Suying Cao

1.3k total citations
19 papers, 663 citations indexed

About

Suying Cao is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Suying Cao has authored 19 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Biomedical Engineering. Recurrent topics in Suying Cao's work include Pluripotent Stem Cells Research (12 papers), CRISPR and Genetic Engineering (11 papers) and Animal Genetics and Reproduction (5 papers). Suying Cao is often cited by papers focused on Pluripotent Stem Cells Research (12 papers), CRISPR and Genetic Engineering (11 papers) and Animal Genetics and Reproduction (5 papers). Suying Cao collaborates with scholars based in China, Singapore and United States. Suying Cao's co-authors include Jianyong Han, Bing Lim, Wei Zhang, Yangli Pei, Pin Li, Henry Yang, Ping Yuan, Siew Lan Lim, Wai Leong Tam and Thomas Lufkin and has published in prestigious journals such as Nature, Nature Communications and PLoS ONE.

In The Last Decade

Suying Cao

18 papers receiving 646 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suying Cao China	12	532	155	82	75	75	19	663
Tim Blauwkamp United States	5	602 1.1×	95 0.6×	28 0.3×	66 0.9×	36 0.5×	6	657
Namritha Ravinder United States	7	950 1.8×	242 1.6×	43 0.5×	26 0.3×	38 0.5×	11	1.0k
Cuiqing Zhong China	10	715 1.3×	242 1.6×	132 1.6×	77 1.0×	57 0.8×	15	854
Eirik A. Moreb United States	10	1.1k 2.1×	369 2.4×	32 0.4×	40 0.5×	82 1.1×	15	1.2k
Rene H. Quintanilla United States	7	694 1.3×	155 1.0×	38 0.5×	28 0.4×	63 0.8×	11	757
Yumei Luo China	16	337 0.6×	66 0.4×	35 0.4×	45 0.6×	45 0.6×	32	469
Jens Durruthy-Durruthy United States	9	485 0.9×	100 0.6×	65 0.8×	37 0.5×	43 0.6×	9	562
Julie-Anne Lake Australia	7	453 0.9×	46 0.3×	43 0.5×	68 0.9×	97 1.3×	8	541
Daniel Spindlow United Kingdom	5	583 1.1×	58 0.4×	97 1.2×	82 1.1×	61 0.8×	6	646
José‐Eduardo Gomes France	13	363 0.7×	49 0.3×	85 1.0×	23 0.3×	18 0.2×	17	534

Countries citing papers authored by Suying Cao

Since Specialization

Citations

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

Fields of papers citing papers by Suying Cao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suying Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Suying Cao. A scholar is included among the top collaborators of Suying 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 Suying Cao. Suying Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Liu, Mengxin, Xinze Chen, Jie Gao, et al.. (2025). LncRNA XLOC-040580 targeted by TPRA1 coordinate zygotic genome activation during porcine embryonic development. Cell Transplantation. 34. 4251390383–4251390383.

Gao, Dengfeng, Yingjie Wang, Minglei Zhi, et al.. (2023). Generation of three-dimensional meat-like tissue from stable pig epiblast stem cells. Nature Communications. 14(1). 8163–8163. 32 indexed citations

Zhu, Qianqian, Dengfeng Gao, Jie Gao, et al.. (2023). Generation of stable integration‐free pig induced pluripotent stem cells under chemically defined culture condition. Cell Proliferation. 56(11). e13487–e13487. 8 indexed citations

Zhang, Jinying, Minglei Zhi, Dengfeng Gao, et al.. (2022). Research progress and application prospects of stable porcine pluripotent stem cells. Biology of Reproduction. 107(1). 226–236. 7 indexed citations

Huang, Xiaomeng, Chao Zhang, Suying Cao, et al.. (2021). Berberine regulates lipid metabolism via miR‐192 in porcine oocytes matured in vitro. Veterinary Medicine and Science. 7(3). 950–959. 7 indexed citations

Yue, Liang, Yangli Pei, Liang Zhong, et al.. (2020). Mthfd2 Modulates Mitochondrial Function and DNA Repair to Maintain the Pluripotency of Mouse Stem Cells. Stem Cell Reports. 15(2). 529–545. 32 indexed citations

Shi, Bingbo, Dengfeng Gao, Liang Zhong, et al.. (2020). IRF-1 expressed in the inner cell mass of the porcine early blastocyst enhances the pluripotency of induced pluripotent stem cells. Stem Cell Research & Therapy. 11(1). 505–505. 11 indexed citations

Zhong, Liang, Bingqiang Wen, Wei Zhang, et al.. (2018). Long non-coding RNAs involved in the regulatory network during porcine pre-implantation embryonic development and iPSC induction. Scientific Reports. 8(1). 6649–6649. 13 indexed citations

Wei, Qingqing, Liang Zhong, Shaopeng Zhang, et al.. (2018). Lineage specification revealed by single-cell gene expression analysis in porcine preimplantation embryos†. Biology of Reproduction. 99(2). 283–292. 20 indexed citations

10.

Zhang, Wei, Hanning Wang, Shaopeng Zhang, et al.. (2018). Lipid Supplement in the Cultural Condition Facilitates the Porcine iPSC Derivation through cAMP/PKA/CREB Signal Pathway. International Journal of Molecular Sciences. 19(2). 509–509. 15 indexed citations

11.

Xiang, Jinzhu, Suying Cao, Liang Zhong, et al.. (2017). Pluripotent stem cells secrete Activin A to improve their epiblast competency after injection into recipient embryos. Protein & Cell. 9(8). 717–728. 9 indexed citations

12.

Zhang, Wei, Yangli Pei, Liang Zhong, et al.. (2015). Pluripotent and Metabolic Features of Two Types of Porcine iPSCs Derived from Defined Mouse and Human ES Cell Culture Conditions. PLoS ONE. 10(4). e0124562–e0124562. 31 indexed citations

13.

Cao, Suying, Jun Wu, Qiuyan Li, et al.. (2014). Specific gene-regulation networks during the pre-implantation development of the pig embryo as revealed by deep sequencing. BMC Genomics. 15(1). 4–4. 118 indexed citations

14.

Sun, Fei, Peng Liu, Jian Ye, et al.. (2012). An approach for jatropha improvement using pleiotropic QTLs regulating plant growth and seed yield. Biotechnology for Biofuels. 5(1). 42–42. 28 indexed citations

15.

Cao, Suying, Kyle M. Loh, Yangli Pei, Wei Zhang, & Jianyong Han. (2012). Overcoming barriers to the clinical utilization of iPSCs: reprogramming efficiency, safety and quality. Protein & Cell. 3(11). 834–845. 16 indexed citations

16.

Wang, Chunming, Peng Liu, Keyu Gu, et al.. (2011). A First Generation Microsatellite- and SNP-Based Linkage Map of Jatropha. PLoS ONE. 6(8). e23632–e23632. 56 indexed citations

17.

Ruan, Weimin, Jianyong Han, Pin Li, et al.. (2011). A novel strategy to derive iPS cells from porcine fibroblasts. Science China Life Sciences. 54(6). 553–559. 27 indexed citations

18.

Han, Jianyong, Ping Yuan, Henry Yang, et al.. (2010). Tbx3 improves the germ-line competency of induced pluripotent stem cells. Nature. 463(7284). 1096–1100. 226 indexed citations

19.

Han, Jianyong, Suying Cao, Hong Jin, et al.. (2006). Localization of putative stem cells and four cell populations with different differentiation degree in mouse mammary anlagen. Histochemistry and Cell Biology. 126(1). 35–43. 7 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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