Ya-Ming Meng

665 total citations
10 papers, 404 citations indexed

About

Ya-Ming Meng is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Ya-Ming Meng has authored 10 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Immunology. Recurrent topics in Ya-Ming Meng's work include Pancreatic and Hepatic Oncology Research (2 papers), Immune cells in cancer (2 papers) and Chemokine receptors and signaling (2 papers). Ya-Ming Meng is often cited by papers focused on Pancreatic and Hepatic Oncology Research (2 papers), Immune cells in cancer (2 papers) and Chemokine receptors and signaling (2 papers). Ya-Ming Meng collaborates with scholars based in China and United States. Ya-Ming Meng's co-authors include Limin Zheng, Xing-Juan Yu, Jing Xu, Ping‐Pui Wong, Xiangzhan Kong, Xinbao Zhao, Qiong Meng, Chaoqun Liu, Yaojun Zhang and Zhongguo Zhou and has published in prestigious journals such as Nature Communications, Clinical Cancer Research and Human Reproduction.

In The Last Decade

Ya-Ming Meng

10 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ya-Ming Meng China 8 200 152 127 115 55 10 404
Na Zhou China 14 266 1.3× 156 1.0× 99 0.8× 223 1.9× 55 1.0× 33 488
Mitsuyo Yoshida Japan 12 167 0.8× 121 0.8× 92 0.7× 108 0.9× 18 0.3× 20 354
T Ogawa Japan 6 269 1.3× 146 1.0× 112 0.9× 113 1.0× 43 0.8× 7 447
Eun Ji Choi South Korea 11 179 0.9× 83 0.5× 49 0.4× 81 0.7× 33 0.6× 24 331
Alexander Hamm Germany 5 209 1.0× 116 0.8× 88 0.7× 91 0.8× 44 0.8× 9 385
Tongmei Zhang China 11 138 0.7× 219 1.4× 62 0.5× 123 1.1× 96 1.7× 49 389
Yanling Fan China 9 249 1.2× 130 0.9× 50 0.4× 101 0.9× 61 1.1× 11 384
Meng Xie China 11 282 1.4× 127 0.8× 100 0.8× 205 1.8× 95 1.7× 21 459
Isabella Y. Fan Canada 6 93 0.5× 163 1.1× 244 1.9× 94 0.8× 79 1.4× 11 382
Kezhuo Yu China 3 240 1.2× 278 1.8× 306 2.4× 108 0.9× 80 1.5× 3 547

Countries citing papers authored by Ya-Ming Meng

Since Specialization
Citations

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

Fields of papers citing papers by Ya-Ming Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ya-Ming Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Ya-Ming Meng. A scholar is included among the top collaborators of Ya-Ming Meng 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 Ya-Ming Meng. Ya-Ming Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Chen, Jiali, Katia Bouchekioua‐Bouzaghou, Ya-Ming Meng, et al.. (2023). Immunization with a multi-antigen targeted DNA vaccine eliminates chemoresistant pancreatic cancer by disrupting tumor-stromal cell crosstalk. Journal of Translational Medicine. 21(1). 702–702. 10 indexed citations
2.
Zeng, Ming, et al.. (2023). Effect of blastocyst quality on human sex ratio at birth in a single blastocyst frozen thawed embryo transfer cycle. Gynecological Endocrinology. 39(1). 2216787–2216787. 3 indexed citations
3.
Zheng, Wei, Jiawen Wang, Qing Ji, et al.. (2023). An epitope encoded by uORF of RNF10 elicits a therapeutic anti-tumor immune response. Molecular Therapy — Oncolytics. 31. 100737–100737. 5 indexed citations
4.
Wu, Yixuan, Mingzhu Cao, Qing Huang, et al.. (2022). Inactivated COVID-19 vaccination does not affect in vitro fertilization outcomes in women. Human Reproduction. 37(9). 2054–2062. 23 indexed citations
5.
Meng, Ya-Ming, Xue Jiang, Xinbao Zhao, et al.. (2021). Hexokinase 2-driven glycolysis in pericytes activates their contractility leading to tumor blood vessel abnormalities. Nature Communications. 12(1). 6011–6011. 82 indexed citations
6.
Meng, Qiong, Xueting Hu, Xinbao Zhao, et al.. (2021). A circular network of coregulated sphingolipids dictates lung cancer growth and progression. EBioMedicine. 66. 103301–103301. 33 indexed citations
7.
Chen, Yitian, Liangping Su, Cheng Huang, et al.. (2020). Galactosyltransferase B4GALT1 confers chemoresistance in pancreatic ductal adenocarcinomas by upregulating N-linked glycosylation of CDK11p110. Cancer Letters. 500. 228–243. 33 indexed citations
8.
Xiao, Gang, Chaoqun Liu, Yongchun Wang, et al.. (2019). EZH2 negatively regulates PD-L1 expression in hepatocellular carcinoma. Journal for ImmunoTherapy of Cancer. 7(1). 300–300. 135 indexed citations
9.
Xu, Jing, Jing Liang, Ya-Ming Meng, et al.. (2017). Vascular CXCR4 Expression Promotes Vessel Sprouting and Sensitivity to Sorafenib Treatment in Hepatocellular Carcinoma. Clinical Cancer Research. 23(15). 4482–4492. 42 indexed citations
10.
Meng, Ya-Ming, Jing Liang, Chong Wu, et al.. (2017). Monocytes/Macrophages promote vascular CXCR4 expression via the ERK pathway in hepatocellular carcinoma. OncoImmunology. 7(3). e1408745–e1408745. 38 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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