Xue‐Ping Li

1000 total citations
47 papers, 752 citations indexed

About

Xue‐Ping Li is a scholar working on Renewable Energy, Sustainability and the Environment, Immunology and Molecular Biology. According to data from OpenAlex, Xue‐Ping Li has authored 47 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Renewable Energy, Sustainability and the Environment, 13 papers in Immunology and 12 papers in Molecular Biology. Recurrent topics in Xue‐Ping Li's work include TiO2 Photocatalysis and Solar Cells (16 papers), Advanced Photocatalysis Techniques (14 papers) and Acute Myeloid Leukemia Research (9 papers). Xue‐Ping Li is often cited by papers focused on TiO2 Photocatalysis and Solar Cells (16 papers), Advanced Photocatalysis Techniques (14 papers) and Acute Myeloid Leukemia Research (9 papers). Xue‐Ping Li collaborates with scholars based in China, India and Canada. Xue‐Ping Li's co-authors include Yuan Lin, Xurui Xiao, Xiaowen Zhou, Jingbo Zhang, Shibi Fang, Weiwei Tan, Junjie Kang, Lu Jiang, Guiqiang Wang and Xiong Yin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Xue‐Ping Li

43 papers receiving 738 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xue‐Ping Li China 14 394 266 156 124 121 47 752
Hongli Liu China 15 804 2.0× 202 0.8× 610 3.9× 14 0.1× 69 0.6× 39 1.1k
Zhuoyi Hu China 11 346 0.9× 132 0.5× 305 2.0× 19 0.2× 72 0.6× 20 661
Shuang Fu China 9 69 0.2× 198 0.7× 33 0.2× 33 0.3× 91 0.8× 22 492
Gan Jin China 21 160 0.4× 546 2.1× 512 3.3× 113 0.9× 98 0.8× 56 904
Fangjun Wu China 9 461 1.2× 370 1.4× 219 1.4× 21 0.2× 105 0.9× 14 685
Mengying Wang China 17 91 0.2× 138 0.5× 167 1.1× 33 0.3× 530 4.4× 51 863
Xiaofang Li China 10 413 1.0× 242 0.9× 124 0.8× 14 0.1× 118 1.0× 18 709
Liping Shen China 14 166 0.4× 116 0.4× 101 0.6× 16 0.1× 137 1.1× 33 458
Nitin Yadav India 15 69 0.2× 140 0.5× 54 0.3× 38 0.3× 389 3.2× 34 816
Mingyi Yang China 13 497 1.3× 592 2.2× 107 0.7× 22 0.2× 115 1.0× 32 905

Countries citing papers authored by Xue‐Ping Li

Since Specialization
Citations

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

Fields of papers citing papers by Xue‐Ping Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xue‐Ping Li. 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 Xue‐Ping Li. The network helps show where Xue‐Ping Li may publish in the future.

Co-authorship network of co-authors of Xue‐Ping Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xue‐Ping Li. A scholar is included among the top collaborators of Xue‐Ping Li 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 Xue‐Ping Li. Xue‐Ping Li 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.
Li, Xue‐Ping, et al.. (2025). A multi-omic single-cell landscape reveals transcription and epigenetic regulatory features of t(8;21) AML. Journal of Translational Medicine. 23(1). 816–816.
2.
Wang, Peipei, Qing Zhang, Shanshan Peng, et al.. (2025). Constituents-composed Chinese medicine of Dajianzhong Decoction ameliorates Non-alcoholic fatty liver disease via AMPK/PPARα/CPT1 signaling. Phytomedicine. 149. 157515–157515.
3.
Li, Xue‐Ping, et al.. (2024). Integrative single-cell analysis of longitudinal t(8;21) AML reveals heterogeneous immune cell infiltration and prognostic signatures. Frontiers in Immunology. 15. 1424933–1424933. 2 indexed citations
4.
Zhang, Meiqi, Zhongyu Han, Zi‐Bing Jin, et al.. (2024). Understanding the relationship between HCV infection and progression of kidney disease. Frontiers in Microbiology. 15. 1418301–1418301. 1 indexed citations
5.
6.
Wei, Jiang, Xiang Luo, Xue‐Ping Li, Junqiang Li, & Yanling Liang. (2024). Case report: Primary breast osteosarcoma: a case study and literature review. Frontiers in Oncology. 14. 1433581–1433581.
7.
8.
Li, Ruolan, Ling‐Yu Wang, Huxinyue Duan, et al.. (2023). Natural flavonoids derived from herbal medicines are potential anti-atherogenic agents by inhibiting oxidative stress in endothelial cells. Frontiers in Pharmacology. 14. 1141180–1141180. 10 indexed citations
9.
Li, Xue‐Ping, Yuting Dai, Weina Zhang, et al.. (2023). Single-cell RNA-seq reveals novel immune-associated biomarkers for predicting prognosis in AML patients with RUNX1::RUNX1T1. International Immunopharmacology. 125(Pt B). 111178–111178. 1 indexed citations
10.
Bai, Kunhao, et al.. (2022). Comprehensive analysis of tumor necrosis factor-α-inducible protein 8-like 2 (TIPE2): A potential novel pan-cancer immune checkpoint. Computational and Structural Biotechnology Journal. 20. 5226–5234. 15 indexed citations
11.
Li, Xue‐Ping, et al.. (2022). Integration of CD34+CD117dim population signature improves the prognosis prediction of acute myeloid leukemia. Journal of Translational Medicine. 20(1). 359–359. 5 indexed citations
12.
Gao, Yan, et al.. (2022). Identification of the Thyrotropin-Releasing Hormone (TRH) as a Novel Biomarker in the Prognosis for Acute Myeloid Leukemia. Biomolecules. 12(10). 1359–1359. 7 indexed citations
13.
Gao, Yan, et al.. (2022). Comprehensive Analysis of CRIP1 Expression in Acute Myeloid Leukemia. Frontiers in Genetics. 13. 923568–923568. 6 indexed citations
14.
Li, Xue‐Ping, et al.. (2021). SARS‐CoV‐2‐related IFITM3 in immune dysfunction and tumor microenvironment: An integrative analysis in pan‐cancers. SHILAP Revista de lepidopterología. 11(2). e345–e345. 2 indexed citations
15.
Li, Xue‐Ping, Yuting Dai, Bing Chen, et al.. (2021). Clinical significance of CD34+CD117dim/CD34+CD117bri myeloblast-associated gene expression in t(8;21) acute myeloid leukemia. Frontiers of Medicine. 15(4). 608–620. 12 indexed citations
16.
Fu, Yongfeng, Yue Guan, Meng Feng, et al.. (2017). Evaluation of a Major Surface Antigen of Babesia microti Merozoites as a Vaccine Candidate against Babesia Infection. Frontiers in Microbiology. 8. 2545–2545. 20 indexed citations
17.
Li, Gang, Xiaoying Liu, Xue‐Ping Li, & Zhenying Wang. (2010). Cloning of a TCTP gene in wheat and its expression induced by Erysiphe graminis.. Zhiwu yanjiu. 30(4). 441–447. 8 indexed citations
18.
Wang, Daxin, Jun Yang, Wenyan Liu, et al.. (2009). Arginine vasopressin induces rat caudate nucleus releasing acetylcholine to participate in pain modulation. Peptides. 31(4). 701–705. 9 indexed citations
19.
Tan, Weiwei, Xiaowen Zhou, Jingbo Zhang, et al.. (2008). Preparation of nanocrystalline TiO2 thin film at low temperature and its application in dye-sensitized solar cell. Journal of Solid State Electrochemistry. 13(5). 651–656. 42 indexed citations
20.
Kang, Junjie, et al.. (2004). Synthesis and ionic conductivity of a polysiloxane containing quaternary ammonium groups. Polymers for Advanced Technologies. 15(1-2). 61–64. 71 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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