Ming Bai

2.6k total citations · 1 hit paper
42 papers, 2.0k citations indexed

About

Ming Bai is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Ming Bai has authored 42 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 35 papers in Cancer Research and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Ming Bai's work include MicroRNA in disease regulation (22 papers), Cancer-related molecular mechanisms research (19 papers) and Circular RNAs in diseases (12 papers). Ming Bai is often cited by papers focused on MicroRNA in disease regulation (22 papers), Cancer-related molecular mechanisms research (19 papers) and Circular RNAs in diseases (12 papers). Ming Bai collaborates with scholars based in China, United States and United Kingdom. Ming Bai's co-authors include Ting Deng, Yi Ba, Shaohua Ge, Tao Ning, Haiyang Zhang, Guoguang Ying, Hongli Li, Rui Liu, Xinyi Wang and Yuchong Yang and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ming Bai

40 papers receiving 2.0k citations

Hit Papers

CAF secreted miR-522 suppresses ferroptosis and promotes ... 2020 2026 2022 2024 2020 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Bai China 23 1.6k 1.4k 441 257 143 42 2.0k
Jun Qian China 19 1.1k 0.7× 936 0.7× 394 0.9× 216 0.8× 122 0.9× 45 1.7k
Nasha Zhang China 24 1.4k 0.9× 1.1k 0.8× 239 0.5× 183 0.7× 104 0.7× 68 1.9k
Shaoquan Zheng China 26 1.4k 0.8× 1.0k 0.7× 537 1.2× 646 2.5× 262 1.8× 51 2.2k
Zhenna Xiao United States 11 1.3k 0.8× 1.1k 0.8× 465 1.1× 203 0.8× 76 0.5× 11 1.7k
Xi Liu China 22 1.2k 0.7× 866 0.6× 178 0.4× 272 1.1× 138 1.0× 67 1.8k
Zhaodong Han China 26 1.2k 0.8× 704 0.5× 414 0.9× 403 1.6× 200 1.4× 76 1.8k
Yufeng Wang China 28 2.0k 1.2× 1.7k 1.2× 214 0.5× 337 1.3× 167 1.2× 42 2.5k
Lincan Duan China 15 1.8k 1.1× 983 0.7× 241 0.5× 299 1.2× 88 0.6× 37 2.1k

Countries citing papers authored by Ming Bai

Since Specialization
Citations

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

Fields of papers citing papers by Ming Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Bai. A scholar is included among the top collaborators of Ming Bai 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 Ming Bai. Ming Bai 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.
Dong, Shu-Hui, et al.. (2025). Rapid discovery and biomimetic syntheses of two unusual hemiterpene-quassinoid adducts from Brucea javanica. Chinese Chemical Letters. 37(1). 111321–111321.
2.
Han, Xiaoyu, et al.. (2024). Chemical constituents from Elephantopus scaber L. and their chemotaxonomic significant. Biochemical Systematics and Ecology. 116. 104871–104871. 1 indexed citations
3.
Li, Qian, Jiaqi Niu, Wei Xu, et al.. (2023). A highly oxidized germacranolide from elephantopus tomentosus inhibits the growth of hepatocellular carcinoma cells by targeting EGFR in vitro and in vivo. Bioorganic Chemistry. 143. 107007–107007. 8 indexed citations
4.
Yan, Qiulin, Xinye Wang, Ming Bai, et al.. (2022). Sesquiterpene lactones from Elephantopus scaber exhibit cytotoxic effects on glioma cells by targeting GSTP1. Bioorganic Chemistry. 129. 106183–106183. 13 indexed citations
5.
D, Liu, Rong Liu, Ming Bai, et al.. (2020). Exosome-Delivered c-Met siRNA Could Reverse Chemoresistance to Cisplatin in Gastric Cancer. SHILAP Revista de lepidopterología. 2 indexed citations
6.
Bai, Ming, Wei Xu, Shu-Hui Dong, et al.. (2020). Elephantopinolide A-P, germacrane-type sesquiterpene lactones from Elephantopus scaber induce apoptosis, autophagy and G2/M phase arrest in hepatocellular carcinoma cells. European Journal of Medicinal Chemistry. 198. 112362–112362. 48 indexed citations
7.
Bai, Ming, Yangyang Zhang, Shu-Hui Dong, et al.. (2020). Targeted isolation of cytotoxic germacranolide sesquiterpenes from Elephantopus scaber L. using small molecule accurate recognition technology. Bioorganic Chemistry. 104. 104314–104314. 24 indexed citations
8.
Liu, Rong, et al.. (2019). Long noncoding RNA LINC00511 promotes cell growth and invasion in triple-negative breast cancer by interacting with Snail. SHILAP Revista de lepidopterología. 1 indexed citations
9.
Wang, Zhe, Simeng Zhao, Lihua Song, et al.. (2018). Natural cyclopeptide RA-V inhibits the NF-κB signaling pathway by targeting TAK1. Cell Death and Disease. 9(7). 715–715. 32 indexed citations
10.
Ning, Tao, Haiyang Zhang, Xinyi Wang, et al.. (2017). miR-370 regulates cell proliferation and migration by targeting EGFR in gastric cancer. Oncology Reports. 38(1). 384–392. 22 indexed citations
11.
Bai, Ming, et al.. (2017). Upregulation of Serum miR-10b Is Associated with Poor Prognosis in Patients with Melanoma. Journal of Cancer. 8(13). 2487–2491. 27 indexed citations
12.
Zhang, Haiyang, Jingjing Duan, Yanjun Qu, et al.. (2016). Onco-miR-24 regulates cell growth and apoptosis by targeting BCL2L11 in gastric cancer. Protein & Cell. 7(2). 141–151. 59 indexed citations
13.
Zhang, Haiyang, Yanjun Qu, Jingjing Duan, et al.. (2015). Integrated analysis of the miRNA, gene and pathway regulatory network in gastric cancer. Oncology Reports. 35(2). 1135–1146. 17 indexed citations
14.
Li, Jialu, Hongwei Liang, Ming Bai, et al.. (2015). miR-135b Promotes Cancer Progression by Targeting Transforming Growth Factor Beta Receptor II (TGFBR2) in Colorectal Cancer. PLoS ONE. 10(6). e0130194–e0130194. 48 indexed citations
15.
Zhao, Xiaodi, Lijie He, Yuanyuan Lu, et al.. (2014). SRF expedites metastasis and modulates the epithelial to mesenchymal transition by regulating miR-199a-5p expression in human gastric cancer. Cell Death and Differentiation. 21(12). 1900–1913. 84 indexed citations
16.
Huang, Dingzhi, Haiyan Wang, Rui Liu, et al.. (2013). miRNA27a Is a Biomarker for Predicting Chemosensitivity and Prognosis in Metastatic or Recurrent Gastric Cancer. Journal of Cellular Biochemistry. 115(3). 549–556. 62 indexed citations
17.
Zhang, Lin, Xiaodong Liu, Haifeng Jin, et al.. (2013). MiR-206 inhibits gastric cancer proliferation in part by repressing CyclinD2. Cancer Letters. 332(1). 94–101. 99 indexed citations
18.
Feng, Bin, Kai Li, Haixing Zhong, et al.. (2013). RhoE Promotes Metastasis in Gastric Cancer through a Mechanism Dependent on Enhanced Expression of CXCR4. PLoS ONE. 8(11). e81709–e81709. 18 indexed citations
19.
Bai, Ming, Xiaoyun Pang, Jizhong Lou, et al.. (2012). Mechanistic Insights into Regulated Cargo Binding by ACAP1 Protein. Journal of Biological Chemistry. 287(34). 28675–28685. 26 indexed citations
20.
Bai, Ming. (2005). Inhibition of Expression of Polo-like Kinase 1 by RNAi Interference in A549 Cells. Zhongguo shengwu huaxue yu fenzi shengwu xuebao. 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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