Shengli Li

4.4k total citations · 1 hit paper
128 papers, 2.9k citations indexed

About

Shengli Li is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Shengli Li has authored 128 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 46 papers in Cancer Research and 22 papers in Surgery. Recurrent topics in Shengli Li's work include Cancer-related molecular mechanisms research (29 papers), RNA modifications and cancer (24 papers) and RNA Research and Splicing (19 papers). Shengli Li is often cited by papers focused on Cancer-related molecular mechanisms research (29 papers), RNA modifications and cancer (24 papers) and RNA Research and Splicing (19 papers). Shengli Li collaborates with scholars based in China, United States and Canada. Shengli Li's co-authors include Xianghuo He, Shenglin Huang, Yingjun Zhao, Zhixiang Hu, Leng Han, Jiwei Zhang, Zhe Li, Yuchen Li, Bing Chen and Qiupeng Zheng and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Shengli Li

122 papers receiving 2.9k citations

Hit Papers

exoRBase: a database of c... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shengli Li China 28 2.1k 1.5k 321 254 203 128 2.9k
Yitian Chen China 21 2.2k 1.1× 1.8k 1.2× 442 1.4× 239 0.9× 243 1.2× 62 3.1k
Xiaoyi Huang China 25 2.0k 1.0× 1.5k 1.0× 277 0.9× 317 1.2× 216 1.1× 108 2.9k
Xiaohui Xu China 29 1.5k 0.7× 1.0k 0.7× 366 1.1× 232 0.9× 217 1.1× 112 2.6k
Bing Chen China 27 2.0k 1.0× 1.2k 0.8× 470 1.5× 375 1.5× 231 1.1× 151 3.1k
Yu Xiang China 27 2.0k 0.9× 1.1k 0.8× 263 0.8× 419 1.6× 153 0.8× 75 2.9k
Zhen Wang China 28 1.6k 0.7× 1.3k 0.9× 406 1.3× 346 1.4× 193 1.0× 138 2.6k
Gieri Camenisch Switzerland 26 1.9k 0.9× 1.9k 1.3× 329 1.0× 302 1.2× 242 1.2× 39 3.5k
Dejia Li China 31 2.3k 1.1× 1.4k 1.0× 179 0.6× 114 0.4× 174 0.9× 65 3.0k
Yanli Wang China 27 1.7k 0.8× 1.0k 0.7× 188 0.6× 165 0.6× 122 0.6× 74 2.3k

Countries citing papers authored by Shengli Li

Since Specialization
Citations

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

Fields of papers citing papers by Shengli Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengli Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shengli Li. A scholar is included among the top collaborators of Shengli 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 Shengli Li. Shengli 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.
Xiao, Jianxin, Mo Sha, Jingjun Wang, et al.. (2025). Carbohydrate-metabolizing gastrointestinal bacteria mediate resistome divergence in high feed efficiency Holstein dairy calves. Journal of Hazardous Materials. 499. 140283–140283.
2.
Luo, Shengnan, et al.. (2025). Long-read RNA sequencing dataset of human pancreatic cancer cell lines. Scientific Data. 12(1). 1653–1653.
3.
Wang, Jingjun, Duo Gao, Yi Yue, et al.. (2025). Integrating Subacute Ruminal Acidosis, Lipopolysaccharide, and Trained Immunity: A Comprehensive Review. International Journal of Biological Sciences. 21(6). 2806–2823. 1 indexed citations
4.
Liu, Yaoming, Wei Hu, Yanjie Xie, et al.. (2024). Single-cell transcriptomics enable the characterization of local extension in retinoblastoma. Communications Biology. 7(1). 11–11. 9 indexed citations
5.
Li, Wenqing, Wenqing Li, Wanli Li, et al.. (2024). Differential responses to avian pathogenic E. coli and the regulatory role of splenic miRNAs in APEC infection in Silkie chickens. Frontiers in Cellular and Infection Microbiology. 14. 1358216–1358216. 1 indexed citations
6.
Wang, Hao, et al.. (2023). Cisplatin-induced PANDAR-Chemo-EVs contribute to a more aggressive and chemoresistant ovarian cancer phenotype through the SRSF9-SIRT4/SIRT6 axis. Journal of Gynecologic Oncology. 35(2). e13–e13. 8 indexed citations
7.
Lu, Yicheng, Zhenzhen Duan, Jingni Wu, et al.. (2023). Nanopore long-read RNA sequencing reveals functional alternative splicing variants in human vascular smooth muscle cells. Communications Biology. 6(1). 1104–1104. 8 indexed citations
8.
Li, Shengli, Yuan Li, Zhiyuan Xu, et al.. (2023). Integrative proteomic characterization of adenocarcinoma of esophagogastric junction. Nature Communications. 14(1). 778–778. 24 indexed citations
9.
Yu, Dong, Qian Gao, Yong Chen, et al.. (2023). Identification of CircRNA signature associated with tumor immune infiltration to predict therapeutic efficacy of immunotherapy. Nature Communications. 14(1). 2540–2540. 42 indexed citations
10.
Wu, Di, Jian Chen, Longfei Wu, et al.. (2022). A clinically relevant model of focal embolic cerebral ischemia by thrombus and thrombolysis in rhesus monkeys. Nature Protocols. 17(9). 2054–2084. 16 indexed citations
11.
Sheng, Lingling, Ziyou Yu, Shengli Li, Zhaohua Jiang, & Weigang Cao. (2022). Midface Rejuvenation With Autologous Fat Grafting. Journal of Craniofacial Surgery. 34(2). 633–638. 3 indexed citations
12.
Li, Chunbo, Hao Wu, Luopei Guo, et al.. (2022). Single-cell transcriptomics reveals cellular heterogeneity and molecular stratification of cervical cancer. Communications Biology. 5(1). 1208–1208. 62 indexed citations
13.
Luo, Mei, Lin Ye, Ruimin Chang, et al.. (2022). Multi-omics characterization of autophagy-related molecular features for therapeutic targeting of autophagy. Nature Communications. 13(1). 6345–6345. 17 indexed citations
14.
Li, Chunbo, Luopei Guo, Shengli Li, & Keqin Hua. (2021). Single-cell transcriptomics reveals the landscape of intra-tumoral heterogeneity and transcriptional activities of ECs in CC. Molecular Therapy — Nucleic Acids. 24. 682–694. 69 indexed citations
15.
Wang, Junjun, Wei Hu, Teng Liu, et al.. (2021). Dissecting the single-cell transcriptome underlying chronic liver injury. Molecular Therapy — Nucleic Acids. 26. 1364–1373. 16 indexed citations
16.
Li, Zhe, Jiwei Zhang, Xinyang Liu, et al.. (2018). The LINC01138 drives malignancies via activating arginine methyltransferase 5 in hepatocellular carcinoma. Nature Communications. 9(1). 1572–1572. 170 indexed citations
17.
Yu, Tao, Yingjun Zhao, Zhixiang Hu, et al.. (2017). MetaLnc9 Facilitates Lung Cancer Metastasis via a PGK1-Activated AKT/mTOR Pathway. Cancer Research. 77(21). 5782–5794. 142 indexed citations
18.
Li, Shengli, Di Chen, Bing Chen, et al.. (2017). Transcriptomic analyses of RNA‐binding proteins reveal eIF3c promotes cell proliferation in hepatocellular carcinoma. Cancer Science. 108(5). 877–885. 29 indexed citations
19.
Dai, Tingting, et al.. (2017). Overexpression of Prox1 Induces the Differentiation of Human Adipose-Derived Stem Cells into Lymphatic Endothelial-Like Cells In Vitro. Cellular Reprogramming. 19(1). 54–63. 15 indexed citations
20.
Liu, Yuying, Jianfeng Huang, Ying Li, et al.. (2016). Effect of late night snack on nutritional status and quality of life in cirrhotic patients. 24(6). 342–348. 2 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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