Ying Xia

1.3k total citations
40 papers, 903 citations indexed

About

Ying Xia is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Ying Xia has authored 40 papers receiving a total of 903 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 6 papers in Materials Chemistry. Recurrent topics in Ying Xia's work include Protein Structure and Dynamics (8 papers), Computational Drug Discovery Methods (7 papers) and Molecular Sensors and Ion Detection (4 papers). Ying Xia is often cited by papers focused on Protein Structure and Dynamics (8 papers), Computational Drug Discovery Methods (7 papers) and Molecular Sensors and Ion Detection (4 papers). Ying Xia collaborates with scholars based in China, United States and Canada. Ying Xia's co-authors include Hong‐Bin Shen, Xiaoyong Pan, Gu Ran, Chunqiu Xia, Xiangyu Cao, Jianli Liu, Xing Chen, Yin He, Deqiang Yao and Yu Cao and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Molecular Biology.

In The Last Decade

Ying Xia

37 papers receiving 897 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ying Xia China	19	430	127	102	102	96	40	903
A. I. Archakov Russia	19	473 1.1×	90 0.7×	90 0.9×	179 1.8×	30 0.3×	54	839
Meicun Yao China	23	639 1.5×	188 1.5×	43 0.4×	78 0.8×	77 0.8×	91	1.5k
Liang Wu China	23	761 1.8×	189 1.5×	84 0.8×	37 0.4×	135 1.4×	56	1.2k
Ryan Walsh Canada	20	514 1.2×	232 1.8×	243 2.4×	60 0.6×	42 0.4×	33	1.2k
Erdem Büyükbingöl Türkiye	14	266 0.6×	44 0.3×	67 0.7×	30 0.3×	27 0.3×	47	922
Marina Naldi Italy	24	606 1.4×	47 0.4×	228 2.2×	108 1.1×	70 0.7×	73	1.5k
B. Bhaskar India	21	531 1.2×	74 0.6×	53 0.5×	33 0.3×	92 1.0×	45	1.2k
Pierre Lafite France	21	850 2.0×	109 0.9×	42 0.4×	51 0.5×	61 0.6×	56	1.6k
Amit S. Pithadia United States	11	294 0.7×	22 0.2×	90 0.9×	129 1.3×	79 0.8×	11	674

Countries citing papers authored by Ying Xia

Since Specialization

Citations

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

Fields of papers citing papers by Ying Xia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Xia. A scholar is included among the top collaborators of Ying Xia 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 Ying Xia. Ying Xia 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

Wang, Yang, et al.. (2025). Long Noncoding RNA TOB1‐AS1 Represses Cervical Cancer Cell Proliferation, Invasion, and Migration via the MicroRNA‐27a‐3p/Thioredoxin‐Interacting Protein Molecular Axis. The Kaohsiung Journal of Medical Sciences. 41(11). e70076–e70076.

Yao, Deqiang, Bing Rao, Ying Xia, et al.. (2025). Cryo-EM structure of the human Derlin-1/p97 complex reveals a hexameric channel in ERAD. Communications Biology. 8(1). 1481–1481.

Xia, Ying, Xiaoyong Pan, & Hong‐Bin Shen. (2024). A comprehensive survey on protein-ligand binding site prediction. Current Opinion in Structural Biology. 86. 102793–102793. 17 indexed citations

Xia, Ying, Xiaoyong Pan, & Hong‐Bin Shen. (2024). Heterogeneous sampled subgraph neural networks with knowledge distillation to enhance double-blind compound-protein interaction prediction. Structure. 32(5). 611–620.e4. 1 indexed citations

Zhang, Qing, Yang Chen, Jintong Yang, et al.. (2024). Cryo-EM structure of human sphingomyelin synthase and its mechanistic implications for sphingomyelin synthesis. Nature Structural & Molecular Biology. 31(6). 884–895. 14 indexed citations

Rong, Kewei, Deqiang Yao, Xiankun Cao, et al.. (2023). The structural pathology for hypophosphatasia caused by malfunctional tissue non-specific alkaline phosphatase. Nature Communications. 14(1). 4048–4048. 27 indexed citations

Xia, Ying, et al.. (2023). ZeroBind: a protein-specific zero-shot predictor with subgraph matching for drug-target interactions. Nature Communications. 14(1). 7861–7861. 29 indexed citations

Yao, Deqiang, Bing Rao, Ying Xia, et al.. (2023). The structural basis of the pH-homeostasis mediated by the Cl−/HCO3− exchanger, AE2. Nature Communications. 14(1). 1812–1812. 14 indexed citations

Xia, Ying, Xiaoyong Pan, & Hong‐Bin Shen. (2023). LigBind: Identifying Binding Residues for Over 1000 Ligands with Relation-Aware Graph Neural Networks. Journal of Molecular Biology. 435(13). 168091–168091. 10 indexed citations

10.

Xia, Chunqiu, et al.. (2022). Leveraging scaffold information to predict protein–ligand binding affinity with an empirical graph neural network. Briefings in Bioinformatics. 24(1). 15 indexed citations

11.

Xia, Chunqiu, et al.. (2022). Fast protein structure comparison through effective representation learning with contrastive graph neural networks. PLoS Computational Biology. 18(3). e1009986–e1009986. 19 indexed citations

12.

Xia, Ying, Chunqiu Xia, Xiaoyong Pan, & Hong‐Bin Shen. (2021). GraphBind: protein structural context embedded rules learned by hierarchical graph neural networks for recognizing nucleic-acid-binding residues. Nucleic Acids Research. 49(9). e51–e51. 106 indexed citations

13.

Ran, Gu, et al.. (2021). Enhanced response of sensor on serotonin using nickel-reduced graphene oxide by atomic layer deposition. Bioelectrochemistry. 140. 107820–107820. 16 indexed citations

14.

Zhang, Qing, Deqiang Yao, Bing Rao, et al.. (2021). The structural basis for the phospholipid remodeling by lysophosphatidylcholine acyltransferase 3. Nature Communications. 12(1). 6869–6869. 64 indexed citations

15.

Cao, Xiangyu, Ying Xia, Dan Liu, et al.. (2020). Inhibitory effects of Lentinus edodes mycelia polysaccharide on α-glucosidase, glycation activity and high glucose-induced cell damage. Carbohydrate Polymers. 246. 116659–116659. 49 indexed citations

16.

Ran, Gu, et al.. (2020). An atomic-layer NiO-BaTiO ₃ nanocomposite for use in electrochemical sensing of serotonin. Nanotechnology. 31(50). 505502–505502. 1 indexed citations

17.

Cao, Xiangyu, Dan Liu, Ying Xia, et al.. (2019). A novel polysaccharide from Lentinus edodes mycelia protects MIN6 cells against high glucose-induced damage via the MAPKs and Nrf2 pathways. Food & Nutrition Research. 63(0). 24 indexed citations

18.

Yan, Liying, et al.. (2016). De novo transcriptome analysis of Fraxinus velutina using Illumina platform and development of EST-SSR markers. Biologia Plantarum. 61(2). 210–218. 13 indexed citations

19.

Shen, Fangrong, et al.. (2012). Osteopontin increases the expression of β1, 4-Galactosyltransferase-I and promotes adhesion in human RL95-2 cells. Glycoconjugate Journal. 29(5-6). 347–356. 7 indexed citations

20.

Lu, Chang, et al.. (2011). De novo characterization of Lycoris sprengeri transcriptome using Illumina GA II. AFRICAN JOURNAL OF BIOTECHNOLOGY. 10(57). 12147–12155. 13 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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