Renda Li

1.0k total citations
26 papers, 681 citations indexed

About

Renda Li is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Renda Li has authored 26 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Oncology and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Renda Li's work include RNA modifications and cancer (6 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Cancer, Lipids, and Metabolism (4 papers). Renda Li is often cited by papers focused on RNA modifications and cancer (6 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Cancer, Lipids, and Metabolism (4 papers). Renda Li collaborates with scholars based in China, United States and Norway. Renda Li's co-authors include Yibo Gao, Wei Guo, Fei Shao, Zhenlin Yang, Jie He, Fengwei Tan, Jie He, Shugeng Gao, Hao Zhang and Sijin Sun and has published in prestigious journals such as Nature Communications, Journal of Medicinal Chemistry and Frontiers in Immunology.

In The Last Decade

Renda Li

24 papers receiving 674 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Renda Li China 15 391 264 257 232 100 26 681
Zhenlin Yang China 16 235 0.6× 152 0.6× 314 1.2× 252 1.1× 112 1.1× 37 633
Ken Tajima Japan 17 498 1.3× 240 0.9× 328 1.3× 295 1.3× 40 0.4× 38 927
Kazumasa Minami Japan 15 262 0.7× 131 0.5× 321 1.2× 215 0.9× 50 0.5× 55 758
Konrad Klinghammer Germany 14 235 0.6× 125 0.5× 310 1.2× 181 0.8× 74 0.7× 53 580
Wanja Kildal Norway 14 214 0.5× 149 0.6× 149 0.6× 188 0.8× 62 0.6× 37 625
Ji‐Han Jung South Korea 15 265 0.7× 119 0.5× 282 1.1× 140 0.6× 145 1.4× 34 667
Ju‐Yeon Jeong South Korea 20 714 1.8× 557 2.1× 384 1.5× 263 1.1× 50 0.5× 31 1.1k
Bin Shao China 17 310 0.8× 215 0.8× 424 1.6× 139 0.6× 38 0.4× 48 777

Countries citing papers authored by Renda Li

Since Specialization
Citations

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

Fields of papers citing papers by Renda Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renda Li

This figure shows the co-authorship network connecting the top 25 collaborators of Renda Li. A scholar is included among the top collaborators of Renda 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 Renda Li. Renda 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.
Zhu, Jiamin, Hui Yuan, Kun Qian, et al.. (2025). A Novel Radiotracer for NTSR1-Targeted PET Imaging of Tumor: Preclinical and First-in-Human Studies. Journal of Medicinal Chemistry. 68(23). 25186–25197.
2.
Zhang, Ying, Jing Hu, Luming Sun, et al.. (2025). Native Ligand-Inspired peptides for c-MET targeted PET probes development. European Journal of Nuclear Medicine and Molecular Imaging. 53(1). 589–606.
3.
Chen, Kaixin, Chunrong Qu, Kun Qian, et al.. (2024). Development of an FAP-Targeted PET Probe Based on a Novel Quinolinium Molecular Scaffold. Bioconjugate Chemistry. 35(9). 1309–1317. 5 indexed citations
4.
Sun, Xujie, Li Liu, Hao Zhao, et al.. (2024). Pathological response and tumor stroma immunogenic features predict long-term survival in non-small cell lung cancer after neoadjuvant chemotherapy. Cellular Oncology. 47(3). 1005–1024. 2 indexed citations
5.
Li, Renda, et al.. (2023). Novel HER2-Targeted Peptide for NIR-II Imaging of Tumor. Molecular Pharmaceutics. 20(2). 1394–1403. 10 indexed citations
6.
Zhang, Guochao, Renda Li, Zhenlong Yuan, et al.. (2023). Development and validation of a nomogram based on preoperative variables for predicting recurrence‐free survival in stage IA lung adenocarcinoma. Thoracic Cancer. 14(31). 3108–3118. 1 indexed citations
7.
Wang, Juhong, Fei Shao, Yannan Yang, et al.. (2022). A non‐metabolic function of hexokinase 2 in small cell lung cancer: promotes cancer cell stemness by increasing USP11‐mediated CD133 stability. Cancer Communications. 42(10). 1008–1027. 45 indexed citations
8.
Wang, Juhong, Renda Li, Hong Cheng, et al.. (2022). The Deubiquitinase USP13 Maintains Cancer Cell Stemness by Promoting FASN Stability in Small Cell Lung Cancer. Frontiers in Oncology. 12. 899987–899987. 17 indexed citations
9.
Sun, Sijin, Yannan Yang, Juhong Wang, et al.. (2021). Ferroptosis Characterization in Lung Adenocarcinomas Reveals Prognostic Signature With Immunotherapeutic Implication. Frontiers in Cell and Developmental Biology. 9. 743724–743724. 4 indexed citations
10.
Sun, Sijin, Wei Guo, Fang Lv, et al.. (2021). Comprehensive Analysis of Ferroptosis Regulators in Lung Adenocarcinomas Identifies Prognostic and Immunotherapy-Related Biomarkers. Frontiers in Molecular Biosciences. 8. 587436–587436. 12 indexed citations
11.
Guo, Wei, Fengwei Tan, Qilin Huai, et al.. (2021). Comprehensive Analysis of PD-L1 Expression, Immune Infiltrates, and m6A RNA Methylation Regulators in Esophageal Squamous Cell Carcinoma. Frontiers in Immunology. 12. 669750–669750. 70 indexed citations
12.
Li, Renda, Zhenlin Yang, Hong Sheng Cheng, et al.. (2021). Multi-omics profiling of primary small cell carcinoma of the esophagus reveals RB1 disruption and additional molecular subtypes. Nature Communications. 12(1). 3785–3785. 29 indexed citations
13.
Yang, Zhenlin, Yue Peng, Wei Guo, et al.. (2021). PD‐L1 and CD47 co‐expression predicts survival and enlightens future dual‐targeting immunotherapy in non‐small cell lung cancer. Thoracic Cancer. 12(11). 1743–1751. 22 indexed citations
14.
15.
Zhang, Hao, Wei Guo, Fan Zhang, et al.. (2020). Monoacylglycerol Lipase Knockdown Inhibits Cell Proliferation and Metastasis in Lung Adenocarcinoma. Frontiers in Oncology. 10. 559568–559568. 18 indexed citations
16.
Yang, Zhenlin, Jiachen Xu, Lin Li, et al.. (2020). Integrated molecular characterization reveals potential therapeutic strategies for pulmonary sarcomatoid carcinoma. Nature Communications. 11(1). 4878–4878. 42 indexed citations
17.
Yang, Zhenlin, Jiachen Xu, Renda Li, Yibo Gao, & Jie He. (2019). PD-L1 and CD47 co-expression in pulmonary sarcomatoid carcinoma: a predictor of poor prognosis and potential targets of future combined immunotherapy. Journal of Cancer Research and Clinical Oncology. 145(12). 3055–3065. 25 indexed citations
18.
Guo, Wei, Pan Wang, Ning Li, et al.. (2017). Prognostic value of PD-L1 in esophageal squamous cell carcinoma: a meta-analysis. Oncotarget. 9(17). 13920–13933. 59 indexed citations
19.
Guo, Wei, Yibo Gao, Ning Li, et al.. (2017). Exosomes: New players in cancer. Oncology Reports. 38(2). 665–675. 123 indexed citations
20.
Li, Renda. (2009). The serum interleukin-18 and interleukin-6 concentration and their associated factors under different fasting plasma glucose. 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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