. (2018). Identification of a novel mutation in FGFR1 gene in patients with Kallmann syndrome by high throughput sequencing. Systems Biology in Reproductive Medicine. 64(3). 202–206. 4 indexed citations
17.
Sha, Yan-Wei, Xiong Wang, Zhiying Su, et al.. (2018). TDRD6 is associated with oligoasthenoteratozoospermia by sequencing the patient from a consanguineous family. Gene. 659. 84–88. 28 indexed citations
18.
Jin, Lin, Yan-Wei Sha, Pingping Qiu, et al.. (2017). Effects of hepatitis B virus infection in women with different ovarian reserve on outcomes of in vitro fertilization and embryo transfer. 37(2). 106–110. 1 indexed citations
19.
Li, Lin, Yan-Wei Sha, Zhiying Su, et al.. (2017). A novel mutation in HAUS7 results in severe oligozoospermia in two brothers. Gene. 639. 106–110. 16 indexed citations
20.
Chen, Qionghua, et al.. (2009). Change of proinflammatory cytokines follows certain patterns after induction of endometriosis in a mouse model. Fertility and Sterility. 93(5). 1448–1454. 14 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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