Yingmin Yao

1.9k total citations
65 papers, 1.4k citations indexed

About

Yingmin Yao is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Yingmin Yao has authored 65 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 17 papers in Oncology and 17 papers in Cancer Research. Recurrent topics in Yingmin Yao's work include Ubiquitin and proteasome pathways (12 papers), Cancer-related Molecular Pathways (10 papers) and Liver Disease Diagnosis and Treatment (8 papers). Yingmin Yao is often cited by papers focused on Ubiquitin and proteasome pathways (12 papers), Cancer-related Molecular Pathways (10 papers) and Liver Disease Diagnosis and Treatment (8 papers). Yingmin Yao collaborates with scholars based in China and United States. Yingmin Yao's co-authors include Qingguang Liu, Kangsheng Tu, Xin Zheng, Wei Yang, Qingguang Liu, Zhongtang Lu, Cheng Guo, Zhikui Liu, Changwei Dou and Yufeng Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Communications and Scientific Reports.

In The Last Decade

Yingmin Yao

63 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingmin Yao China 23 841 522 287 213 173 65 1.4k
Renan Jin China 17 703 0.8× 463 0.9× 274 1.0× 199 0.9× 156 0.9× 34 1.2k
Changwei Dou China 22 1.2k 1.4× 852 1.6× 334 1.2× 242 1.1× 198 1.1× 46 1.8k
Daimin Xiang China 17 1.2k 1.4× 764 1.5× 301 1.0× 123 0.6× 200 1.2× 28 1.6k
Biao Fan China 17 605 0.7× 330 0.6× 259 0.9× 418 2.0× 80 0.5× 32 1.2k
Yongfu Zhao China 24 923 1.1× 529 1.0× 261 0.9× 178 0.8× 139 0.8× 60 1.5k
Melissa Dumble United States 17 749 0.9× 244 0.5× 411 1.4× 203 1.0× 130 0.8× 28 1.3k
Sunbin Ling China 19 790 0.9× 402 0.8× 533 1.9× 167 0.8× 265 1.5× 50 1.4k
Limei Liu China 22 1.1k 1.4× 507 1.0× 565 2.0× 101 0.5× 148 0.9× 42 1.7k
Qingguang Liu China 21 855 1.0× 531 1.0× 213 0.7× 91 0.4× 110 0.6× 55 1.2k
Jianting Long China 20 784 0.9× 512 1.0× 290 1.0× 141 0.7× 85 0.5× 51 1.2k

Countries citing papers authored by Yingmin Yao

Since Specialization
Citations

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

Fields of papers citing papers by Yingmin Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingmin Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Yingmin Yao. A scholar is included among the top collaborators of Yingmin Yao 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 Yingmin Yao. Yingmin Yao 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.
Cao, Zelin, Bai Sun, Kaikai Gao, et al.. (2024). A reversible implantable memristor for health monitoring applications. Materials Today Bio. 26. 101096–101096. 12 indexed citations
2.
Gao, Kaikai, Bai Sun, Guangdong Zhou, et al.. (2024). Blood-based biomemristor for hyperglycemia and hyperlipidemia monitoring. Materials Today Bio. 28. 101169–101169. 3 indexed citations
3.
Yang, Chenxi, Zhijie Zhang, Lu Ren, et al.. (2024). Magnetic navigation-assisted colonoscopic enteral tube placement in swine (with video): a preliminary study. BMC Gastroenterology. 24(1). 341–341.
4.
Liu, Yang, Runkun Liu, Junjun Zhao, et al.. (2021). LncRNA TMEM220-AS1 suppresses hepatocellular carcinoma cell proliferation and invasion by regulating the TMEM220/β-catenin axis. Journal of Cancer. 12(22). 6805–6813. 5 indexed citations
5.
Shi, Zhan, Runkun Liu, Qiliang Lu, et al.. (2021). UBE2O promotes hepatocellular carcinoma cell proliferation and invasion by regulating the AMPKα2/mTOR pathway. International Journal of Medical Sciences. 18(16). 3749–3758. 16 indexed citations
6.
Xu, Meng, Qingquan Liu, Yuli Jia, et al.. (2016). BCAT1 promotes tumor cell migration and invasion in hepatocellular carcinoma. Oncology Letters. 12(4). 2648–2656. 33 indexed citations
7.
Li, Qing, et al.. (2015). Clinical Analysis of Intraperitoneal Lymphangioma. Chinese Medical Journal. 128(22). 3043–3049. 5 indexed citations
8.
Yao, Yingmin, et al.. (2015). MACC1 Suppresses Cell Apoptosis in Hepatocellular Carcinoma by Targeting the HGF/c-MET/AKT Pathway. Cellular Physiology and Biochemistry. 35(3). 983–996. 44 indexed citations
9.
Liu, Zhikui, Changwei Dou, Yuli Jia, et al.. (2015). RIG-I suppresses the migration and invasion of hepatocellular carcinoma cells by regulating MMP9. International Journal of Oncology. 46(4). 1710–1720. 27 indexed citations
10.
Zheng, Xin, et al.. (2013). [Expression of PCAF in hepatocellular carcinoma and its clinical significance].. PubMed. 29(3). 297–300. 9 indexed citations
11.
Zheng, Xin, Xiaohong Gai, Zhongtang Lu, et al.. (2013). Histone acetyltransferase PCAF Up-regulated cell apoptosis in hepatocellular carcinoma via acetylating histone H4 and inactivating AKT signaling. Molecular Cancer. 12(1). 96–96. 42 indexed citations
12.
Xu, Kedong, Jie Gao, Xue Yang, Yingmin Yao, & Qingguang Liu. (2013). Cytohesin-2 as a novel prognostic marker for hepatocellular carcinoma. Oncology Reports. 29(6). 2211–2218. 12 indexed citations
13.
Han, Shaoshan, et al.. (2013). Activated hepatic stellate cells promote hepatocellular carcinoma cell migration and invasion via the activation of FAK-MMP9 signaling. Oncology Reports. 31(2). 641–648. 34 indexed citations
14.
Lu, Zhongtang, Zheyong Liang, Dong Ji, et al.. (2012). Metastasis-associated in colon cancer-1 is associated with poor prognosis in hepatocellular carcinoma, partly by promoting proliferation through enhanced glucose metabolism. Molecular Medicine Reports. 12(1). 426–434. 20 indexed citations
15.
Tu, Kangsheng, et al.. (2012). Evaluation of Fbxw7 expression and its correlation with the expression of c‐Myc, cyclin E and p53 in human hepatocellular carcinoma. Hepatology Research. 42(9). 904–910. 42 indexed citations
16.
Liu, Qingguang, et al.. (2012). Knockdown of MACC1 expression suppressed hepatocellular carcinoma cell migration and invasion and inhibited expression of MMP2 and MMP9. Molecular and Cellular Biochemistry. 376(1-2). 21–32. 62 indexed citations
17.
Yao, Yingmin. (2010). Construction of eukaryotic expression vector of wtp53/junB fusion gene. Xi'an Jiaotong Daxue xuebao. 1 indexed citations
18.
19.
Deng, Mingyu, Yingmin Yao, Yong Zhang, & Qi Shen. (2004). A first oxalamidino complex of samarium via reduction-coupling of carbodiimine: synthesis and molecular structure of [η4-C2(NR)4][(MeC5H4)2Sm(HMPA)]2·2THF (R = Pri, Cy). Chemical Communications. 2742–2743. 38 indexed citations
20.
Wang, Zifa, Chang Liu, Yi Lu, et al.. (2004). Dexamethasone and dextran 40 treatment of 32 patients with severe acute pancreatitis. World Journal of Gastroenterology. 10(9). 1333–1333. 20 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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