Jiao Feng

7.7k total citations · 3 hit papers
153 papers, 5.6k citations indexed

About

Jiao Feng is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jiao Feng has authored 153 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Molecular Biology, 41 papers in Cancer Research and 38 papers in Oncology. Recurrent topics in Jiao Feng's work include Liver Disease Diagnosis and Treatment (20 papers), Pancreatic and Hepatic Oncology Research (15 papers) and RNA modifications and cancer (15 papers). Jiao Feng is often cited by papers focused on Liver Disease Diagnosis and Treatment (20 papers), Pancreatic and Hepatic Oncology Research (15 papers) and RNA modifications and cancer (15 papers). Jiao Feng collaborates with scholars based in China, United States and Macao. Jiao Feng's co-authors include Chuanyong Guo, Liwei Wu, Jingjing Li, Weiqi Dai, Qiang Yu, Jianye Wu, Sainan Li, Kan Chen, Ting Han and Yingqun Zhou and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jiao Feng

148 papers receiving 5.5k citations

Hit Papers

Emerging roles and the re... 2020 2026 2022 2024 2020 2022 2023 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiao Feng China 40 3.0k 1.8k 1.1k 1.0k 597 153 5.6k
Shangha Pan China 47 3.0k 1.0× 1.2k 0.6× 843 0.8× 740 0.7× 328 0.5× 121 5.3k
Tian Lan China 38 2.3k 0.8× 892 0.5× 587 0.6× 920 0.9× 565 0.9× 134 4.5k
Jingjing Li China 40 2.1k 0.7× 1.1k 0.6× 480 0.5× 1.3k 1.2× 754 1.3× 137 4.7k
Zili Zhang China 41 2.5k 0.8× 1.2k 0.7× 402 0.4× 1.4k 1.3× 734 1.2× 132 5.1k
Amedeo Columbano Italy 46 3.7k 1.2× 1.7k 0.9× 995 0.9× 1.2k 1.1× 1.4k 2.3× 157 6.6k
Jiangjuan Shao China 41 2.2k 0.7× 1.1k 0.6× 362 0.3× 1.6k 1.5× 969 1.6× 114 4.8k
Matthias Ocker Germany 39 2.9k 1.0× 626 0.3× 1.1k 1.0× 574 0.6× 302 0.5× 161 5.0k
Huijun Sun China 45 2.4k 0.8× 572 0.3× 1.3k 1.2× 1.0k 1.0× 328 0.5× 198 6.1k
Na Lu China 50 4.3k 1.4× 1.4k 0.8× 1.5k 1.4× 601 0.6× 139 0.2× 199 7.7k
Xiaoni Kong China 32 1.7k 0.6× 515 0.3× 645 0.6× 1.3k 1.2× 902 1.5× 114 4.4k

Countries citing papers authored by Jiao Feng

Since Specialization
Citations

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

Fields of papers citing papers by Jiao Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiao Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Jiao Feng. A scholar is included among the top collaborators of Jiao Feng 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 Jiao Feng. Jiao Feng 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.
Wang, Zhenqian, et al.. (2024). Causal association of blood lipids with all-cause and cause-specific mortality risk: a Mendelian randomization study. Journal of Lipid Research. 65(4). 100528–100528. 7 indexed citations
2.
Huang, Wei, You Zhang, Yanfei Wu, et al.. (2024). ImmunoPET imaging of Trop2 in patients with solid tumours. EMBO Molecular Medicine. 16(5). 1143–1161. 26 indexed citations
4.
Feng, Jiao, et al.. (2023). Genome-Wide Characterization of Soybean Hexokinase Genes Reveals a Positive Role of GmHXK15 in Alkali Stress Response. Plants. 12(17). 3121–3121. 10 indexed citations
5.
Zheng, Yuanyuan, Wenjuan Yang, Yewei Jia, et al.. (2023). Promotion of colorectal cancer cell death by ezetimibe via mTOR signaling-dependent mitochondrial dysfunction. Frontiers in Pharmacology. 14. 1081980–1081980. 4 indexed citations
6.
7.
He, Xiaoqian, Jiao Feng, Sheng‐Lei Yan, et al.. (2020). Biomimetic microbioreactor-supramolecular nanovesicles improve enzyme therapy of hepatic cancer. Nanomedicine Nanotechnology Biology and Medicine. 31. 102311–102311. 5 indexed citations
8.
Xu, Shizan, Yuqing Mao, Jianye Wu, et al.. (2020). TGF‐β/Smad and JAK/STAT pathways are involved in the anti‐fibrotic effects of propylene glycol alginate sodium sulphate on hepatic fibrosis. Journal of Cellular and Molecular Medicine. 24(9). 5224–5237. 42 indexed citations
9.
Huang, Xingxing, Ting Pan, Lili Yan, et al.. (2020). The inflammatory microenvironment and the urinary microbiome in the initiation and progression of bladder cancer. Genes & Diseases. 8(6). 781–797. 24 indexed citations
10.
Liu, Tong, Sainan Li, Liwei Wu, et al.. (2020). <p>Experimental Study of Hepatocellular Carcinoma Treatment by Shikonin Through Regulating PKM2</p>. Journal of Hepatocellular Carcinoma. Volume 7. 19–31. 49 indexed citations
11.
Feng, Jiao, Ting Han, Cuncun Yuan, et al.. (2020). Caveolin-2 is regulated by BRD4 and contributes to cell growth in pancreatic cancer. Cancer Cell International. 20(1). 22 indexed citations
12.
Yu, Qiang, Liwei Wu, Jie Ji, et al.. (2020). <p>Gut Microbiota, Peroxisome Proliferator-Activated Receptors, and Hepatocellular Carcinoma</p>. Journal of Hepatocellular Carcinoma. Volume 7. 271–288. 19 indexed citations
13.
Cui, Jiujie, Zhuqing Zhou, Haiyan Yang, et al.. (2019). MST1 Suppresses Pancreatic Cancer Progression via ROS-Induced Pyroptosis. Molecular Cancer Research. 17(6). 1316–1325. 101 indexed citations
14.
Wang, Wenwen, Liwei Wu, Jingjing Li, et al.. (2019). Alleviation of Hepatic Ischemia Reperfusion Injury by Oleanolic Acid Pretreating via Reducing HMGB1 Release and Inhibiting Apoptosis and Autophagy. Mediators of Inflammation. 2019. 1–10. 39 indexed citations
15.
Feng, Jiao, Tong Liu, Xiya Lu, et al.. (2018). Beraprost sodium preconditioning prevents inflammation, apoptosis, and autophagy during hepatic ischemia-reperfusion injury in mice via the P38 and JNK pathways. Drug Design Development and Therapy. Volume 12. 4067–4082. 27 indexed citations
16.
Yu, Qiang, Tong Liu, Sainan Li, et al.. (2018). The Protective Effects of Levo-Tetrahydropalmatine on ConA-Induced Liver Injury Are via TRAF6/JNK Signaling. Mediators of Inflammation. 2018. 1–15. 31 indexed citations
17.
Wu, Liwei, Qinghui Zhang, Weiqi Dai, et al.. (2017). Quercetin Pretreatment Attenuates Hepatic Ischemia Reperfusion-Induced Apoptosis and Autophagy by Inhibiting ERK/NF-κB Pathway. Gastroenterology Research and Practice. 2017. 1–15. 36 indexed citations
19.
Liu, Tong, Yujing Xia, Jingjing Li, et al.. (2016). Shikonin Attenuates Concanavalin A-Induced Acute Liver Injury in Mice via Inhibition of the JNK Pathway. Mediators of Inflammation. 2016. 1–14. 56 indexed citations
20.
Hu, Hai, Junjie Hang, Ting Han, et al.. (2016). The M2 phenotype of tumor-associated macrophages in the stroma confers a poor prognosis in pancreatic cancer. Tumor Biology. 37(7). 8657–8664. 140 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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