Chuan Li

3.6k total citations · 1 hit paper
75 papers, 2.0k citations indexed

About

Chuan Li is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Chuan Li has authored 75 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 16 papers in Pulmonary and Respiratory Medicine and 14 papers in Cancer Research. Recurrent topics in Chuan Li's work include RNA and protein synthesis mechanisms (8 papers), RNA modifications and cancer (8 papers) and MicroRNA in disease regulation (7 papers). Chuan Li is often cited by papers focused on RNA and protein synthesis mechanisms (8 papers), RNA modifications and cancer (8 papers) and MicroRNA in disease regulation (7 papers). Chuan Li collaborates with scholars based in China, United States and Taiwan. Chuan Li's co-authors include Jianzhi Zhang, Xiaofeng Meng, Chung S. Yang, Philip W. Tucker, Mao‐Jung Lee, Bin Wang, Siliang Song, Jungil Hong, Guang‐Yu Yang and Bożena Winnik and has published in prestigious journals such as Nature, Science and Nucleic Acids Research.

In The Last Decade

Chuan Li

70 papers receiving 2.0k citations

Hit Papers

Synonymous mutations in representative yeast genes are mo... 2022 2026 2023 2024 2022 50 100 150
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. Synonymous mutations in representative yeast genes are mostly strongly non-neutral
    2022 175 citations Chuan Li, Jianzhi Zhang et al. profile →

Peers

Chuan Li
Boo Ahn Shin South Korea
Yali Zhang China
Weixin Wang China
Xin Mao China
Eshita Sharma India
Wu H China
Kailash C. Chadha United States
M.N. Gould United States
Tingxiu Xiang China
Jennifer L. Johnson United States
Boo Ahn Shin South Korea
Chuan Li
Citations per year, relative to Chuan Li Chuan Li (= 1×) peers Boo Ahn Shin

Countries citing papers authored by Chuan Li

Since Specialization
Citations

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

Fields of papers citing papers by Chuan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Chuan Li. A scholar is included among the top collaborators of Chuan 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 Chuan Li. Chuan 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.
Huang, Jing, Ying Chen, Chuan Li, et al.. (2025). Viral Detection in Phalaenopsis Orchids Using High-Throughput Sequencing and One-Step Multiplex RT-PCR. Plant Disease. 109(11). 2257–2261.
2.
Climente-González, Héctor, Min Oh, Urszula Chajewska, et al.. (2025). Interpretable machine learning leverages proteomics to improve cardiovascular disease risk prediction and biomarker identification. Communications Medicine. 5(1). 170–170. 2 indexed citations
3.
4.
Lee, Myung Chang, Hongchen Cai, Christopher W. Murray, et al.. (2023). A multiplexed in vivo approach to identify driver genes in small cell lung cancer. Cell Reports. 42(1). 111990–111990. 15 indexed citations
5.
Yi, Xinzhu, Haiyue Liu, Ruilin Meng, et al.. (2023). The airway microbiome mediates the interaction between environmental exposure and respiratory health in humans. Nature Medicine. 29(7). 1750–1759. 53 indexed citations
6.
7.
Li, Chuan, et al.. (2023). Chance promoter activities illuminate the origins of eukaryotic intergenic transcriptions. Nature Communications. 14(1). 1826–1826. 9 indexed citations
8.
Ouyang, Quchang, Ying Wang, Jian Zhang, et al.. (2023). HS‐10352 in hormone receptor‐positive, HER2‐negative advanced breast cancer: A phase 1 dose‐escalation trial. Cancer Medicine. 12(24). 21849–21860. 1 indexed citations
9.
Wu, Chengzhi, Hengyu Liu, Xiaoming Yang, et al.. (2023). Mapk7 deletion in chondrocytes causes vertebral defects by reducing MEF2C/PTEN/AKT signaling. Genes & Diseases. 11(2). 964–977. 4 indexed citations
10.
Zhang, Chen, et al.. (2023). Pan-cancer analysis identifies RNF43 as a prognostic, therapeutic and immunological biomarker. European journal of medical research. 28(1). 438–438. 3 indexed citations
11.
Liu, Yang, Yang Yang, Chuan Li, et al.. (2022). Inducible caspase-9 suicide gene under control of endogenous oct4 to safeguard mouse and human pluripotent stem cell therapy. Molecular Therapy — Methods & Clinical Development. 24. 332–341. 15 indexed citations
12.
Li, Chuan, Wen‐Yang Lin, Hira Rizvi, et al.. (2021). Quantitative In Vivo Analyses Reveal a Complex Pharmacogenomic Landscape in Lung Adenocarcinoma. Cancer Research. 81(17). 4570–4580. 10 indexed citations
13.
Foggetti, Giorgia, Chuan Li, Hongchen Cai, et al.. (2021). Genetic Determinants of EGFR-Driven Lung Cancer Growth and Therapeutic Response In Vivo. Cancer Discovery. 11(7). 1736–1753. 68 indexed citations
14.
Murray, Christopher W., Jennifer J. Brady, Min K. Tsai, et al.. (2019). An LKB1–SIK Axis Suppresses Lung Tumor Growth and Controls Differentiation. Cancer Discovery. 9(11). 1590–1605. 62 indexed citations
15.
Xu, Yuyang, Chunchao Xia, Zihuai Wang, et al.. (2019). Discovery of lung surface intersegmental landmarks by three-dimensional reconstruction and morphological measurement. Translational Lung Cancer Research. 8(6). 1061–1072. 10 indexed citations
16.
Li, Chuan & Jianzhi Zhang. (2019). Stop-codon read-through arises largely from molecular errors and is generally nonadaptive. PLoS Genetics. 15(5). e1008141–e1008141. 52 indexed citations
17.
Su, Jiasun, Jin Wang, Xin Fan, et al.. (2017). Mosaic UPD(7q)mat in a patient with silver Russell syndrome. Molecular Cytogenetics. 10(1). 36–36. 8 indexed citations
18.
Li, Chuan, Wenfeng Qian, Calum J. Maclean, & Jianzhi Zhang. (2016). The fitness landscape of a tRNA gene. Science. 352(6287). 837–840. 112 indexed citations
19.
Kim, Sungbin, Mao-Jung Lee, Jungil Hong, et al.. (2000). Plasma and Tissue Levels of Tea Catechins in Rats and Mice During Chronic Consumption of Green Tea Polyphenols. Nutrition and Cancer. 37(1). 41–48. 195 indexed citations
20.
Lee, Mao‐Jung, Saileta Prabhu, Xiaofeng Meng, Chuan Li, & Chung S. Yang. (2000). An Improved Method for the Determination of Green and Black Tea Polyphenols in Biomatrices by High-Performance Liquid Chromatography with Coulometric Array Detection. Analytical Biochemistry. 279(2). 164–169. 142 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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