Jun Deng

728 total citations · 1 hit paper
30 papers, 460 citations indexed

About

Jun Deng is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jun Deng has authored 30 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Oncology and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jun Deng's work include Ferroptosis and cancer prognosis (7 papers), Hippo pathway signaling and YAP/TAZ (7 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Jun Deng is often cited by papers focused on Ferroptosis and cancer prognosis (7 papers), Hippo pathway signaling and YAP/TAZ (7 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Jun Deng collaborates with scholars based in China, United States and Netherlands. Jun Deng's co-authors include Jianping Xiong, Yangyang Yao, Xiaojun Xiang, Shanshan Huang, Yanting Liu, Wei Chen, Haibo Wang, Xuntao Yin, Zhengwei Mao and Hui Guo and has published in prestigious journals such as Advanced Materials, Journal of Clinical Oncology and Cellular and Molecular Life Sciences.

In The Last Decade

Jun Deng

29 papers receiving 452 citations

Hit Papers

Expanded ROS Generation and Hypoxia Reversal: Excipient‐f... 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Deng China 13 230 178 122 83 82 30 460
Marcin Ziętek Poland 12 200 0.9× 245 1.4× 137 1.1× 54 0.7× 104 1.3× 57 487
Lanqi Gong Hong Kong 11 269 1.2× 159 0.9× 132 1.1× 55 0.7× 151 1.8× 17 540
Liwei Song China 13 319 1.4× 125 0.7× 76 0.6× 97 1.2× 140 1.7× 21 502
Chunhui Zhou China 10 294 1.3× 158 0.9× 121 1.0× 72 0.9× 176 2.1× 29 564
Maria A. Voronkova United States 9 280 1.2× 119 0.7× 91 0.7× 56 0.7× 114 1.4× 15 452
Danni Li China 8 227 1.0× 227 1.3× 91 0.7× 39 0.5× 173 2.1× 17 480
Katheryn Begg United Kingdom 4 281 1.2× 163 0.9× 60 0.5× 82 1.0× 164 2.0× 7 505
Yi‐Jing Hsiao Taiwan 10 272 1.2× 187 1.1× 200 1.6× 107 1.3× 103 1.3× 16 520
Himalaya Parajuli Norway 10 274 1.2× 196 1.1× 69 0.6× 48 0.6× 136 1.7× 17 452
Priska Auf der Maur Switzerland 5 160 0.7× 240 1.3× 174 1.4× 54 0.7× 96 1.2× 6 412

Countries citing papers authored by Jun Deng

Since Specialization
Citations

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

Fields of papers citing papers by Jun Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Deng. A scholar is included among the top collaborators of Jun Deng 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 Jun Deng. Jun Deng 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, Jingyi, Wen Qin, Wei Jin, et al.. (2025). TMEM160 inhibits KEAP1 to suppress ferroptosis and induce chemoresistance in gastric cancer. Cell Death and Disease. 16(1). 287–287. 3 indexed citations
2.
Xu, Bingxin, et al.. (2025). Active pre-chamber structure optimization with vapor-air mixture supply for gasoline engine. Applied Thermal Engineering. 278. 127214–127214.
3.
Li, Xuan, Qianqian Shi, Wen Qin, et al.. (2024). YAP1-CPNE3 positive feedback pathway promotes gastric cancer cell progression. Cellular and Molecular Life Sciences. 81(1). 143–143. 2 indexed citations
4.
Dai, Xiaofeng, et al.. (2024). MDM2 inhibitors in cancer immunotherapy: Current status and perspective. Genes & Diseases. 11(6). 101279–101279. 10 indexed citations
5.
Peng, Mei, Jun Deng, & Xiangping Li. (2024). Clinical advances and challenges in targeting FGF/FGFR signaling in lung cancer. Molecular Cancer. 23(1). 256–256. 10 indexed citations
6.
Dai, Xiaofeng, Zhipeng Wu, Jingyi Chen, et al.. (2024). TMEM160 promotes tumor immune evasion and radiotherapy resistance via PD-L1 binding in colorectal cancer. Cell Communication and Signaling. 22(1). 168–168. 6 indexed citations
7.
Yin, Xuntao, et al.. (2024). Expanded ROS Generation and Hypoxia Reversal: Excipient‐free Self‐assembled Nanotheranostics for Enhanced Cancer Photodynamic Immunotherapy. Advanced Materials. 36(30). e2402720–e2402720. 68 indexed citations breakdown →
8.
Liu, Yifan, Zhimei Zhang, Tianpei Guan, et al.. (2024). Deep learning based digital pathology for predicting treatment response to first-line PD-1 blockade in advanced gastric cancer. Journal of Translational Medicine. 22(1). 438–438. 12 indexed citations
10.
Gan, Yu, Qian Hao, Tao Han, et al.. (2024). Targeting BRIX1 via Engineered Exosomes Induces Nucleolar Stress to Suppress Cancer Progression. Advanced Science. 11(47). e2407370–e2407370. 2 indexed citations
12.
Zhou, Ling, Hui Guo, Quan Liao, et al.. (2023). miR‐3133 inhibits gastrointestinal cancer progression through activation of Hippo and p53 signalling pathways via multi‐targets. Journal of Cellular and Molecular Medicine. 27(20). 3090–3106. 4 indexed citations
13.
Shi, Qianqian, Wen Qin, Jingyi Chen, et al.. (2023). Pan-cancer analysis reveals potential of FAM110A as a prognostic and immunological biomarker in human cancer. Frontiers in Immunology. 14. 1058627–1058627. 19 indexed citations
14.
Yao, Yangyang, Zhen Liu, Shanshan Huang, et al.. (2022). The E3 ubiquitin ligase, FBXW5, promotes the migration and invasion of gastric cancer through the dysregulation of the Hippo pathway. Cell Death Discovery. 8(1). 79–79. 32 indexed citations
15.
Chen, Jun, Qianfei Zuo, Ting Yu, et al.. (2022). Calreticulin enhances gastric cancer metastasis by dimethylating H3K9 in the E-cadherin promoter region mediating by G9a. Oncogenesis. 11(1). 29–29. 12 indexed citations
16.
Zhong, Min, Ling Zhou, Zhi Fang, et al.. (2021). Ubiquitin-specific protease 15 contributes to gastric cancer progression by regulating the Wnt/β-catenin signaling pathway. World Journal of Gastroenterology. 27(26). 4221–4235. 26 indexed citations
17.
Li, Li, Shanshan Huang, Yangyang Yao, et al.. (2020). Follistatin-like 1 (FSTL1) is a prognostic biomarker and correlated with immune cell infiltration in gastric cancer. World Journal of Surgical Oncology. 18(1). 324–324. 16 indexed citations
18.
Yao, Yangyang, Zhen Liu, Yuan Cao, et al.. (2020). Downregulation of TRIM27 suppresses gastric cancer cell proliferation via inhibition of the Hippo-BIRC5 pathway. Pathology - Research and Practice. 216(9). 153048–153048. 13 indexed citations
19.
Yao, Yangyang, Zhen Liu, Hui Guo, et al.. (2018). Elevated TRIM23 expression predicts poor prognosis in Chinese gastric cancer. Pathology - Research and Practice. 214(12). 2062–2068. 22 indexed citations
20.
Deng, Jun, et al.. (2017). A new strategy for repairing large bone defects using an interventional micro-circulation system. Biomedical Research-tokyo. 28(7). 3266–3270. 1 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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