Xiaoyan Lu

4.5k total citations · 3 hit papers
88 papers, 3.0k citations indexed

About

Xiaoyan Lu is a scholar working on Molecular Biology, Complementary and alternative medicine and Cancer Research. According to data from OpenAlex, Xiaoyan Lu has authored 88 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 14 papers in Complementary and alternative medicine and 13 papers in Cancer Research. Recurrent topics in Xiaoyan Lu's work include Single-cell and spatial transcriptomics (16 papers), Ginseng Biological Effects and Applications (9 papers) and Traditional Chinese Medicine Analysis (9 papers). Xiaoyan Lu is often cited by papers focused on Single-cell and spatial transcriptomics (16 papers), Ginseng Biological Effects and Applications (9 papers) and Traditional Chinese Medicine Analysis (9 papers). Xiaoyan Lu collaborates with scholars based in China, South Korea and Australia. Xiaoyan Lu's co-authors include Xiaohui Fan, Jie Liao, Xin Shao, Hanbing Liu, Yang Hu, Junyun Cheng, Penghui Yang, Huajun Chen, Chengyu Li and Tingting Jin and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Xiaoyan Lu

86 papers receiving 2.9k citations

Hit Papers

Chemical constituents of Panax ginseng and Panax notogins... 2020 2026 2022 2024 2020 2023 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoyan Lu China 27 1.8k 441 413 301 284 88 3.0k
Junseong Park South Korea 30 1.3k 0.7× 265 0.6× 568 1.4× 91 0.3× 159 0.6× 136 2.9k
Tao Su China 35 1.7k 0.9× 359 0.8× 441 1.1× 201 0.7× 236 0.8× 125 3.6k
Kang‐Beom Kwon South Korea 31 1.3k 0.7× 326 0.7× 286 0.7× 202 0.7× 245 0.9× 100 3.1k
Ke‐Wu Zeng China 29 1.6k 0.9× 202 0.5× 359 0.9× 225 0.7× 200 0.7× 133 2.8k
Hui Luo China 29 1.2k 0.7× 263 0.6× 608 1.5× 106 0.4× 199 0.7× 126 2.8k
Sonsoles Hortelano Spain 33 1.7k 0.9× 817 1.9× 479 1.2× 151 0.5× 201 0.7× 79 3.6k
Zhen‐Guo Ma China 36 1.9k 1.0× 337 0.8× 547 1.3× 129 0.4× 116 0.4× 66 3.9k
Hua Li China 28 963 0.5× 224 0.5× 284 0.7× 242 0.8× 194 0.7× 78 2.2k
Shiliang Li China 27 1.3k 0.7× 158 0.4× 269 0.7× 200 0.7× 286 1.0× 126 2.8k
Xiu Chen China 29 1.8k 1.0× 174 0.4× 906 2.2× 183 0.6× 174 0.6× 117 2.5k

Countries citing papers authored by Xiaoyan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyan Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyan Lu. A scholar is included among the top collaborators of Xiaoyan Lu 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 Xiaoyan Lu. Xiaoyan Lu 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.
4.
Lu, Xiaoyan, Junying Li, Wentao Zhang, et al.. (2024). miR‐106b‐5p protects against drug‐induced liver injury by targeting vimentin to stimulate liver regeneration. SHILAP Revista de lepidopterología. 5(9). e692–e692.
5.
Zhang, Fujun, Zhao‐Yang Li, Tingting Zhang, et al.. (2024). Identification of Hsp20 gene family in Malus domestica and functional characterization of Hsp20 class I gene MdHsp18.2b. Physiologia Plantarum. 176(2). 4 indexed citations
6.
Zhang, Tingting, Yujing Lin, Xiaoyan Lu, et al.. (2024). The AP2/ERF transcription factor MdDREB2A regulates nitrogen utilisation and sucrose transport under drought stress. Plant Cell & Environment. 47(5). 1668–1684. 36 indexed citations
7.
Zhang, Zhenlu, Zhao‐Yang Li, Fujun Zhang, et al.. (2024). A viroid‐derived small interfering RNA targets bHLH transcription factor MdPIF1 to regulate anthocyanin biosynthesis in Malus domestica. Plant Cell & Environment. 47(12). 4664–4682. 8 indexed citations
8.
Yan, Jun, et al.. (2023). Single-cell RNA sequencing reveals the dynamics of hepatic non-parenchymal cells in autoprotection against acetaminophen-induced hepatotoxicity. Journal of Pharmaceutical Analysis. 13(8). 926–941. 6 indexed citations
9.
Huang, Ting, Ruyi Lin, Xiaoyan Lu, et al.. (2023). Efficient intervention for pulmonary fibrosis via mitochondrial transfer promoted by mitochondrial biogenesis. Nature Communications. 14(1). 5781–5781. 61 indexed citations
10.
Chen, Daoyuan, et al.. (2023). Nanoparticle drug delivery systems for synergistic delivery of tumor therapy. Frontiers in Pharmacology. 14. 1111991–1111991. 70 indexed citations
11.
Liao, Jie, Jingyang Qian, Fang Yin, et al.. (2022). De novo analysis of bulk RNA-seq data at spatially resolved single-cell resolution. Nature Communications. 13(1). 6498–6498. 48 indexed citations
12.
Cheng, Junyun, Yunzhu Wang, Wenbo Guo, et al.. (2022). Massively Parallel CRISPR‐Based Genetic Perturbation Screening at Single‐Cell Resolution. Advanced Science. 10(4). e2204484–e2204484. 21 indexed citations
13.
Shao, Xin, Haihong Yang, Xiang Zhuang, et al.. (2021). scDeepSort: a pre-trained cell-type annotation method for single-cell transcriptomics using deep learning with a weighted graph neural network. Nucleic Acids Research. 49(21). e122–e122. 97 indexed citations
14.
Liu, Hanbing, Xiaoyan Lu, Yang Hu, & Xiaohui Fan. (2020). Chemical constituents of Panax ginseng and Panax notoginseng explain why they differ in therapeutic efficacy. Pharmacological Research. 161. 105263–105263. 272 indexed citations breakdown →
15.
Li, Yunying, et al.. (2019). Potential hepatic and renal toxicity induced by the biflavonoids from Ginkgo biloba. Chinese Journal of Natural Medicines. 17(9). 672–681. 32 indexed citations
16.
Zheng, Jie, et al.. (2018). Circulating exosomal microRNAs reveal the mechanism of Fructus Meliae Toosendan-induced liver injury in mice. Scientific Reports. 8(1). 2832–2832. 23 indexed citations
17.
Lu, Xiaoyan, et al.. (2016). Comparison of the chemical consituents and immunomodulatory activity of ophiopogonis radix from two different producing areas. Journal of Pharmaceutical and Biomedical Analysis. 134. 60–70. 23 indexed citations
18.
Lu, Xiaoyan, et al.. (2015). The effects of size and surface modification of amorphous silica particles on biodistribution and liver metabolism in mice. Nanotechnology. 26(17). 175101–175101. 16 indexed citations
19.
Lu, Xiaoyan, Tingting Jin, Yachao Jin, et al.. (2012). Toxicogenomic analysis of the particle dose- and size-response relationship of silica particles-induced toxicity in mice. Nanotechnology. 24(1). 15106–15106. 22 indexed citations
20.
Wang, Yiguang, Ruiqi Wang, Xiaoyan Lu, et al.. (2009). Pegylated Phospholipids-Based Self-Assembly with Water-Soluble Drugs. Pharmaceutical Research. 27(2). 361–370. 57 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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