Fei Ye

14.1k total citations
209 papers, 5.4k citations indexed

About

Fei Ye is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Fei Ye has authored 209 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Molecular Biology, 71 papers in Oncology and 47 papers in Cancer Research. Recurrent topics in Fei Ye's work include Cancer-related molecular mechanisms research (23 papers), Cancer Immunotherapy and Biomarkers (21 papers) and RNA modifications and cancer (12 papers). Fei Ye is often cited by papers focused on Cancer-related molecular mechanisms research (23 papers), Cancer Immunotherapy and Biomarkers (21 papers) and RNA modifications and cancer (12 papers). Fei Ye collaborates with scholars based in United States, China and Australia. Fei Ye's co-authors include Yu Shyr, Douglas B. Johnson, Yan Guo, Shilin Zhao, Quanhu Sheng, David C. Samuels, Daniel Wang, Run Fan, Elizabeth J. Davis and Jiang Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Fei Ye

202 papers receiving 5.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fei Ye United States 44 2.5k 1.7k 1.2k 745 521 209 5.4k
Michael Neumaier Germany 42 2.2k 0.9× 1.6k 1.0× 730 0.6× 631 0.8× 914 1.8× 220 6.5k
Elisabet Guinó Spain 29 1.9k 0.8× 1.2k 0.7× 890 0.7× 437 0.6× 604 1.2× 58 4.7k
Yan Huang China 34 2.7k 1.1× 864 0.5× 1.7k 1.4× 556 0.7× 409 0.8× 104 5.3k
Xi Kathy Zhou United States 36 1.6k 0.6× 2.2k 1.3× 972 0.8× 1.0k 1.4× 913 1.8× 127 5.0k
Ze‐Guang Han China 47 4.3k 1.7× 1.3k 0.7× 1.7k 1.4× 560 0.8× 729 1.4× 234 8.9k
Heiko Müller Germany 43 4.9k 2.0× 2.5k 1.5× 1.2k 1.0× 514 0.7× 474 0.9× 113 8.0k
Yan Lin China 37 2.3k 0.9× 1.7k 1.0× 1.3k 1.0× 618 0.8× 1.3k 2.4× 227 5.2k
Lanjing Zhang United States 28 2.2k 0.9× 2.8k 1.6× 1.2k 1.0× 599 0.8× 488 0.9× 126 5.0k
Éva Szabó United States 43 4.2k 1.7× 2.2k 1.3× 1.4k 1.2× 1.2k 1.6× 767 1.5× 199 8.1k
Elizabeth Fox United States 42 1.9k 0.8× 2.0k 1.1× 651 0.5× 1.4k 1.9× 326 0.6× 220 5.8k

Countries citing papers authored by Fei Ye

Since Specialization
Citations

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

Fields of papers citing papers by Fei Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Ye. A scholar is included among the top collaborators of Fei 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 Fei Ye. Fei 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
1.
Wang, Cong, Hui Cai, Qiuyin Cai, et al.. (2024). Circulating microRNAs in association with pancreatic cancer risk within 5 years. International Journal of Cancer. 155(3). 519–531. 4 indexed citations
2.
Liu, Wenting, Lu Gao, Xiaojuan Hou, et al.. (2023). TWEAK Signaling‐Induced ID1 Expression Drives Malignant Transformation of Hepatic Progenitor Cells During Hepatocarcinogenesis. Advanced Science. 10(18). e2300350–e2300350. 9 indexed citations
3.
Clarke, Margareta A., Bryan Hernandez, Colin D. McKnight, et al.. (2023). Paramagnetic rim lesions and the central vein sign: Characterizing multiple sclerosis imaging markers. Journal of Neuroimaging. 34(1). 86–94. 9 indexed citations
4.
Hanson, Alison, Hassina Benchabane, Kenyi Saito‐Diaz, et al.. (2023). USP47 deubiquitylates Groucho/TLE to promote Wnt–β-catenin signaling. Science Signaling. 16(771). eabn8372–eabn8372. 11 indexed citations
5.
Wei, Alexander Z., Fei Ye, Matteo S. Carlino, et al.. (2022). Clinical and genomic correlates of imatinib response in melanomas with KIT alterations. British Journal of Cancer. 127(9). 1726–1732. 15 indexed citations
6.
Novitskaya, Tatiana, Andries Zijlstra, Philip Owens, et al.. (2020). Myeloid Cell–Derived TGFβ Signaling Regulates ECM Deposition in Mammary Carcinoma via Adenosine-Dependent Mechanisms. Cancer Research. 80(12). 2628–2638. 34 indexed citations
7.
Song, Haocan, Fei Ye, Javid J. Moslehi, et al.. (2020). Demographic Factors Associated with Toxicity in Patients Treated with Anti–Programmed Cell Death-1 Therapy. Cancer Immunology Research. 8(7). 851–855. 42 indexed citations
8.
Ping, Jie, Xingyi Guo, Fei Ye, et al.. (2020). Differences in gene-expression profiles in breast cancer between African and European-ancestry women. Carcinogenesis. 41(7). 887–893. 9 indexed citations
9.
10.
Wang, Shuyang, Alicia Beeghly‐Fadiel, Qiuyin Cai, et al.. (2018). Gene expression in triple-negative breast cancer in relation to survival. Breast Cancer Research and Treatment. 171(1). 199–207. 33 indexed citations
11.
Chen, Sheau‐Chiann, et al.. (2018). Individual and household influences on food security and dietary diversity in seven Dominican batey communities. International Health. 11(4). 272–282. 3 indexed citations
12.
Wang, Daniel, Zeynep Eroglu, Alpaslan Özgün, et al.. (2017). Clinical Features of Acquired Resistance to Anti–PD-1 Therapy in Advanced Melanoma. Cancer Immunology Research. 5(5). 357–362. 35 indexed citations
13.
Pickup, Michael W., Philip Owens, Agnieszka E. Gorska, et al.. (2017). Development of Aggressive Pancreatic Ductal Adenocarcinomas Depends on Granulocyte Colony Stimulating Factor Secretion in Carcinoma Cells. Cancer Immunology Research. 5(9). 718–729. 39 indexed citations
14.
Ichihara, Eiki, David Westover, Catherine B. Meador, et al.. (2017). SFK/FAK Signaling Attenuates Osimertinib Efficacy in Both Drug-Sensitive and Drug-Resistant Models of EGFR-Mutant Lung Cancer. Cancer Research. 77(11). 2990–3000. 104 indexed citations
15.
Youngblood, Victoria, Laura C. Kim, Deanna N. Edwards, et al.. (2016). The Ephrin-A1/EPHA2 Signaling Axis Regulates Glutamine Metabolism in HER2-Positive Breast Cancer. Cancer Research. 76(7). 1825–1836. 61 indexed citations
16.
Joseph, Richard W., Chengwei Peng, Fei Ye, et al.. (2016). Prolonged Benefit from Ipilimumab Correlates with Improved Outcomes from Subsequent Pembrolizumab. Cancer Immunology Research. 4(7). 569–573. 16 indexed citations
17.
Amato, Katherine, Shan Wang, Li Tan, et al.. (2016). EPHA2 Blockade Overcomes Acquired Resistance to EGFR Kinase Inhibitors in Lung Cancer. Cancer Research. 76(2). 305–318. 84 indexed citations
18.
Bhola, Neil E., Valerie M. Jansen, Sangeeta Bafna, et al.. (2014). Kinome-wide Functional Screen Identifies Role of PLK1 in Hormone-Independent, ER-Positive Breast Cancer. Cancer Research. 75(2). 405–414. 50 indexed citations
19.
Samanta, Debangshu, Adriana L. Gonzalez, Nagaraj S. Nagathihalli, et al.. (2012). Smoking Attenuates Transforming Growth Factor-β–Mediated Tumor Suppression Function through Downregulation of Smad3 in Lung Cancer. Cancer Prevention Research. 5(3). 453–463. 29 indexed citations
20.
Fox, Emily M., Todd W. Miller, Justin M. Balko, et al.. (2011). A Kinome-Wide Screen Identifies the Insulin/IGF-I Receptor Pathway as a Mechanism of Escape from Hormone Dependence in Breast Cancer. Cancer Research. 71(21). 6773–6784. 131 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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