Jia Mai

2.0k total citations · 1 hit paper
36 papers, 1.2k citations indexed

About

Jia Mai is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Jia Mai has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Epidemiology. Recurrent topics in Jia Mai's work include Autophagy in Disease and Therapy (5 papers), Epigenetics and DNA Methylation (4 papers) and Marine Ecology and Invasive Species (3 papers). Jia Mai is often cited by papers focused on Autophagy in Disease and Therapy (5 papers), Epigenetics and DNA Methylation (4 papers) and Marine Ecology and Invasive Species (3 papers). Jia Mai collaborates with scholars based in China and Hong Kong. Jia Mai's co-authors include Rong Deng, Zhi‐Ling Li, Xiao‐Feng Zhu, Gong‐Kan Feng, Yuhong Chen, Yun Huang, Xuan Li, Ling Yang, Hongjian Xie and Xia Wang and has published in prestigious journals such as Nature Communications, Oncogene and Scientific Reports.

In The Last Decade

Jia Mai

32 papers receiving 1.2k citations

Hit Papers

Molecular mechanisms of platinum‑based chemotherapy resis... 2022 2026 2023 2024 2022 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Molecular mechanisms of platinum‑based chemotherapy resistance in ovarian cancer (Review)
    2022 163 citations Ling Yang, Hongjian Xie et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jia Mai China 15 707 348 241 238 198 36 1.2k
Takeshi Fukumoto Japan 21 926 1.3× 330 0.9× 264 1.1× 244 1.0× 130 0.7× 76 1.6k
Yanfen Hu United States 22 818 1.2× 350 1.0× 187 0.8× 162 0.7× 109 0.6× 67 1.3k
Ming You United States 16 1.0k 1.5× 339 1.0× 221 0.9× 470 2.0× 171 0.9× 33 1.6k
Candace A. Gilbert United States 13 765 1.1× 480 1.4× 107 0.4× 320 1.3× 141 0.7× 17 1.3k
Suraj Menon United Kingdom 15 969 1.4× 337 1.0× 191 0.8× 278 1.2× 81 0.4× 30 1.5k
Ignacio García‐Tuñón Spain 22 788 1.1× 386 1.1× 265 1.1× 224 0.9× 40 0.2× 45 1.5k
Wenzhi Shen China 23 781 1.1× 333 1.0× 257 1.1× 421 1.8× 69 0.3× 62 1.4k
Deepavali Chakravarti United States 13 1.0k 1.4× 574 1.6× 142 0.6× 500 2.1× 84 0.4× 17 1.7k
Alyssa E. Johnson United States 17 1.0k 1.4× 344 1.0× 157 0.7× 501 2.1× 112 0.6× 44 1.5k
Bin Gui China 21 850 1.2× 295 0.8× 111 0.5× 242 1.0× 109 0.6× 46 1.3k

Countries citing papers authored by Jia Mai

Since Specialization
Citations

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

Fields of papers citing papers by Jia Mai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Mai

This figure shows the co-authorship network connecting the top 25 collaborators of Jia Mai. A scholar is included among the top collaborators of Jia Mai 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 Jia Mai. Jia Mai 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.
Mai, Jia, et al.. (2025). Autonomous underwater vehicle fault diagnosis model based on a deep belief rule with attribute reliability. Ocean Engineering. 321. 120472–120472. 4 indexed citations
2.
Mai, Jia, Ling Yang, Min Wang, et al.. (2024). Elevated Serum Homocysteine Levels Impair Embryonic Neurodevelopment by Dysregulating the Heat Shock Proteins. Developmental Neurobiology. 85(1). e22958–e22958. 1 indexed citations
3.
Mai, Jia, Wei Fan, Wei He, Hai Huang, & Hailong Zhu. (2024). An Explainable Student Performance Prediction Method Based on Dual-Level Progressive Classification Belief Rule Base. Electronics. 13(22). 4358–4358.
4.
Zhang, Hai‐Liang, Bingxin Hu, Zhi‐Ling Li, et al.. (2024). TRPML1 triggers ferroptosis defense and is a potential therapeutic target in AKT-hyperactivated cancer. Science Translational Medicine. 16(753). eadk0330–eadk0330. 32 indexed citations
5.
Peng, Hui, Qian Jiang, Zhonglan Hu, et al.. (2024). Fe-HCOF-PEG2000 as a Hypoxia-Tolerant Photosensitizer to Trigger Ferroptosis and Enhance ROS-Based Cancer Therapy. International Journal of Nanomedicine. Volume 19. 10165–10183. 4 indexed citations
6.
Mai, Jia, et al.. (2024). A Method for Prediction and Analysis of Student Performance That Combines Multi-Dimensional Features of Time and Space. Mathematics. 12(22). 3597–3597. 3 indexed citations
7.
8.
9.
Zeng, Xiaoxu, et al.. (2023). Activation of CB1R alleviates central sensitization by regulating HCN2-pNR2B signaling in a chronic migraine rat model. The Journal of Headache and Pain. 24(1). 44–44. 11 indexed citations
10.
Mai, Jia, Ling Yang, Ting Sun, et al.. (2023). Therapeutic strategies targeting folate receptor α for ovarian cancer. Frontiers in Immunology. 14. 1254532–1254532. 31 indexed citations
11.
Wang, Wenxiang, et al.. (2023). The nexus of dynamic T cell states and immune checkpoint blockade therapy in the periphery and tumor microenvironment. Frontiers in Immunology. 14. 1267918–1267918. 6 indexed citations
12.
13.
Sun, Ting, Hui Peng, Liwei Ma, et al.. (2021). Autophagy-mediated negative feedback attenuates the oncogenic activity of YAP in pancreatic cancer. International Journal of Biological Sciences. 17(13). 3634–3645. 11 indexed citations
14.
Deng, Rong, Junhao Huang, Yan Wang, et al.. (2020). Disruption of super-enhancer-driven tumor suppressor gene RCAN1.4 expression promotes the malignancy of breast carcinoma. Molecular Cancer. 19(1). 122–122. 48 indexed citations
15.
Li, Zhi‐Ling, Hai‐Liang Zhang, Yun Huang, et al.. (2020). Autophagy deficiency promotes triple-negative breast cancer resistance to T cell-mediated cytotoxicity by blocking tenascin-C degradation. Nature Communications. 11(1). 3806–3806. 136 indexed citations
16.
Wu, Rui-Yan, Pengfei Kong, Liang-Ping Xia, et al.. (2019). Regorafenib Promotes Antitumor Immunity via Inhibiting PD-L1 and IDO1 Expression in Melanoma. Clinical Cancer Research. 25(14). 4530–4541. 80 indexed citations
17.
Mai, Jia, Guifang Guo, Yan‐Qun Xiang, et al.. (2019). Polo-Like Kinase 1 phosphorylates and stabilizes KLF4 to promote tumorigenesis in nasopharyngeal carcinoma. Theranostics. 9(12). 3541–3554. 30 indexed citations
18.
He, Qiu-ming, Lei Tan, Rui-Yan Wu, et al.. (2017). Overexpression of PTK6 predicts poor prognosis in bladder cancer patients. Journal of Cancer. 8(17). 3464–3473. 18 indexed citations
19.
Qin, Yunfei, Jia Mai, Jianbiao Li, et al.. (2012). Identification of small non-coding RNAs in the planarian Dugesia japonica via deep sequencing. Genomics. 99(5). 315–321. 8 indexed citations
20.
Qin, Yunfei, Huimin Fang, Qingnan Tian, et al.. (2011). Transcriptome profiling and digital gene expression by deep-sequencing in normal/regenerative tissues of planarian Dugesia japonica. Genomics. 97(6). 364–371. 58 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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