Ying Xia

15.2k total citations · 1 hit paper
337 papers, 11.4k citations indexed

About

Ying Xia is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Ying Xia has authored 337 papers receiving a total of 11.4k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Molecular Biology, 77 papers in Cellular and Molecular Neuroscience and 31 papers in Physiology. Recurrent topics in Ying Xia's work include Neuroscience and Neuropharmacology Research (48 papers), Ion channel regulation and function (24 papers) and Neuropeptides and Animal Physiology (21 papers). Ying Xia is often cited by papers focused on Neuroscience and Neuropharmacology Research (48 papers), Ion channel regulation and function (24 papers) and Neuropeptides and Animal Physiology (21 papers). Ying Xia collaborates with scholars based in China, United States and Canada. Ying Xia's co-authors include Gabriel G. Haddad, Nikolaos G. Frangogiannis, Dongman Chao, Peng Zhao, Yilin Yang, Junhui Zhang, Kenneth Banasiak, Marcin Dobaczewski, Carlos Gonzalez‐Quesada and Gabriel G. Haddad and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Ying Xia

315 papers receiving 11.2k citations

Hit Papers

Drug repurposing for cancer therapy 2024 2026 2025 2024 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Xia China 58 3.8k 2.1k 1.4k 1.1k 1.0k 337 11.4k
Francesco Moccia Italy 50 2.3k 0.6× 1.1k 0.6× 842 0.6× 449 0.4× 805 0.8× 250 8.2k
Lei Zhang China 51 6.6k 1.8× 683 0.3× 1.2k 0.9× 371 0.3× 688 0.7× 740 13.7k
Zhen Wang China 55 4.8k 1.3× 752 0.4× 836 0.6× 455 0.4× 1.3k 1.3× 391 11.3k
Xiaoyan Zhang China 57 5.6k 1.5× 743 0.4× 1.3k 0.9× 771 0.7× 1.2k 1.1× 534 14.6k
Andrew Green United Kingdom 47 3.5k 0.9× 1.6k 0.8× 469 0.3× 253 0.2× 951 0.9× 226 8.6k
Yanfeng Wang China 44 3.4k 0.9× 1.8k 0.9× 924 0.7× 300 0.3× 575 0.6× 294 10.6k
Xiaokun Li China 79 10.1k 2.7× 1.5k 0.7× 2.2k 1.6× 1.1k 1.1× 1.8k 1.7× 559 21.2k
Ge Li China 46 2.8k 0.7× 724 0.4× 692 0.5× 258 0.2× 1.2k 1.2× 317 7.9k
Nan Ma China 48 3.6k 1.0× 484 0.2× 2.0k 1.4× 735 0.7× 371 0.4× 409 9.8k
Yongqing Zhang China 58 5.5k 1.5× 1.2k 0.6× 289 0.2× 212 0.2× 960 0.9× 354 13.2k

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

20 of 20 papers shown
1.
Xia, Ying, Quan Zou, Leyi Wei, et al.. (2025). An interpretable geometric graph neural network for enhancing the generalizability of drug–target interaction prediction. BMC Biology. 23(1). 350–350. 1 indexed citations
2.
Xia, Ying, Huan Zhang, Yaxin Wang, Zeyang Liao, & Xiaoqi Zhou. (2025). Enhancing the super-resolution of incoherent sources via noiseless attenuation. Physics Letters A. 540. 130400–130400.
3.
Xia, Ying, et al.. (2025). A comprehensive review of deep learning-based approaches for drug–drug interaction prediction. Briefings in Functional Genomics. 24. 1 indexed citations
5.
Gao, Shun, Ying Xia, Xingfeng Li, et al.. (2025). ACP-ESM2: Enhancing Anticancer Peptide Prediction With Pre-Trained Protein Language Models. PubMed. 22(3). 1041–1051. 2 indexed citations
6.
Zhang, Zhiyong, Ying Xia, Nicole Avakyan, et al.. (2025). Design of light- and chemically responsive protein assemblies through host-guest interactions. Chem. 11(6). 102407–102407. 4 indexed citations
7.
Xia, Ying, et al.. (2024). How to effectively reduce sloping farmland nutrient loss and soil erosions in the Three Gorges Reservoir area. Agricultural Water Management. 304. 109084–109084. 8 indexed citations
8.
Wang, Chunhua, et al.. (2024). Clostridioides difficile infection in inflammatory bowel disease: a clinical review. Expert Review of Anti-infective Therapy. 22(5). 297–306. 5 indexed citations
9.
Xia, Ying, Haiyong Wang, Xiuzheng Zhuang, et al.. (2024). Holistic investigation of structural evolution in corn stover lignin under pretreatment with varying γ-valerolactone concentrations. Biomass and Bioenergy. 183. 107155–107155. 6 indexed citations
10.
Chen, Cao, Zhixiao Chen, Ying Xia, et al.. (2022). SARS‐CoV‐2 cold‐chain transmission: Characteristics, risks, and strategies. Journal of Medical Virology. 94(8). 3540–3547. 20 indexed citations
11.
Li, Guoli, Nicolás André, Ying Xia, et al.. (2020). Non-Linear Output-Conductance Function for Robust Analysis of Two-Dimensional Transistors. IEEE Electron Device Letters. 42(1). 94–97. 5 indexed citations
12.
Zhang, Ruitao, et al.. (2019). The Policy Analysis Matrix (PAM): Comparative Advantage of China’s Wheat Crop Production 2017. Journal of Agricultural Science. 11(17). 150–150. 5 indexed citations
13.
Sheng, Shiying, Feng Zhi, Xue Tian, et al.. (2018). Neuroprotection Against Hypoxic/Ischemic Injury: δ-Opioid Receptors and BDNF-TrkB Pathway. Cellular Physiology and Biochemistry. 47(1). 302–315. 39 indexed citations
14.
Yang, Hongwei, et al.. (2018). Mast Cells and Nerve Signal Conduction in Acupuncture. Evidence-based Complementary and Alternative Medicine. 2018(1). 3524279–3524279. 22 indexed citations
15.
Liang, Jianfeng, Dongman Chao, Harleen K. Sandhu, et al.. (2014). δ‐Opioid receptors up‐regulate excitatory amino acid transporters in mouse astrocytes. British Journal of Pharmacology. 171(23). 5417–5430. 27 indexed citations
16.
Kim, Ji Hye, Seok‐Ho Kim, Seung Yong Song, et al.. (2013). Hypoxia induces adipocyte differentiation of adipose‐derived stem cells by triggering reactive oxygen species generation. Cell Biology International. 38(1). 32–40. 50 indexed citations
17.
Fei, Zhou, Jingchun Guo, Jieshi Cheng, Gen-Cheng Wu, & Ying Xia. (2011). Electroacupuncture increased cerebral blood flow and reduced ischemic brain injury: dependence on stimulation intensity and frequency. Journal of Applied Physiology. 111(6). 1877–1887. 62 indexed citations
18.
Kim, Ji Hye, So-Hyun Park, Sang Gyu Park, et al.. (2011). The Pivotal Role of Reactive Oxygen Species Generation in the Hypoxia-Induced Stimulation of Adipose-Derived Stem Cells. Stem Cells and Development. 20(10). 1753–1761. 74 indexed citations
19.
Kim, Ji Hye, Seung Yong Song, Sang Gyu Park, et al.. (2011). Primary Involvement of NADPH Oxidase 4 in Hypoxia-Induced Generation of Reactive Oxygen Species in Adipose-Derived Stem Cells. Stem Cells and Development. 21(12). 2212–2221. 59 indexed citations
20.
Xia, Ying, et al.. (2000). Increased neuronal excitability after long-term O2 deprivation is mediated mainly by sodium channels. Molecular Brain Research. 76(2). 211–219. 30 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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