Feng Ye

5.5k total citations · 1 hit paper
123 papers, 3.8k citations indexed

About

Feng Ye is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Feng Ye has authored 123 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 52 papers in Cancer Research and 30 papers in Oncology. Recurrent topics in Feng Ye's work include Cancer-related molecular mechanisms research (26 papers), MicroRNA in disease regulation (22 papers) and Circular RNAs in diseases (12 papers). Feng Ye is often cited by papers focused on Cancer-related molecular mechanisms research (26 papers), MicroRNA in disease regulation (22 papers) and Circular RNAs in diseases (12 papers). Feng Ye collaborates with scholars based in China, United States and Australia. Feng Ye's co-authors include Xing Xie, Weiguo Lü, Hailin Tang, Xiaoyun Wan, Xiaoming Xie, Q. Richard Lu, Yuanming Shen, Fenfen Wang, Xinhua Xie and Jiansong Zhou and has published in prestigious journals such as Neuron, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Feng Ye

118 papers receiving 3.7k citations

Hit Papers

Inhibition of NF-κB signaling unveils novel strategies to... 2024 2026 2025 2024 10 20 30 40 50
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. Inhibition of NF-κB signaling unveils novel strategies to overcome drug resistance in cancers
    2024 54 citations Hailin Tang, Feng Ye 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
Feng Ye China 32 2.3k 1.8k 658 416 305 123 3.8k
Hrvoje Miletić Norway 40 2.5k 1.1× 1.4k 0.8× 1.1k 1.7× 444 1.1× 161 0.5× 118 5.3k
Yoshiki Murakumo Japan 38 3.3k 1.5× 849 0.5× 1.1k 1.6× 338 0.8× 408 1.3× 129 4.7k
Tim R. Fenton United Kingdom 27 2.7k 1.2× 1.3k 0.7× 1.2k 1.8× 503 1.2× 377 1.2× 51 4.8k
Johannes H. Schulte Germany 42 4.3k 1.9× 2.1k 1.1× 1.3k 1.9× 368 0.9× 205 0.7× 176 6.3k
Elena Binda Italy 22 2.2k 0.9× 1.0k 0.6× 1.7k 2.6× 204 0.5× 142 0.5× 35 4.2k
Hua Tian China 35 4.0k 1.8× 955 0.5× 1.7k 2.6× 439 1.1× 543 1.8× 121 5.9k
Lisa Oliver France 40 2.6k 1.2× 839 0.5× 838 1.3× 189 0.5× 168 0.6× 102 4.2k
Heidi Fiegl Austria 42 4.0k 1.8× 1.6k 0.9× 1.5k 2.3× 393 0.9× 281 0.9× 111 6.0k
Noriko Gotoh Japan 39 5.0k 2.2× 1.9k 1.1× 1.3k 1.9× 439 1.1× 218 0.7× 116 6.4k
Francesca Peruzzi United States 28 2.2k 0.9× 895 0.5× 605 0.9× 160 0.4× 168 0.6× 82 3.3k

Countries citing papers authored by Feng Ye

Since Specialization
Citations

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

Fields of papers citing papers by Feng Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Ye. A scholar is included among the top collaborators of Feng Ye 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 Feng Ye. Feng Ye 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
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Liu, Yan, Feng Ye, & Long Ma. (2024). The effect of budesonide combined with bifidobacteria and lactobacilli on lung function and gut microbiota of patients with chronic obstructive pulmonary disease. Pakistan Journal of Medical Sciences. 40(4). 695–700. 4 indexed citations
4.
5.
Xie, Zhongyu, Jiajie Lin, Wenhui Yu, et al.. (2023). The m6A methyltransferase METTL16 negatively regulates MCP1 expression in mesenchymal stem cells during monocyte recruitment. JCI Insight. 8(6). 9 indexed citations
6.
Ren, Shengnan, Yongli Dong, Weidong Ni, et al.. (2023). Protamine 1 as a secreted colorectal cancer-specific antigen facilitating G1/S phase transition under nutrient stress conditions. Cellular Oncology. 46(2). 357–373. 1 indexed citations
7.
Ye, Jingwei, Jinteng Li, Yunshu Che, et al.. (2022). Decrotonylation of AKT1 promotes AKT1 phosphorylation and activation during myogenic differentiation. Journal of Advanced Research. 50. 117–133. 18 indexed citations
8.
Ye, Feng, Jin Wu, & Fan Zhang. (2022). METTL16 epigenetically enhances GPX4 expression via m6A modification to promote breast cancer progression by inhibiting ferroptosis. Biochemical and Biophysical Research Communications. 638. 1–6. 48 indexed citations
9.
Yang, Anli, Weikai Xiao, Shaoquan Zheng, et al.. (2021). Predictive Nomogram of Subsequent Liver Metastasis After Mastectomy or Breast-Conserving Surgery in Patients With Nonmetastatic Breast Cancer. Cancer Control. 28. 1149432682–1149432682. 5 indexed citations
10.
Zhao, Lichao, et al.. (2021). Circular RNA circ-NT5C2 acts as a potential novel biomarker for prognosis of osteosarcoma. SHILAP Revista de lepidopterología. 1 indexed citations
11.
Guo, Jintao, Ying Zhou, Chaoqun Xu, et al.. (2021). Genetic Determinants of Somatic Selection of Mutational Processes in 3,566 Human Cancers. Cancer Research. 81(16). 4205–4217. 6 indexed citations
12.
Yang, Libo, Ting Lei, Li Li, et al.. (2019). BRCA1/2 mutation spectrum in Chinese early-onset breast cancer. Translational Cancer Research. 8(2). 483–490. 1 indexed citations
13.
Zhou, Yang, et al.. (2019). Bioinformatic analysis of long non-coding RNA-associated competing endogenous RNA network in adrenocortical carcinoma. Translational Cancer Research. 8(5). 2175–2186. 2 indexed citations
14.
Xie, Xinhua, Zhenchong Xiong, Xing Li, et al.. (2019). Nomogram to Predict Internal Mammary Lymph Nodes Metastasis in Patients With Breast Cancer. Frontiers in Oncology. 9. 1193–1193. 6 indexed citations
15.
Wen, Jiahuai, Yanning Yang, Peng Liu, et al.. (2017). Development and validation of a nomogram for predicting survival on the base of modified lymph node ratio in breast cancer patients. The Breast. 33. 14–22. 28 indexed citations
16.
Ye, Feng, Mei Li, Ping Yu, et al.. (2017). Application of a novel prognostic invasive lesion index in ductal carcinoma in situ with minimal invasion of the breast. Cancer Medicine. 6(11). 2489–2496. 1 indexed citations
17.
Tang, Hailin, Min Deng, Yunyun Tang, et al.. (2013). miR-200b and miR-200c as Prognostic Factors and Mediators of Gastric Cancer Cell Progression. Clinical Cancer Research. 19(20). 5602–5612. 145 indexed citations
18.
Wang, Fenfen, Li Yang, Jiansong Zhou, et al.. (2011). miR-375 Is Down-Regulated in Squamous Cervical Cancer and Inhibits Cell Migration and Invasion via Targeting Transcription Factor SP1. American Journal Of Pathology. 179(5). 2580–2588. 177 indexed citations
19.
Liu, Jia, et al.. (2010). Hes1/Hes5 Gene Inhibits Differentiation via Down-Regulating Hash1 and Promotes Proliferation in Cervical Carcinoma Cells. International Journal of Gynecological Cancer. 20(7). 1109–1116. 19 indexed citations
20.
Zhao, Xianghui, Xuelian He, Xiaolei Han, et al.. (2010). MicroRNA-Mediated Control of Oligodendrocyte Differentiation. Neuron. 65(5). 612–626. 403 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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