Yalun Li

2.2k total citations
81 papers, 1.5k citations indexed

About

Yalun Li is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yalun Li has authored 81 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 29 papers in Oncology and 28 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yalun Li's work include Cancer-related molecular mechanisms research (17 papers), Cancer Immunotherapy and Biomarkers (14 papers) and RNA modifications and cancer (13 papers). Yalun Li is often cited by papers focused on Cancer-related molecular mechanisms research (17 papers), Cancer Immunotherapy and Biomarkers (14 papers) and RNA modifications and cancer (13 papers). Yalun Li collaborates with scholars based in China, United States and Saint Kitts and Nevis. Yalun Li's co-authors include Huizhe Wu, Xiao Hu, Minjie Wei, Qiuchen Chen, Li Zhuang, Weimin Li, Guangwei Sun, Tong Sun, Qingyue Zhang and Dapeng Lu and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Analytical Chemistry.

In The Last Decade

Yalun Li

76 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yalun Li China 18 825 577 352 226 116 81 1.5k
Andrew Redfern Australia 20 732 0.9× 439 0.8× 703 2.0× 262 1.2× 73 0.6× 102 1.6k
Bo Chen China 23 875 1.1× 440 0.8× 758 2.2× 433 1.9× 155 1.3× 114 1.9k
Nina Radosevic‐Robin France 21 528 0.6× 352 0.6× 627 1.8× 223 1.0× 132 1.1× 55 1.3k
Emmanuel Blot France 19 543 0.7× 368 0.6× 639 1.8× 207 0.9× 68 0.6× 50 1.4k
Kathrin Scheckenbach Germany 25 464 0.6× 221 0.4× 513 1.5× 143 0.6× 117 1.0× 64 1.4k
Friedrich Stölzel Germany 22 539 0.7× 215 0.4× 409 1.2× 164 0.7× 64 0.6× 92 1.9k
Gaochao Dong China 24 1.6k 1.9× 1.1k 1.9× 382 1.1× 410 1.8× 111 1.0× 74 2.2k
Stephen G. Maher Ireland 20 853 1.0× 646 1.1× 514 1.5× 252 1.1× 87 0.8× 52 1.8k
Fuyou Zhou China 22 945 1.1× 501 0.9× 377 1.1× 322 1.4× 46 0.4× 86 1.6k
Yan Jia China 25 1.0k 1.2× 354 0.6× 405 1.2× 226 1.0× 242 2.1× 89 1.8k

Countries citing papers authored by Yalun Li

Since Specialization
Citations

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

Fields of papers citing papers by Yalun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yalun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yalun Li. A scholar is included among the top collaborators of Yalun 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 Yalun Li. Yalun 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.
Wu, Ting, Ying‐Qi Zhao, Xinming Zhang, et al.. (2025). Short‐chain acyl post‐translational modifications in cancers: Mechanisms, roles, and therapeutic implications. Cancer Communications. 45(10). 1247–1284. 17 indexed citations
2.
3.
Zeng, Hao, Wentao Qi, Qin Huang, et al.. (2024). Steroid-Refractory Myocarditis Induced by Immune Checkpoint Inhibitor Responded to Infliximab: Report of Two Cases and Literature Review. Cardiovascular Toxicology. 24(11). 1174–1191. 5 indexed citations
4.
Zeng, Hao, et al.. (2024). Dissecting the Clinical Characteristics and Treatment Outcomes Correlates of KRAS G12C-Mutated Non-Small Cell Lung Cancer. International Journal of General Medicine. Volume 17. 4507–4517.
5.
Li, Yalun, Liyan Ji, Yingqian Zhang, et al.. (2024). The combination of tumor mutational burden and T‐cell receptor repertoire predicts the response to immunotherapy in patients with advanced non–small cell lung cancer. SHILAP Revista de lepidopterología. 5(6). e604–e604. 5 indexed citations
6.
7.
Liu, Yang, Yalun Li, Dan Chen, et al.. (2023). Homologous recombination deficiency prediction using low-pass whole genome sequencing in breast cancer. Cancer Genetics. 272-273. 35–40. 4 indexed citations
8.
Jia, Ziqi, Jiaqi Liu, Gang Liu, et al.. (2023). Single nucleotide polymorphisms associated with female breast cancer susceptibility in Chinese population. Gene. 884. 147676–147676. 1 indexed citations
9.
Luo, Hong, Sisi Dai, Yalun Li, et al.. (2023). [Peripheral Blood Laboratory Test Results Combined with TCF1+CD8+ T Lymphocytes 
Ratio to Predict the Response and Prognosis of Immunotherapy to 
Advanced Lung Cancer].. SHILAP Revista de lepidopterología. 26(8). 605–614. 2 indexed citations
10.
Qi, Wentao, et al.. (2023). The clinical features and prognosis of fungal pleural infection: A case series and literature review. Medicine. 102(48). e36411–e36411. 1 indexed citations
11.
Yu, Guohua, Yalun Li, Yunyun Zhang, et al.. (2022). Validation of absolutely quantitated Ki67 and cyclinD1 protein levels for prognosis of Luminal‐like breast cancer patients. Journal of Clinical Laboratory Analysis. 36(8). e24601–e24601. 4 indexed citations
12.
Xu, Renjie, et al.. (2022). A one-year follow-up study on dynamic changes of leukocyte subsets and virus-specific antibodies of patients with COVID-19 in Sichuan, China. International Journal of Medical Sciences. 19(7). 1122–1130. 1 indexed citations
13.
Li, Jingwei, Peiyi Li, Jun Shao, et al.. (2022). Emerging Role of Noncoding RNAs in EGFR TKI-Resistant Lung Cancer. Cancers. 14(18). 4423–4423. 10 indexed citations
14.
Xue, Ting, Ning Guo, Chengyong Wu, et al.. (2021). Single point mutations can potentially enhance infectivity of SARS-CoV-2 revealed by in silico affinity maturation and SPR assay. RSC Advances. 11(24). 14737–14745. 15 indexed citations
15.
Wang, Di, Yong Zhang, Junbo Chen, et al.. (2021). Detection of SARS-CoV-2 and Its Mutated Variants via CRISPR-Cas13-Based Transcription Amplification. Analytical Chemistry. 93(7). 3393–3402. 140 indexed citations
16.
Li, Yalun, et al.. (2020). miR-146a Enhances the Sensitivity of Breast Cancer Cells to Paclitaxel by Downregulating IRAK1. Cancer Biotherapy and Radiopharmaceuticals. 37(8). 624–635. 12 indexed citations
17.
C, Liu, et al.. (2020). Long noncoding RNA LUCAT1 promotes migration and invasion of prostate cancer cells by inhibiting KISS1 expression. SHILAP Revista de lepidopterología. 2 indexed citations
18.
Yue, Ming, Nan Wu, Tianyi Qian, et al.. (2020). Progress and Future Trends in PET/CT and PET/MRI Molecular Imaging Approaches for Breast Cancer. Frontiers in Oncology. 10. 1301–1301. 82 indexed citations
19.
Wang, Xiufang, Zhikun Wu, Wenyan Qin, et al.. (2020). Long non-coding RNA ZFAS1 promotes colorectal cancer tumorigenesis and development through DDX21-POLR1B regulatory axis. Aging. 12(22). 22656–22687. 26 indexed citations
20.
Sun, Guangwei, Yalun Li, Dapeng Lu, et al.. (2018). Can sarcopenia be a predictor of prognosis for patients with non-metastatic colorectal cancer? A systematic review and meta-analysis. International Journal of Colorectal Disease. 33(10). 1419–1427. 103 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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