Weiya Ma

9.8k total citations
150 papers, 8.3k citations indexed

About

Weiya Ma is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Weiya Ma has authored 150 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Molecular Biology, 52 papers in Physiology and 42 papers in Cellular and Molecular Neuroscience. Recurrent topics in Weiya Ma's work include Pain Mechanisms and Treatments (48 papers), Neuropeptides and Animal Physiology (35 papers) and Cancer-related Molecular Pathways (21 papers). Weiya Ma is often cited by papers focused on Pain Mechanisms and Treatments (48 papers), Neuropeptides and Animal Physiology (35 papers) and Cancer-related Molecular Pathways (21 papers). Weiya Ma collaborates with scholars based in United States, Canada and China. Weiya Ma's co-authors include Zigang Dong, Rémi Quirion, Ann M. Bode, Chuanshu Huang, James C. Eisenach, Mark A. Bisby, Feng Zhu, Qing‐Bai She, Yong‐Yeon Cho and Jean‐Guy Chabot and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Weiya Ma

148 papers receiving 8.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiya Ma United States 56 4.2k 2.3k 1.6k 1.1k 827 150 8.3k
Narayan G. Avadhani United States 54 6.8k 1.6× 2.2k 1.0× 871 0.5× 899 0.8× 600 0.7× 176 10.3k
William M. Pierce United States 54 5.2k 1.2× 3.2k 1.4× 842 0.5× 517 0.5× 438 0.5× 154 9.1k
Joaquı́n Jordán Spain 43 3.8k 0.9× 1.4k 0.6× 1.4k 0.9× 618 0.6× 307 0.4× 148 7.0k
Jia Luo United States 55 4.0k 0.9× 771 0.3× 935 0.6× 790 0.7× 779 0.9× 192 8.7k
Masamitsu Shimazawa Japan 56 4.8k 1.1× 1.1k 0.5× 1.2k 0.8× 616 0.6× 367 0.4× 382 11.2k
Simonetta Camandola United States 43 3.5k 0.8× 2.3k 1.0× 1.1k 0.7× 419 0.4× 281 0.3× 77 8.1k
Daniela Salvemini United States 45 2.7k 0.6× 2.9k 1.3× 1.1k 0.7× 636 0.6× 460 0.6× 136 7.6k
Nai‐Hong Chen China 53 4.4k 1.0× 1.0k 0.5× 1.1k 0.7× 442 0.4× 338 0.4× 305 9.4k
Theodore M. Kamenecka United States 45 4.0k 1.0× 2.1k 0.9× 900 0.6× 699 0.7× 166 0.2× 148 8.3k
Luke I. Szweda United States 60 6.6k 1.5× 2.9k 1.3× 727 0.5× 412 0.4× 994 1.2× 140 11.1k

Countries citing papers authored by Weiya Ma

Since Specialization
Citations

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

Fields of papers citing papers by Weiya Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiya Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Weiya Ma. A scholar is included among the top collaborators of Weiya Ma 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 Weiya Ma. Weiya Ma 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.
Zhang, Tianshun, Ruihua Bai, Qiushi Wang, et al.. (2019). Fluvastatin Inhibits HMG-CoA Reductase and Prevents Non–Small Cell Lung Carcinogenesis. Cancer Prevention Research. 12(12). 837–848. 24 indexed citations
2.
Zhang, Tianshun, Qiushi Wang, Ge Gao, et al.. (2018). The Ashitaba ( Angelica keiskei ) Chalcones 4-hydroxyderricin and Xanthoangelol Suppress Melanomagenesis By Targeting BRAF and PI3K. Cancer Prevention Research. 11(10). 607–620. 11 indexed citations
3.
Zykova, Tatyana A., Feng Zhu, Lei Wang, et al.. (2018). Targeting PRPK Function Blocks Colon Cancer Metastasis. Molecular Cancer Therapeutics. 17(5). 1101–1113. 15 indexed citations
4.
Bai, Fang, Kangdong Liu, Hui‐Liang Li, et al.. (2017). Veratramine modulates AP-1-dependent gene transcription by directly binding to programmable DNA. Nucleic Acids Research. 46(2). 546–557. 23 indexed citations
5.
Gao, Ge, Tianshun Zhang, Kanamata Reddy, et al.. (2017). ADA-07 Suppresses Solar Ultraviolet–Induced Skin Carcinogenesis by Directly Inhibiting TOPK. Molecular Cancer Therapeutics. 16(9). 1843–1854. 27 indexed citations
6.
Yao, Ke, Hanyong Chen, Kangdong Liu, et al.. (2014). Kaempferol Targets RSK2 and MSK1 to Suppress UV Radiation-Induced Skin Cancer. Cancer Prevention Research. 7(9). 958–967. 58 indexed citations
7.
Li, Wei, Cong Peng, Mee‐Hyun Lee, et al.. (2013). TRAF4 Is a Critical Molecule for Akt Activation in Lung Cancer. Cancer Research. 73(23). 6938–6950. 91 indexed citations
8.
Yao, Ke, Hanyong Chen, Mee‐Hyun Lee, et al.. (2013). Licochalcone A, a Natural Inhibitor of c-Jun N -Terminal Kinase 1. Cancer Prevention Research. 7(1). 139–149. 36 indexed citations
9.
Liu, Kangdong, Donghoon Yu, Yong‐Yeon Cho, et al.. (2013). Sunlight UV-Induced Skin Cancer Relies upon Activation of the p38α Signaling Pathway. Cancer Research. 73(7). 2181–2188. 53 indexed citations
10.
Xie, Hua, Mee‐Hyun Lee, Feng Zhu, et al.. (2012). Identification of an Aurora Kinase Inhibitor Specific for the Aurora B Isoform. Cancer Research. 73(2). 716–724. 26 indexed citations
11.
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13.
Qin, Jichao, Qin Yan, Mi Deng, et al.. (2008). Protein Phosphatase-2A Is a Target of Epigallocatechin-3-Gallate and Modulates p53-Bak Apoptotic Pathway. Cancer Research. 68(11). 4150–4162. 42 indexed citations
14.
Yao, Ke, Yong‐Yeon Cho, H. Robert Bergen, et al.. (2007). Nuclear Factor of Activated T3 Is a Negative Regulator of Ras-JNK1/2-AP-1–Induced Cell Transformation. Cancer Research. 67(18). 8725–8735. 15 indexed citations
15.
Mizuno, Hideya, Yong‐Yeon Cho, Feng Zhu, et al.. (2005). Theaflavin‐3, 3′‐digallate induces epidermal growth factor receptor downregulation. Molecular Carcinogenesis. 45(3). 204–212. 25 indexed citations
16.
Mizuno, Hideya, Yong‐Yeon Cho, Weiya Ma, Ann M. Bode, & Zigang Dong. (2005). Effects of MAP kinase inhibitors on epidermal growth factor‐induced neoplastic transformation of human keratinocytes. Molecular Carcinogenesis. 45(1). 1–9. 13 indexed citations
17.
Ma, Weiya, Yong Zhang, Carsten Bantel, & James C. Eisenach. (2004). Medium and large injured dorsal root ganglion cells increase TRPV-1, accompanied by increased α2C-adrenoceptor co-expression and functional inhibition by clonidine. Pain. 113(3). 386–394. 80 indexed citations
18.
Zhang, Yiguo, Ziming Dong, Ann M. Bode, et al.. (2001). Induction of EGFR-Dependent and EGFR-Independent Signaling Pathways by Ultraviolet A Irradiation. DNA and Cell Biology. 20(12). 769–779. 23 indexed citations
19.
Huang, Chuanshu, Weiya Ma, Jingxia Li, Stephen S. Hecht, & Zigang Dong. (1998). Essential role of p53 in phenethyl isothiocyanate-induced apoptosis.. PubMed. 58(18). 4102–6. 154 indexed citations
20.
Huang, Chuanshu, et al.. (1997). Inhibition of Ultraviolet B-induced Activator Protein-1 (AP-1) Activity by Aspirin in AP-1-Luciferase Transgenic Mice. Journal of Biological Chemistry. 272(42). 26325–26331. 125 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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