Xing‐Yuan Liu

1.1k total citations
35 papers, 798 citations indexed

About

Xing‐Yuan Liu is a scholar working on Molecular Biology, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xing‐Yuan Liu has authored 35 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 24 papers in Epidemiology and 17 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xing‐Yuan Liu's work include Congenital heart defects research (25 papers), Congenital Heart Disease Studies (24 papers) and Tracheal and airway disorders (11 papers). Xing‐Yuan Liu is often cited by papers focused on Congenital heart defects research (25 papers), Congenital Heart Disease Studies (24 papers) and Tracheal and airway disorders (11 papers). Xing‐Yuan Liu collaborates with scholars based in China, Macao and Canada. Xing‐Yuan Liu's co-authors include Yi‐Qing Yang, Ying‐Jia Xu, Ri‐Tai Huang, Xing‐Biao Qiu, Song Xue, Cuimei Zhao, Juan Wang, Ning Zhou, Fang Yuan and Yihan Chen and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and The American Journal of Cardiology.

In The Last Decade

Xing‐Yuan Liu

30 papers receiving 797 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xing‐Yuan Liu China	19	669	462	282	152	131	35	798
Sara C. Sebag United States	12	169 0.3×	111 0.2×	109 0.4×	26 0.2×	15 0.1×	15	453
Ghada Mkannez Tunisia	10	146 0.2×	98 0.2×	60 0.2×	113 0.7×	19 0.1×	21	448
Shalong Wang China	9	405 0.6×	46 0.1×	57 0.2×	18 0.1×	53 0.4×	12	543
Wang Wl China	11	217 0.3×	103 0.2×	36 0.1×	35 0.2×	33 0.3×	44	475
Shigeki Masuda Japan	10	161 0.2×	232 0.5×	39 0.1×	129 0.8×	23 0.2×	12	477
Mingyue Rao China	11	223 0.3×	41 0.1×	51 0.2×	31 0.2×	46 0.4×	18	400
Su Suriguga Netherlands	8	154 0.2×	188 0.4×	31 0.1×	19 0.1×	15 0.1×	13	452
Yingping Tian China	9	193 0.3×	56 0.1×	173 0.6×	22 0.1×	12 0.1×	49	417
M Granzow Germany	12	182 0.3×	442 1.0×	25 0.1×	38 0.3×	38 0.3×	13	760

Countries citing papers authored by Xing‐Yuan Liu

Since Specialization

Citations

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

Fields of papers citing papers by Xing‐Yuan Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xing‐Yuan Liu. 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 Xing‐Yuan Liu. The network helps show where Xing‐Yuan Liu may publish in the future.

Co-authorship network of co-authors of Xing‐Yuan Liu

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

All Works

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20 of 20 papers shown

Li, Ao, Lingyun Hu, Can Wang, et al.. (2025). Artificial Intelligence-Driven de Novo Design of Robust Enzymes to Enhance Their Performance. ACS Synthetic Biology. 14(11). 4178–4201.

Liu, Xing‐Yuan, et al.. (2025). Development and internal validation of a mammography-based model fusing clinical, radiomics, and deep learning models for sentinel lymph node metastasis prediction in breast cancer. Frontiers in Medicine. 12. 1659422–1659422.

Ruan, Ye Chun, Xing‐Yuan Liu, Yun Jin, et al.. (2025). Personalized predictions of neoadjuvant chemotherapy response in breast cancer using machine learning and full-field digital mammography radiomics. Frontiers in Medicine. 12. 1582560–1582560.

Li, Ao, Jiawei Tang, Xiaodan Song, et al.. (2025). Innovative enrichment of starch-derived oligosaccharide in beer mediated by in-process conversion of Aspergillus niger transglycosidase. International Journal of Biological Macromolecules. 333(Pt 2). 149024–149024.

Liang, Xiaoting, Jieyu Liu, Xing‐Yuan Liu, et al.. (2023). LINP1 represses unfolded protein response by directly inhibiting eIF2α phosphorylation to promote cutaneous squamous cell carcinoma. Experimental Hematology and Oncology. 12(1). 31–31. 7 indexed citations

Sun, Shihui, Kui Zhao, Huijun Lu, et al.. (2022). Establishment of a sheep immortalization cell line for generating and amplifying Orf virus recombinants. Frontiers in Veterinary Science. 9. 1062908–1062908. 1 indexed citations

Xu, Ying‐Jia, Ruo‐Min Di, Xiumei Li, et al.. (2018). GATA6 loss-of-function mutation contributes to congenital bicuspid aortic valve. Gene. 663. 115–120. 36 indexed citations

Sun, Hui, Le Yang, Heng Fang, et al.. (2018). UPLC-G2Si-HDMS untargeted metabolomics for identification of metabolic targets of Yin-Chen-Hao-Tang used as a therapeutic agent of dampness-heat jaundice syndrome. Journal of Chromatography B. 1081-1082. 41–50. 36 indexed citations

Qiao, Xiao-Hui, Fei Wang, Ri‐Tai Huang, et al.. (2017). MEF2C loss-of-function mutation contributes to congenital heart defects. International Journal of Medical Sciences. 14(11). 1143–1153. 31 indexed citations

10.

Li, Ruo-Gu, Ying‐Jia Xu, Juan Wang, et al.. (2017). GATA4 Loss-of-Function Mutation and the Congenitally Bicuspid Aortic Valve. The American Journal of Cardiology. 121(4). 469–474. 41 indexed citations

11.

Zhang, Min, Xing‐Yuan Liu, Jingyi Hou, et al.. (2017). TBX1 loss‑of‑function mutation contributes to congenital conotruncal defects. Experimental and Therapeutic Medicine. 15(1). 447–453. 18 indexed citations

12.

Zhang, Min, Xing‐Yuan Liu, Ri‐Tai Huang, et al.. (2017). MESP1 loss-of-function mutation contributes to double outlet right ventricle. Molecular Medicine Reports. 16(3). 2747–2754. 10 indexed citations

13.

Liu, Xing‐Yuan, Hong Zhao, Ning Zhou, et al.. (2015). A Novel TBX1 Loss-of-Function Mutation Associated with Congenital Heart Disease. Pediatric Cardiology. 36(7). 1400–1410. 29 indexed citations

14.

Lü, Caixia, Xing‐Yuan Liu, Juan Wang, et al.. (2015). A novel HAND2 loss-of-function mutation responsible for tetralogy of Fallot. International Journal of Molecular Medicine. 37(2). 445–451. 44 indexed citations

15.

Zhao, Lan, Xing‐Yuan Liu, Dong‐Qing Wei, et al.. (2014). Prevalence and spectrum of Nkx2.6 mutations in patients with congenital heart disease. European Journal of Medical Genetics. 57(10). 579–586. 22 indexed citations

16.

Qu, Xinkai, Xing‐Biao Qiu, Fang Yuan, et al.. (2014). A Novel NKX2.5 Loss-of-Function Mutation Associated With Congenital Bicuspid Aortic Valve. The American Journal of Cardiology. 114(12). 1891–1895. 66 indexed citations

17.

Wei, Dong‐Qing, Han Bao, Xing‐Yuan Liu, et al.. (2013). GATA5 loss-of-Function Mutations Underlie Tetralogy of Fallot. International Journal of Medical Sciences. 10(1). 34–42. 43 indexed citations

18.

Liu, Xing‐Yuan. (2010). Novel GATA4 mutations in patients with congenital ventricular septal defects. Zhonghua jianyan yixue zazhi. 33(4). 343–347. 1 indexed citations

19.

Liu, Xing‐Yuan, Juan Wang, Yi‐Qing Yang, et al.. (2010). Novel NKX2-5 Mutations in Patients With Familial Atrial Septal Defects. Pediatric Cardiology. 32(2). 193–201. 23 indexed citations

20.

Liu, Xing‐Yuan, Yi‐Qing Yang, Ying Yang, Xiaoping Lin, & Yihan Chen. (2009). [Novel NKX2-5 mutations identified in patients with congenital ventricular septal defects].. PubMed. 89(34). 2395–9. 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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