Yuemin Li

1.4k total citations
41 papers, 1.1k citations indexed

About

Yuemin Li is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Yuemin Li has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 12 papers in Molecular Biology and 12 papers in Cancer Research. Recurrent topics in Yuemin Li's work include Colorectal Cancer Screening and Detection (9 papers), Cancer Genomics and Diagnostics (9 papers) and Genetic factors in colorectal cancer (9 papers). Yuemin Li is often cited by papers focused on Colorectal Cancer Screening and Detection (9 papers), Cancer Genomics and Diagnostics (9 papers) and Genetic factors in colorectal cancer (9 papers). Yuemin Li collaborates with scholars based in China, France and United States. Yuemin Li's co-authors include Lele Song, Xiumei Peng, Wenhua Xiao, Jia Jia, Yuan Gong, Haotian Yu, Yi Zong, Wei Zhang, Jun Sun and Lianmei Zhong and has published in prestigious journals such as PLoS ONE, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Yuemin Li

37 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuemin Li China 19 463 368 306 238 185 41 1.1k
Hongjin Wu China 21 722 1.6× 175 0.5× 433 1.4× 90 0.4× 116 0.6× 62 1.2k
Tingting Lü China 20 501 1.1× 130 0.4× 156 0.5× 138 0.6× 100 0.5× 75 1.2k
Cheng Xu China 17 439 0.9× 229 0.6× 344 1.1× 80 0.3× 191 1.0× 99 1.1k
Xiao Ke China 17 648 1.4× 186 0.5× 285 0.9× 154 0.6× 67 0.4× 53 1.1k
Zhiyuan Fan China 18 556 1.2× 140 0.4× 312 1.0× 49 0.2× 139 0.8× 36 955
Tao Sun China 18 489 1.1× 126 0.3× 149 0.5× 85 0.4× 109 0.6× 67 1.1k
Mei Liang China 16 472 1.0× 321 0.9× 130 0.4× 67 0.3× 139 0.8× 43 1.1k
Hui Shi China 20 496 1.1× 380 1.0× 200 0.7× 51 0.2× 154 0.8× 42 1.2k

Countries citing papers authored by Yuemin Li

Since Specialization
Citations

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

Fields of papers citing papers by Yuemin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuemin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yuemin Li. A scholar is included among the top collaborators of Yuemin 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 Yuemin Li. Yuemin 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, Lang, Yulan Dong, Yuemin Li, et al.. (2025). Effects and mechanisms of aflatoxin B1 on oocytes and embryo development. Ecotoxicology and Environmental Safety. 302. 118572–118572.
2.
Xu, Haisong, et al.. (2023). Luminance and Detail Enhancement for HDR Images Based on Surround-Aware Perceptual Quantization Under Ambient Illumination. IEEE Transactions on Circuits and Systems for Video Technology. 33(11). 6249–6259. 2 indexed citations
3.
Chen, Ning, Yuemin Li, Zhenhua Liang, et al.. (2023). Intermittent fasting boosts antitumor immunity by restricting CD11b +Ly6C low Ly6G low cell viability through glucose metabolism in murine breast tumor model. Food Science and Human Wellness. 13(4). 2327–2345. 2 indexed citations
4.
Xu, Haisong, et al.. (2023). Constructing high-dynamic-range spectral images for natural scenes. Optical Engineering. 62(11).
5.
Li, Yuemin, Hao Xi, Ning Chen, et al.. (2022). Benzo(a)pyrene and cardiovascular diseases: An overview of pre-clinical studies focused on the underlying molecular mechanism. Frontiers in Nutrition. 9. 978475–978475. 25 indexed citations
6.
Yao, Jianfei, Jing Fan, Yuan Gong, et al.. (2022). Comprehensive characterization of CRC with germline mutations reveals a distinct somatic mutational landscape and elevated cancer risk in the Chinese population. Cancer Biology and Medicine. 19(5). 707–732. 3 indexed citations
7.
Li, Yuemin, et al.. (2022). Silva cumulative score and its relationship with prognosis in Endocervical adenocarcinoma. BMC Cancer. 22(1). 1172–1172. 2 indexed citations
8.
Cai, Wang, et al.. (2022). Investigation of Deformation Behavior of TWIP Steel Using Crystal Plasticity Coupling Temperature Effect. Journal of Mechanical Engineering. 58(20). 283–283. 1 indexed citations
9.
Li, Yuemin, Yang Wang, Mei Yang, et al.. (2020). Different Intensity Exercise Preconditions Affect Cardiac Function of Exhausted Rats through Regulating TXNIP/TRX/NF‐ĸBp65/NLRP3 Inflammatory Pathways. Evidence-based Complementary and Alternative Medicine. 2020(1). 5809298–5809298. 19 indexed citations
10.
11.
Yao, Jianfei, Yuan Gong, Wei Zhao, et al.. (2019). Comprehensive analysis of POLE and POLD1 Gene Variations identifies cancer patients potentially benefit from immunotherapy in Chinese population. Scientific Reports. 9(1). 15767–15767. 38 indexed citations
12.
Song, Lele, Shaohua Guo, Jiayu Wang, et al.. (2018). The Blood Msept9 is Capable of Assessing the Surgical Therapeutic Effect and the Prognosis of Colorectal Cancer. Biomarkers in Medicine. 12(9). 961–973. 25 indexed citations
13.
Song, Lele, Jia Jia, Xiumei Peng, Wenhua Xiao, & Yuemin Li. (2017). The performance of the SEPT9 gene methylation assay and a comparison with other CRC screening tests: A meta-analysis. Scientific Reports. 7(1). 3032–3032. 140 indexed citations
14.
Song, Lele, Haotian Yu, Xiumei Peng, et al.. (2017). The performance of the mSEPT9 assay is influenced by algorithm, cancer stage and age, but not sex and cancer location. Journal of Cancer Research and Clinical Oncology. 143(6). 1093–1101. 38 indexed citations
15.
Song, Lele & Yuemin Li. (2016). Current noninvasive tests for colorectal cancer screening: An overview of colorectal cancer screening tests. World Journal of Gastrointestinal Oncology. 8(11). 793–793. 81 indexed citations
16.
Song, Lele, Yuemin Li, Jia Jia, et al.. (2016). Algorithm Optimization in Methylation Detection with Multiple RT-qPCR. PLoS ONE. 11(11). e0163333–e0163333. 27 indexed citations
17.
Song, Lele, et al.. (2015). Development of Small Molecules Targeting the Wnt Signaling Pathway in Cancer Stem Cells for the Treatment of Colorectal Cancer. Clinical Colorectal Cancer. 14(3). 133–145. 44 indexed citations
18.
Song, Lele, Haotian Yu, & Yuemin Li. (2015). Diagnosis of Lung Cancer by SHOX2 Gene Methylation Assay. Molecular Diagnosis & Therapy. 19(3). 159–167. 21 indexed citations
19.
Li, Yuemin, et al.. (2011). Radiotherapy of unicentric mediastinal Castleman's disease. Chinese Journal of Cancer. 30(5). 351–356. 10 indexed citations
20.
Jiang, Minghong, Wenfang Shi, Qi Zhang, et al.. (2006). Gene Therapy Using Adenovirus-Mediated Full-length Anti-HER-2 Antibody for HER-2 Overexpression Cancers. Clinical Cancer Research. 12(20). 6179–6185. 42 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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