Yang Fu

489 total citations
18 papers, 359 citations indexed

About

Yang Fu is a scholar working on Cancer Research, Molecular Biology and Surgery. According to data from OpenAlex, Yang Fu has authored 18 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cancer Research, 12 papers in Molecular Biology and 3 papers in Surgery. Recurrent topics in Yang Fu's work include RNA modifications and cancer (9 papers), Cancer-related molecular mechanisms research (9 papers) and MicroRNA in disease regulation (5 papers). Yang Fu is often cited by papers focused on RNA modifications and cancer (9 papers), Cancer-related molecular mechanisms research (9 papers) and MicroRNA in disease regulation (5 papers). Yang Fu collaborates with scholars based in China, United States and Slovakia. Yang Fu's co-authors include Ge Yang, Xiefu Zhang, Yang Yu, Jianwu Jiang, Xiaoyan Lu, Hongtao Dong, Menghua Wang, Yanwei Ye, Ya Cao and Zigang Dong and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Oncotarget.

In The Last Decade

Yang Fu

15 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yang Fu China	12	282	238	54	33	25	18	359
Xiangqiong Mo China	7	225 0.8×	121 0.5×	65 1.2×	40 1.2×	67 2.7×	7	362
Zhaojie Lv China	12	273 1.0×	245 1.0×	52 1.0×	44 1.3×	43 1.7×	12	381
Feiye Liu China	9	213 0.8×	148 0.6×	44 0.8×	19 0.6×	23 0.9×	13	294
Pailan Peng China	10	193 0.7×	147 0.6×	69 1.3×	34 1.0×	97 3.9×	17	334
Xuling Sun China	7	178 0.6×	85 0.4×	60 1.1×	31 0.9×	31 1.2×	8	277
Chunjuan Zhao China	9	257 0.9×	194 0.8×	46 0.9×	25 0.8×	44 1.8×	12	360
Nanhong Tang China	11	211 0.7×	173 0.7×	102 1.9×	80 2.4×	40 1.6×	18	391
Qingjiang Chen China	9	236 0.8×	161 0.7×	86 1.6×	29 0.9×	25 1.0×	27	358
Vaishnavi Nathan Australia	5	200 0.7×	134 0.6×	110 2.0×	26 0.8×	56 2.2×	9	316
Xiaochuang Feng China	7	216 0.8×	139 0.6×	71 1.3×	33 1.0×	48 1.9×	16	310

Countries citing papers authored by Yang Fu

Since Specialization

Citations

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

Fields of papers citing papers by Yang Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Fu. A scholar is included among the top collaborators of Yang Fu 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 Yang Fu. Yang Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Li, Jiehan, Ge Zhang, Yizheng Zhang, et al.. (2025). Decreased M6A Modification Promotes Progression of Gastrointestinal Stromal Tumor and KIT‐Derived Imatinib Resistance Through FTO‐Regulated Axis. EUR Research Repository (Erasmus University Rotterdam). 4(4).

Su, Chang, Ruihua Zhao, Quanbo Zhou, et al.. (2025). Neoadjuvant PD-1 blockade in mismatch repair-deficient or microsatellite instability-high, locally advanced and resectable colorectal cancer: A retrospective real-world analysis.. Journal of Clinical Oncology. 43(4_suppl). 185–185.

Fang, Fang, et al.. (2025). Bioinformatic methods uncover 5 diagnostic biomarkers associated with drug resistance and metastasis for gastrointestinal stromal tumor. Current Pharmaceutical Analysis. 21(2). 67–76. 2 indexed citations

Zhu, Li, et al.. (2024). The mechanism of lovastatin in suppressing the proliferation of esophageal squamous cell carcinoma based on proteomics. The Journal of Gene Medicine. 26(8). e3722–e3722.

Yu, Xiaobo, et al.. (2020). LncRNA TMPO-AS1 facilitates the proliferation and metastasis of NSCLC cells by up-regulating ERBB2 via sponging miR-204-3p. International Journal of Immunopathology and Pharmacology. 34. 1682196195–1682196195. 14 indexed citations

Zhang, Yizheng, Tong Li, Yang Yu, et al.. (2020). Competing endogenous RNA network analysis reveals potential long non‑coding RNAs as predictive biomarkers of gastric cancer. Oncology Letters. 19(3). 2185–2196. 12 indexed citations

Fu, Yang, Yizheng Zhang, Ge Yang, et al.. (2020). SNP rs12982687 affects binding capacity of lncRNA UCA1 with miR-873-5p: involvement in smoking-triggered colorectal cancer progression. Cell Communication and Signaling. 18(1). 37–37. 30 indexed citations

Fu, Yang, Ge Yang, Yang Yu, et al.. (2019). Small nucleolar RNA host gene 1 promotes development and progression of colorectal cancer through negative regulation of miR‐137. Molecular Carcinogenesis. 58(11). 2104–2117. 22 indexed citations

Jiang, Jianwu, Wei Chang, Yang Fu, et al.. (2019). SAV1, regulated by microRNA-21, suppresses tumor growth in colorectal cancer. Biochemistry and Cell Biology. 97(2). 91–99. 16 indexed citations

10.

Liu, Qi, Jianwu Jiang, Yang Fu, et al.. (2018). MiR-129-5p functions as a tumor suppressor in gastric cancer progression through targeting ADAM9. Biomedicine & Pharmacotherapy. 105. 420–427. 32 indexed citations

11.

Yang, Ge, et al.. (2018). LncRNA HOTAIR/miR‐613/c‐met axis modulated epithelial‐mesenchymal transition of retinoblastoma cells. Journal of Cellular and Molecular Medicine. 22(10). 5083–5096. 45 indexed citations

12.

Yang, Ge, et al.. (2017). miR106b regulates retinoblastoma Y79 cells through Runx3. Oncology Reports. 38(5). 3039–3043. 12 indexed citations

13.

Qin, Yiyu, Meng Li, Yang Fu, et al.. (2017). SNORA74B gene silencing inhibits gallbladder cancer cells by inducing PHLPP and suppressing Akt/mTOR signaling. Oncotarget. 8(12). 19980–19996. 24 indexed citations

14.

Fu, Yang, et al.. (2016). Retrospective analysis of 85 cases of intermediate-risk gastrointestinal stromal tumor. Oncotarget. 8(6). 10136–10144. 11 indexed citations

15.

Wang, Guojun, Yang Fu, Guang‐Hui Liu, Yanwei Ye, & Xiefu Zhang. (2016). miR-218 Inhibits Proliferation, Migration, and EMT of Gastric Cancer Cells by Targeting WASF3. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 25(3). 355–364. 31 indexed citations

16.

Liu, Tao, Yanwei Ye, Xiefu Zhang, et al.. (2015). Downregulation of non-muscle myosin IIA expression inhibits migration and invasion of gastric cancer cells via the c-Jun N-terminal kinase signaling pathway. Molecular Medicine Reports. 13(2). 1639–1644. 16 indexed citations

17.

Fu, Yang, Ge Yang, Feng Zhu, et al.. (2014). Abstract 778: Antioxidants decrease the apoptotic effect of 5-Fu in colon cancer by regulating Src-dependent caspase-7 phosphorylation. Cancer Research. 74(19_Supplement). 778–778. 1 indexed citations

18.

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

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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