Feng Ye

6.2k total citations · 2 hit papers
148 papers, 4.7k citations indexed

About

Feng Ye is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Feng Ye has authored 148 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 28 papers in Oncology and 23 papers in Cancer Research. Recurrent topics in Feng Ye's work include Cell Adhesion Molecules Research (20 papers), Platelet Disorders and Treatments (9 papers) and MicroRNA in disease regulation (9 papers). Feng Ye is often cited by papers focused on Cell Adhesion Molecules Research (20 papers), Platelet Disorders and Treatments (9 papers) and MicroRNA in disease regulation (9 papers). Feng Ye collaborates with scholars based in China, United States and Hong Kong. Feng Ye's co-authors include Mark H. Ginsberg, Chungho Kim, Bi‐Cheng Liu, David R. Critchley, Lin‐Li Lv, Brian G. Petrich, Tao‐Tao Tang, Hai-Feng Ni, Zuo‐Lin Li and Huaizeng Chen and has published in prestigious journals such as Cell, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Feng Ye

142 papers receiving 4.7k citations

Hit Papers

align trajectories

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.

Exosomal miRNA-19b-3p of tubular epithelial cells promotes M1 macrophage activation in kidney injury

2019 314 citations Lin‐Li Lv, Feng Ye et al. Cell Death and Differentiation profile →
The Single‐Cell Landscape of Intratumoral Heterogeneity and The Immunosuppressive Microenvironment in Liver and Brain Metastases of Breast Cancer

2022 191 citations Yutian Zou, Feng Ye et al. Advanced Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Feng Ye China	32	2.3k	1.2k	816	766	740	148	4.7k
Steven M. Dudek United States	45	3.3k 1.5×	491 0.4×	1.4k 1.7×	492 0.6×	341 0.5×	134	6.3k
Roy Zent United States	51	4.1k 1.8×	3.0k 2.6×	2.4k 2.9×	867 1.1×	960 1.3×	190	9.0k
Scott B. Shappell United States	38	2.6k 1.2×	581 0.5×	268 0.3×	1000 1.3×	1.2k 1.6×	75	6.4k
Hermann‐Josef Gröne Germany	44	2.6k 1.2×	246 0.2×	477 0.6×	611 0.8×	790 1.1×	125	6.6k
Xiaoping Du United States	50	2.3k 1.0×	1.7k 1.5×	844 1.0×	374 0.5×	452 0.6×	104	7.2k
Wolfgang Bergmeier United States	47	1.5k 0.7×	1.1k 1.0×	358 0.4×	329 0.4×	494 0.7×	139	6.8k
John F. Timms United Kingdom	40	4.2k 1.9×	245 0.2×	816 1.0×	787 1.0×	1.2k 1.6×	103	6.7k
Li‐Yan Xu China	44	4.5k 2.0×	272 0.2×	616 0.8×	2.0k 2.7×	1.4k 1.9×	367	7.5k
Yoichi Imai Japan	41	2.6k 1.2×	562 0.5×	294 0.4×	378 0.5×	1.1k 1.4×	189	5.5k
Hong‐Jian Zhu Australia	48	5.4k 2.4×	343 0.3×	496 0.6×	2.0k 2.7×	2.3k 3.1×	163	8.5k

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ye, Feng, Liu Guang, Haiqing Li, & Lin Cheng. (2025). Target neutrophil heterogeneity and plasticity in cancer. Journal of Hematology & Oncology. 18(1). 79–79.

Li, Lin, et al.. (2025). Quantitative assessment of swept-source optical coherence tomography angiography in Vogt-Koyanagi-Harada (VKH) patients across different disease stages. Photodiagnosis and Photodynamic Therapy. 53. 104592–104592.

See, Emily, Isabelle Éthier, Yeoungjee Cho, et al.. (2024). Dialysis Outcomes Across Countries and Regions: A Global Perspective From the International Society of Nephrology Global Kidney Health Atlas Study. Kidney International Reports. 9(8). 2410–2419. 4 indexed citations

Liu, Pei, et al.. (2023). DSCA: A dual-stream network with cross-attention on whole-slide image pyramids for cancer prognosis. Expert Systems with Applications. 227. 120280–120280. 21 indexed citations

Liu, Pei, Luping Ji, Feng Ye, & Bo Fu. (2023). GraphLSurv: A scalable survival prediction network with adaptive and sparse structure learning for histopathological whole-slide images. Computer Methods and Programs in Biomedicine. 231. 107433–107433. 9 indexed citations

He, Yinjun, Xiang Zhang, Ming Zhu, et al.. (2023). Soluble PD-L1: a potential dynamic predictive biomarker for immunotherapy in patients with proficient mismatch repair colorectal cancer. Journal of Translational Medicine. 21(1). 46–46. 25 indexed citations

Zou, Yutian, Feng Ye, Yanan Kong, et al.. (2022). The Single‐Cell Landscape of Intratumoral Heterogeneity and The Immunosuppressive Microenvironment in Liver and Brain Metastases of Breast Cancer. Advanced Science. 10(5). e2203699–e2203699. 191 indexed citations breakdown →

Xie, Jindong, Yutian Zou, Feng Ye, et al.. (2022). A Novel Platelet-Related Gene Signature for Predicting the Prognosis of Triple-Negative Breast Cancer. Frontiers in Cell and Developmental Biology. 9. 795600–795600. 28 indexed citations

Lv, Lin‐Li, Cui Wang, Zuo‐Lin Li, et al.. (2021). SAP130 released by damaged tubule drives necroinflammation via miRNA-219c/Mincle signaling in acute kidney injury. Cell Death and Disease. 12(10). 866–866. 31 indexed citations

10.

Wei, Ziyu, Guangjie Chen, Tingting Hu, et al.. (2021). Resveratrol ameliorates lipid accumulation and inflammation in human SZ95 sebocytes via the AMPK signaling pathways in vitro. Journal of Dermatological Science. 103(3). 156–166. 19 indexed citations

11.

Gao, Hongwei, Lin Xiao, Qiuxiao Yu, et al.. (2020). Mediator complex subunit 16 is down-regulated in papillary thyroid cancer, leading to increased transforming growth factor-β signaling and radioiodine resistance. Journal of Biological Chemistry. 295(31). 10726–10740. 10 indexed citations

12.

Ye, Feng, Xin Zhong, Tao‐Tao Tang, et al.. (2020). Rab27a dependent exosome releasing participated in albumin handling as a coordinated approach to lysosome in kidney disease. Cell Death and Disease. 11(7). 513–513. 18 indexed citations

13.

Luo, Xiaoming, Haixing Song, Jing Yang, et al.. (2020). Encapsulation of Escherichia coli strain Nissle 1917 in a chitosan―alginate matrix by combining layer-by-layer assembly with CaCl2 cross-linking for an effective treatment of inflammatory bowel diseases. Colloids and Surfaces B Biointerfaces. 189. 110818–110818. 47 indexed citations

14.

Qiu, Yan, Liya Wang, Xiaorong Zhong, et al.. (2019). A multiple breast cancer stem cell model to predict recurrence of T1–3, N0 breast cancer. BMC Cancer. 19(1). 729–729. 11 indexed citations

15.

Lv, Lin‐Li, Feng Ye, Min Wu, et al.. (2019). Exosomal miRNA-19b-3p of tubular epithelial cells promotes M1 macrophage activation in kidney injury. Cell Death and Differentiation. 27(1). 210–226. 314 indexed citations breakdown →

16.

Qiu, Yan, Tianjie Pu, Peng Guo, et al.. (2015). ALDH+/CD44+ cells in breast cancer are associated with worse prognosis and poor clinical outcome. Experimental and Molecular Pathology. 100(1). 145–150. 20 indexed citations

17.

Stefanini, Lucia, Feng Ye, Raymond Piatt, et al.. (2014). A talin mutant that impairs talin-integrin binding in platelets decelerates αIIbβ3 activation without pathological bleeding. Blood. 123(17). 2722–2731. 39 indexed citations

18.

Ye, Feng, Guiqing Hu, Dianne W. Taylor, et al.. (2010). Recreation of the terminal events in physiological integrin activation. The Journal of Cell Biology. 188(1). 157–173. 204 indexed citations

19.

Yang, Yan, et al.. (2009). [Design and application of medical knowledge model on SAGE].. PubMed. 33(1). 27–30. 1 indexed citations

20.

Ye, Feng, et al.. (2007). Correlation between soluble Fas level and apoptosis of T cells in ovarian carcinoma. European Journal of Obstetrics & Gynecology and Reproductive Biology. 138(2). 204–211. 4 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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