Xiaoping Li

4.2k total citations · 1 hit paper
155 papers, 2.8k citations indexed

About

Xiaoping Li is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Xiaoping Li has authored 155 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 38 papers in Oncology and 26 papers in Cancer Research. Recurrent topics in Xiaoping Li's work include Cancer-related molecular mechanisms research (12 papers), RNA modifications and cancer (11 papers) and MicroRNA in disease regulation (8 papers). Xiaoping Li is often cited by papers focused on Cancer-related molecular mechanisms research (12 papers), RNA modifications and cancer (11 papers) and MicroRNA in disease regulation (8 papers). Xiaoping Li collaborates with scholars based in China, United States and Macao. Xiaoping Li's co-authors include Jia‐Da Li, Frank Chen, Jiaming Zhang, Ezequiel Neimark, Benjamin L. Shneider, Xi Zhang, Ruihao Huang, Jiang F. Zhong, Cheng Zhang and Li Gao and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Xiaoping Li

140 papers receiving 2.8k citations

Hit Papers

Recent advances in CAR-T cell engineering 2020 2026 2022 2024 2020 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Recent advances in CAR-T cell engineering
    2020 274 citations Xiaoping Li et al. profile →

Peers

Xiaoping Li
Sabine Hombach‐Klonisch Canada
Min Fang United States
Yulin Liu China
Cheryl L. Thompson United States
Jun Wu China
Mario Capasso Italy
Carl Virtanen Canada
Christopher R. Cogle United States
Min Kim South Korea
Anja van de Stolpe Netherlands
Sabine Hombach‐Klonisch Canada
Xiaoping Li
Citations per year, relative to Xiaoping Li Xiaoping Li (= 1×) peers Sabine Hombach‐Klonisch

Countries citing papers authored by Xiaoping Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoping Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoping Li. A scholar is included among the top collaborators of Xiaoping 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 Xiaoping Li. Xiaoping 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, Xiaoping, Hao Xu, Jingya Yu, et al.. (2025). Comparative and phylogenetic analysis of Potentilla and Dasiphora (Rosaceae) based on plastid genome. BMC Plant Biology. 25(1). 176–176. 3 indexed citations
2.
Zhang, Xiaoyun, Yuqing Li, Jiaofeng Gui, et al.. (2024). Obesity- and lipid-related indices as a predictor of type 2 diabetes in a national cohort study. Frontiers in Endocrinology. 14. 1331739–1331739. 20 indexed citations
3.
Chen, Fei, Jian Rong Sheng, Xiaoping Li, et al.. (2024). Tumor-associated macrophages: orchestrators of cholangiocarcinoma progression. Frontiers in Immunology. 15. 1451474–1451474.
4.
5.
Wang, Huiqi, et al.. (2024). Role of legumain in metabolic dysfunction, diagnosis, and prognosis of patients with atherosclerosis. Medicine. 103(29). e38896–e38896.
6.
Wang, Hongtao, Kun Han, Zhenshuang Tang, et al.. (2024). A genome‐wide association study reveals candidate genes and regulatory regions associated with birth weight in pigs. Animal Genetics. 55(5). 761–765. 1 indexed citations
7.
Li, Xiaoping, et al.. (2023). Advances in the application of CRISPR-Cas technology in rapid detection of pathogen nucleic acid. Frontiers in Molecular Biosciences. 10. 1260883–1260883. 11 indexed citations
8.
Li, Yuqing, Jiaofeng Gui, Haiyang Liu, et al.. (2023). Predicting metabolic syndrome by obesity- and lipid-related indices in mid-aged and elderly Chinese: a population-based cross-sectional study. Frontiers in Endocrinology. 14. 1201132–1201132. 49 indexed citations
9.
Huang, Hui, et al.. (2022). A multi-omics signature to predict the prognosis of invasive ductal carcinoma of the breast. Computers in Biology and Medicine. 151(Pt A). 106291–106291. 6 indexed citations
10.
Kulczyk, Arkadiusz W., Carlos Óscar S. Sorzano, Przemysław Grela, et al.. (2022). Cryo-EM structure of Shiga toxin 2 in complex with the native ribosomal P-stalk reveals residues involved in the binding interaction. Journal of Biological Chemistry. 299(1). 102795–102795. 12 indexed citations
11.
Yang, Yi, Xiangjin Kang, Shiqi Hu, et al.. (2021). CRISPR/Cas9-mediated β-globin gene knockout in rabbits recapitulates human β-thalassemia. Journal of Biological Chemistry. 296. 100464–100464. 9 indexed citations
12.
Li, Mingzhu, Yun Zhao, Yu‐Ligh Liou, et al.. (2019). Neoadjuvant chemotherapy for locally invasive cervical cancer in pregnancy: two case reports. Translational Cancer Research. 8(4). 1641–1646.
13.
Tian, Yao, Lijun Zhao, Jingyi Zhou, et al.. (2019). Identification of new fusion genes and their clinical significance in endometrial cancer. Chinese Medical Journal. 132(11). 1314–1321. 6 indexed citations
14.
Song, Lei, Liping Peng, Shucheng Hua, et al.. (2018). miR-144-5p Enhances the Radiosensitivity of Non-Small-Cell Lung Cancer Cells via Targeting ATF2. BioMed Research International. 2018. 1–10. 62 indexed citations
15.
Song, Min Kyung, et al.. (2015). Targeting Human Poly(ADP‐Ribose) Polymerase‐1 with Natural Medicines and Its Potential Applications in Ovarian Cancer Therapeutics. Archiv der Pharmazie. 348(11). 817–823. 6 indexed citations
16.
Chen, Yonghua, et al.. (2013). [Relationship between the expression of dual specificity phosphatase-1 and the prognosis of endometrioid adenocarcinoma].. PubMed. 93(31). 2493–5. 3 indexed citations
17.
Li, Xiaoping. (2012). Mechanism of Excess Capacity Based on China's Regional Competition and Market Distortion. China Industrial Economy. 28 indexed citations
18.
Li, Xiaoping. (2010). Direct Market Intervention and Restrict Competition: The Orientation of China’s Industrial Policy and Its Fundamental Defects. China Industrial Economy. 12 indexed citations
19.
Tang, Zhonglin, Yong Li, Ping Wan, et al.. (2007). LongSAGE analysis of skeletal muscle at three prenatal stages in Tongcheng and Landrace pigs. Genome biology. 8(6). R115–R115. 114 indexed citations
20.
Gündeş, Sibel, et al.. (2002). Detection of Human Cytomegalovirus Gene in Formalin-Fixed Paraffin-Embedded Fetal Tissues. DergiPark (Istanbul University). 1 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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