Ming Yao

2.8k total citations
68 papers, 2.3k citations indexed

About

Ming Yao is a scholar working on Oncology, Molecular Biology and Pharmacology. According to data from OpenAlex, Ming Yao has authored 68 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Oncology, 23 papers in Molecular Biology and 13 papers in Pharmacology. Recurrent topics in Ming Yao's work include Drug Transport and Resistance Mechanisms (17 papers), Pharmacogenetics and Drug Metabolism (10 papers) and Analytical Chemistry and Chromatography (5 papers). Ming Yao is often cited by papers focused on Drug Transport and Resistance Mechanisms (17 papers), Pharmacogenetics and Drug Metabolism (10 papers) and Analytical Chemistry and Chromatography (5 papers). Ming Yao collaborates with scholars based in United States, China and Germany. Ming Yao's co-authors include Saeho Chong, Richard A. Morrison, Hongjian Zhang, Mingshe Zhu, W. Griffith Humphreys, Nuggehally R. Srinivas, Li Ma, Jinjun Li, Sreeneeranj Kasichayanula and Jianren Gu and has published in prestigious journals such as Analytical Chemistry, Journal of Power Sources and ACS Applied Materials & Interfaces.

In The Last Decade

Ming Yao

65 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Yao United States 23 936 544 380 317 239 68 2.3k
Shu Zhou China 27 1.1k 1.2× 505 0.9× 295 0.8× 377 1.2× 57 0.2× 86 2.8k
Hua Yu China 33 1.8k 1.9× 347 0.6× 347 0.9× 400 1.3× 113 0.5× 121 3.9k
Bo Ma China 32 1.8k 1.9× 755 1.4× 408 1.1× 166 0.5× 315 1.3× 119 3.5k
Wei Han China 28 944 1.0× 538 1.0× 179 0.5× 129 0.4× 68 0.3× 128 2.6k
Matthew C. Wright United Kingdom 33 923 1.0× 622 1.1× 250 0.7× 622 2.0× 229 1.0× 104 3.7k
Rong Sun China 32 1.4k 1.5× 488 0.9× 326 0.9× 471 1.5× 82 0.3× 170 3.2k
Thomas E. Mürdter Germany 31 943 1.0× 926 1.7× 236 0.6× 845 2.7× 147 0.6× 109 3.2k
Xiaoqiang Xiang China 28 946 1.0× 590 1.1× 416 1.1× 334 1.1× 70 0.3× 106 2.5k
Jingjing Wu China 27 918 1.0× 325 0.6× 116 0.3× 547 1.7× 113 0.5× 98 2.2k
Paul Fitzpatrick United States 31 1.9k 2.1× 333 0.6× 245 0.6× 91 0.3× 68 0.3× 65 3.1k

Countries citing papers authored by Ming Yao

Since Specialization
Citations

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

Fields of papers citing papers by Ming Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Yao. A scholar is included among the top collaborators of Ming 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 Ming Yao. Ming 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.
Yao, Ming, Michael E. Smith, & Chengzhi Peng. (2025). Modelling the effects of vegetation and urban form on air quality in real urban environments: A systematic review of measurements, methods, and predictions. Urban forestry & urban greening. 105. 128693–128693. 1 indexed citations
2.
Hui, Tianqian, Jian Zhou, Ming Yao, Ying Xie, & Hu Zeng. (2025). Advances in Spatial Omics Technologies. Small Methods. 9(5). e2401171–e2401171. 4 indexed citations
3.
4.
Zhang, Jiahao, Yongxin Wang, Zhiguo Jiang, et al.. (2024). Constructing Dynamic Anode/Electrolyte Interfaces Coupled with Regulated Solvation Structures for Long‐Term and Highly Reversible Zinc Metal Anodes. Angewandte Chemie. 136(22). 15 indexed citations
5.
Wang, Yuli, Ming Yao, Christopher E. Sims, & Nancy L. Allbritton. (2022). Monolithic Silica Microbands Enable Thin-Layer Chromatography Analysis of Single Cells. Analytical Chemistry. 94(39). 13489–13497. 3 indexed citations
6.
Yao, Ming, Tingting Cai, Eva Duchoslav, et al.. (2020). Software-aided detection and structural characterization of cyclic peptide metabolites in biological matrix by high-resolution mass spectrometry. Journal of Pharmaceutical Analysis. 10(3). 240–246. 6 indexed citations
7.
Zhao, Fangyu, Jing Li, Kechao Zhu, et al.. (2019). TBX2 Identified as a Potential Predictor of Bone Metastasis in Lung Adenocarcinoma via Integrated Bioinformatics Analyses and Verification of Functional Assay. Journal of Cancer. 11(2). 388–402. 7 indexed citations
8.
Li, Qian, Fanglei Zeng, Yuepeng Guan, et al.. (2018). Poly (dimethylsiloxane) modified lithium anode for enhanced performance of lithium-sulfur batteries. Energy storage materials. 13. 151–159. 109 indexed citations
9.
Huang, Yunping, Jinmei Fu, Richard Ludwig, et al.. (2017). Identification and quantification of signal peptide variants in an IgG1 monoclonal antibody produced in mammalian cell lines. Journal of Chromatography B. 1068-1069. 193–200. 8 indexed citations
10.
Wang, Cun, Haojie Jin, Ning Wang, et al.. (2016). Gas6/Axl Axis Contributes to Chemoresistance and Metastasis in Breast Cancer through Akt/GSK-3β/β-catenin Signaling. Theranostics. 6(8). 1205–1219. 123 indexed citations
11.
Hou, Helei, Hefen Sun, Ping Lü, et al.. (2013). Tunicamycin Potentiates Cisplatin Anticancer Efficacy through the DPAGT1/Akt/ABCG2 Pathway in Mouse Xenograft Models of Human Hepatocellular Carcinoma. Molecular Cancer Therapeutics. 12(12). 2874–2884. 56 indexed citations
12.
Hong, Haizheng, Hong Su, Li Ma, et al.. (2011). In Vitro Characterization of the Metabolic Pathways and Cytochrome P450 Inhibition and Induction Potential of BMS-690514, an ErbB/Vascular Endothelial Growth Factor Receptor Inhibitor. Drug Metabolism and Disposition. 39(9). 1658–1667. 10 indexed citations
13.
Liu, Huiqing, A. Rose Brannon, Anupama Reddy, et al.. (2010). Identifying mRNA targets of microRNA dysregulated in cancer: with application to clear cell Renal Cell Carcinoma. BMC Systems Biology. 4(1). 51–51. 205 indexed citations
14.
Wang, Lifei, Donglu Zhang, Nirmala Raghavan, et al.. (2009). In Vitro Assessment of Metabolic Drug-Drug Interaction Potential of Apixaban through Cytochrome P450 Phenotyping, Inhibition, and Induction Studies. Drug Metabolism and Disposition. 38(3). 448–458. 212 indexed citations
15.
Yao, Ming, Li Ma, W. Griffith Humphreys, & Mingshe Zhu. (2008). Rapid screening and characterization of drug metabolites using a multiple ion monitoring–dependent MS/MS acquisition method on a hybrid triple quadrupole‐linear ion trap mass spectrometer. Journal of Mass Spectrometry. 43(10). 1364–1375. 62 indexed citations
16.
Yao, Ming & Nuggehally R. Srinivas. (2006). Liquid chromatography/mass spectrometry for the quantitation of muraglitazar in monkey plasma. Biomedical Chromatography. 20(10). 1017–1023. 1 indexed citations
17.
Zhang, Donglu, Lifei Wang, Nirmala Raghavan, et al.. (2006). Comparative Metabolism of Radiolabeled Muraglitazar in Animals and Humans by Quantitative and Qualitative Metabolite Profiling. Drug Metabolism and Disposition. 35(1). 150–167. 21 indexed citations
18.
Krishna, Rajesh, et al.. (2001). In vitro protein binding studies with BMS‐204352: lack of protein binding displacement interaction in human serum. Biopharmaceutics & Drug Disposition. 22(1). 41–44. 5 indexed citations
19.
20.
Liu, Yuying, Ming Yao, Jia‐Long Fang, & Yawen Wang. (1995). Monitoring human risk and exposure to trinitrotoluene (TNT) using haemoglobin adducts as biomarkers. Toxicology Letters. 77(1-3). 281–287. 21 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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