Chunmei Cui

1.9k total citations · 1 hit paper
31 papers, 1.2k citations indexed

About

Chunmei Cui is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Chunmei Cui has authored 31 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 15 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Chunmei Cui's work include Cancer-related molecular mechanisms research (14 papers), MicroRNA in disease regulation (11 papers) and RNA modifications and cancer (10 papers). Chunmei Cui is often cited by papers focused on Cancer-related molecular mechanisms research (14 papers), MicroRNA in disease regulation (11 papers) and RNA modifications and cancer (10 papers). Chunmei Cui collaborates with scholars based in China, Italy and United Kingdom. Chunmei Cui's co-authors include Qinghua Cui, Yuan Zhou, Jiangcheng Shi, Yuanxu Gao, Zhou Huang, Shan Zhang, Jianwei Li, Rui Fan, Zhiran Yi and Xingzhao Wang and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Chunmei Cui

29 papers receiving 1.2k citations

Hit Papers

HMDD v3.0: a database for experimentally supported human ... 2018 2026 2020 2023 2018 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chunmei Cui China 12 842 706 126 92 66 31 1.2k
Zixuan Li China 14 426 0.5× 190 0.3× 55 0.4× 14 0.2× 71 1.1× 35 793
Xiaobing Jiang China 12 326 0.4× 220 0.3× 87 0.7× 12 0.1× 27 0.4× 35 598
Jiawei Liao China 17 308 0.4× 125 0.2× 119 0.9× 28 0.3× 79 1.2× 52 749
Baolong Su United States 9 288 0.3× 123 0.2× 88 0.7× 14 0.2× 63 1.0× 14 609
Nicolò Salvarani Italy 16 536 0.6× 119 0.2× 116 0.9× 17 0.2× 45 0.7× 23 1.1k
Yong Hu China 18 628 0.7× 381 0.5× 59 0.5× 5 0.1× 38 0.6× 42 1.2k
Tzu-Wei Lin Taiwan 12 440 0.5× 196 0.3× 129 1.0× 6 0.1× 21 0.3× 30 942
Majid Rahmati Iran 12 398 0.5× 253 0.4× 159 1.3× 9 0.1× 45 0.7× 34 944
Weihua Li China 13 1000 1.2× 562 0.8× 111 0.9× 3 0.0× 131 2.0× 42 1.5k

Countries citing papers authored by Chunmei Cui

Since Specialization
Citations

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

Fields of papers citing papers by Chunmei Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunmei Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Chunmei Cui. A scholar is included among the top collaborators of Chunmei Cui 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 Chunmei Cui. Chunmei Cui 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.
Lv, Boyang, Junbao Du, Yaqian Huang, et al.. (2025). Identification of Metabolism-Related Hub Genes in Heart Failure via Comprehensive Transcriptome Analysis. Genes. 16(3). 305–305. 1 indexed citations
2.
Kararigas, Georgios, Mara C. Ebeling, Gengyun Le, et al.. (2025). Transcriptomic Profiling Reveals 17β‐Estradiol Treatment Represses Ubiquitin‐Proteasomal Mediators in Skeletal Muscle of Ovariectomized Mice. Journal of Cachexia Sarcopenia and Muscle. 16(1). e13698–e13698. 2 indexed citations
3.
Zhang, Chenhao, et al.. (2024). Identification and Analysis of Sex-Biased Copy Number Alterations. SHILAP Revista de lepidopterología. 3. 121–121.
4.
Cui, Chunmei, et al.. (2024). A combined deep learning framework for mammalian m6A site prediction. Cell Genomics. 4(12). 100697–100697. 11 indexed citations
5.
Fan, Rui, et al.. (2024). Comprehensive prediction and analysis of human protein essentiality based on a pretrained large language model. Nature Computational Science. 5(3). 196–206. 3 indexed citations
6.
Lu, Yingyu, et al.. (2023). G Protein-Coupled Receptor 40 Agonist LY2922470 Alleviates Ischemic-Stroke-Induced Acute Brain Injury and Functional Alterations in Mice. International Journal of Molecular Sciences. 24(15). 12244–12244. 5 indexed citations
7.
Cui, Chunmei, et al.. (2023). HMDD v4.0: a database for experimentally supported human microRNA-disease associations. Nucleic Acids Research. 52(D1). D1327–D1332. 65 indexed citations
8.
Xiao, Lin, Yingyu Lu, Chenhao Zhang, et al.. (2023). LncRNADisease v3.0: an updated database of long non-coding RNA-associated diseases. Nucleic Acids Research. 52(D1). D1365–D1369. 48 indexed citations
9.
Fan, Rui, et al.. (2023). A fusion framework of deep learning and machine learning for predicting sgRNA cleavage efficiency. Computers in Biology and Medicine. 165. 107476–107476. 3 indexed citations
10.
Cui, Chunmei, Rui Fan, Xiaojuan Zha, et al.. (2023). Detection of diabetic patients in people with normal fasting glucose using machine learning. BMC Medicine. 21(1). 342–342. 28 indexed citations
11.
Cui, Chunmei, et al.. (2023). Identification and Analysis of Sex-Biased MicroRNAs in Human Diseases. Genes. 14(9). 1688–1688. 5 indexed citations
12.
Cui, Chunmei, et al.. (2023). Combating pancreatic cancer with ovarian cancer cells. Aging. 15(6). 2189–2207.
13.
Liu, Xiaoyan, Zhenzhen Chen, Shuangyue Li, et al.. (2022). Pre-miRNA Hsa-Let-7a-2: a Novel Intracellular Partner of Angiotensin II Type 2 Receptor Negatively Regulating its Signals. International Journal of Biological Sciences. 18(8). 3237–3250. 1 indexed citations
14.
Cui, Chunmei, Xiaobin Wu, & Yuan Zhou. (2021). GlyinsRNA: a webserver for predicting glycosylation sites on small RNAs. RNA Biology. 18(sup2). 600–603. 5 indexed citations
15.
Cui, Chunmei, et al.. (2020). smORFunction: a tool for predicting functions of small open reading frames and microproteins. BMC Bioinformatics. 21(1). 455–455. 19 indexed citations
16.
Shi, Jiangcheng, et al.. (2020). MicroRNA Profiling in Paired Left and Right Eyes, Lungs, and Testes of Normal Mice. Molecular Therapy — Nucleic Acids. 21. 687–695. 3 indexed citations
17.
Cui, Chunmei, et al.. (2020). AGTR2, One Possible Novel Key Gene for the Entry of SARS-CoV-2 Into Human Cells. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(4). 1230–1233. 35 indexed citations
18.
Cui, Chunmei, Bing Shi, Jiangcheng Shi, Yuan Zhou, & Qinghua Cui. (2019). Defining the Importance Score of Human MicroRNAs and Their Single Nucleotide Mutants Using Random Forest Regression and Sequence Data. Advanced Theory and Simulations. 2(9). 3 indexed citations
19.
Cui, Chunmei, Weili Yang, Jiangcheng Shi, et al.. (2018). Identification and Analysis of Human Sex-Biased MicroRNAs. Genomics Proteomics & Bioinformatics. 16(3). 200–211. 98 indexed citations
20.
Cui, Chunmei, et al.. (2018). An analysis of aging-related genes derived from the Genotype-Tissue Expression project (GTEx). Cell Death Discovery. 4(1). 26–26. 25 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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