Junmei Ai

1.4k total citations
20 papers, 754 citations indexed

About

Junmei Ai is a scholar working on Molecular Biology, Cancer Research and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Junmei Ai has authored 20 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Cancer Research and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Junmei Ai's work include Cancer-related molecular mechanisms research (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and MicroRNA in disease regulation (6 papers). Junmei Ai is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and MicroRNA in disease regulation (6 papers). Junmei Ai collaborates with scholars based in United States, China and Hong Kong. Junmei Ai's co-authors include Youping Deng, Jinghe Mao, Hankui Chen, Ruth Welti, Xinchun Zhou, Steven A. Bigler, Shengming Dai, Jeffrey R. Henegar, Mary R. Roth and Charles R. Pound and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Analytical Chemistry.

In The Last Decade

Junmei Ai

20 papers receiving 742 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junmei Ai United States 17 583 374 114 65 63 20 754
Erik Peter Germany 10 477 0.8× 172 0.5× 102 0.9× 18 0.3× 78 1.2× 12 743
Ana Gomes Portugal 9 531 0.9× 225 0.6× 130 1.1× 18 0.3× 106 1.7× 20 759
Alicja Pakiet Poland 11 377 0.6× 279 0.7× 50 0.4× 110 1.7× 38 0.6× 23 641
Henrik Carlsson Sweden 16 284 0.5× 111 0.3× 68 0.6× 31 0.5× 70 1.1× 30 641
Zhuozhong Wang China 10 421 0.7× 230 0.6× 88 0.8× 10 0.2× 112 1.8× 25 618
Atsuki Ikeda Japan 8 487 0.8× 261 0.7× 99 0.9× 21 0.3× 155 2.5× 14 732
David Balgoma Sweden 17 474 0.8× 97 0.3× 49 0.4× 251 3.9× 109 1.7× 33 907
Chang Shao China 11 398 0.7× 173 0.5× 40 0.4× 16 0.2× 57 0.9× 25 603
Jason L. Walther United States 10 627 1.1× 134 0.4× 118 1.0× 32 0.5× 14 0.2× 11 862
Zixin Zhu China 13 306 0.5× 138 0.4× 25 0.2× 17 0.3× 144 2.3× 22 668

Countries citing papers authored by Junmei Ai

Since Specialization
Citations

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

Fields of papers citing papers by Junmei Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junmei Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Junmei Ai. A scholar is included among the top collaborators of Junmei Ai 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 Junmei Ai. Junmei Ai 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.
Chen, Xiaoli, Yong Zhu, Mayumi Jijiwa, et al.. (2020). Identification of plasma lipid species as promising diagnostic markers for prostate cancer. BMC Medical Informatics and Decision Making. 20(S9). 223–223. 18 indexed citations
2.
Fu, Yuanyuan, et al.. (2020). Development of predicitve models to distinguish metals from non-metal toxicants, and individual metal from one another. BMC Bioinformatics. 21(S9). 239–239. 1 indexed citations
3.
Fang, Rui, Yong Zhu, Ling Hu, et al.. (2019). Plasma MicroRNA Pair Panels as Novel Biomarkers for Detection of Early Stage Breast Cancer. Frontiers in Physiology. 9. 1879–1879. 48 indexed citations
4.
Deng, Youping, Yong Zhu, Hongwei Wang, et al.. (2019). Ratio-Based Method To Identify True Biomarkers by Normalizing Circulating ncRNA Sequencing and Quantitative PCR Data. Analytical Chemistry. 91(10). 6746–6753. 22 indexed citations
5.
Dou, Yuhong, Yong Zhu, Junmei Ai, et al.. (2018). Plasma small ncRNA pair panels as novel biomarkers for early-stage lung adenocarcinoma screening. BMC Genomics. 19(1). 545–545. 18 indexed citations
6.
Chen, Hankui, Yong Zhu, Junmei Ai, et al.. (2018). Global lipidomics reveals two plasma lipids as novel biomarkers for the detection of squamous cell lung cancer: A pilot study. Oncology Letters. 16(1). 761–768. 21 indexed citations
7.
Chen, Hankui, Junmei Ai, Yong Zhu, et al.. (2017). Global lipidomics identified plasma lipids as novel biomarkers for early detection of lung cancer. Oncotarget. 8(64). 107899–107906. 43 indexed citations
8.
Chen, Hankui, Helu Liu, Rui Chen, et al.. (2016). Evaluation of Plasma miR-21 and miR-152 as Diagnostic Biomarkers for Common Types of Human Cancers. Journal of Cancer. 7(5). 490–499. 60 indexed citations
9.
Hu, Ling, Junmei Ai, Hui Long, et al.. (2016). Integrative microRNA and gene profiling data analysis reveals novel biomarkers and mechanisms for lung cancer. Oncotarget. 7(8). 8441–8454. 46 indexed citations
10.
Chen, Xiaoli, Hankui Chen, Meiyu Dai, et al.. (2016). Plasma lipidomics profiling identified lipid biomarkers in distinguishing early-stage breast cancer from benign lesions. Oncotarget. 7(24). 36622–36631. 94 indexed citations
11.
Wei, Xiaomou, Junmei Ai, Youping Deng, et al.. (2014). Identification of biomarkers that distinguish chemical contaminants based on gene expression profiles. BMC Genomics. 15(1). 248–248. 20 indexed citations
12.
Deng, Youping, Junmei Ai, Xin‐Yuan Guan, et al.. (2014). MicroRNA and messenger RNA profiling reveals new biomarkers and mechanisms for RDX induced neurotoxicity. BMC Genomics. 15(S11). S1–S1. 37 indexed citations
13.
Deng, Youping, Hankui Chen, Helu Liu, et al.. (2014). Circulating microRNA profiling for early detection of non-small cell lung cancer.. Journal of Clinical Oncology. 32(15_suppl). e22051–e22051. 2 indexed citations
14.
Zhao, Chen, Jinghe Mao, Junmei Ai, et al.. (2013). Integrated lipidomics and transcriptomic analysis of peripheral blood reveals significantly enriched pathways in type 2 diabetes mellitus. BMC Medical Genomics. 6(S1). S12–S12. 50 indexed citations
15.
Melson, Joshua, Yan Li, Elisa Cassinotti, et al.. (2013). Commonality and differences of methylation signatures in the plasma of patients with pancreatic cancer and colorectal cancer. International Journal of Cancer. 134(11). 2656–2662. 21 indexed citations
16.
Zhou, Xinchun, Jinghe Mao, Junmei Ai, et al.. (2012). Identification of Plasma Lipid Biomarkers for Prostate Cancer by Lipidomics and Bioinformatics. PLoS ONE. 7(11). e48889–e48889. 168 indexed citations
17.
Mao, Jinghe, et al.. (2011). Transcriptomic profiles of peripheral white blood cells in type II diabetes and racial differences in expression profiles. BMC Genomics. 12(S5). S12–S12. 17 indexed citations
18.
Deng, Youping, Sharon A. Meyer, Xin‐Yuan Guan, et al.. (2011). Analysis of Common and Specific Mechanisms of Liver Function Affected by Nitrotoluene Compounds. PLoS ONE. 6(2). e14662–e14662. 31 indexed citations
19.
Deng, Youping, Junmei Ai, Xiaogang Wu, et al.. (2010). A new approach to construct pathway connected networks and its application in dose responsive gene expression profiles of rat liver regulated by 2,4DNT. BMC Genomics. 11(Suppl 3). S4–S4. 12 indexed citations
20.
Deng, Youping, et al.. (2010). In vitro gene regulatory networks predict in vivo function of liver. BMC Systems Biology. 4(1). 153–153. 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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