Feng Ye

972 total citations
33 papers, 746 citations indexed

About

Feng Ye is a scholar working on Molecular Biology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Feng Ye has authored 33 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Surgery and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Feng Ye's work include Neuropeptides and Animal Physiology (5 papers), Colorectal Cancer Surgical Treatments (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Feng Ye is often cited by papers focused on Neuropeptides and Animal Physiology (5 papers), Colorectal Cancer Surgical Treatments (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Feng Ye collaborates with scholars based in China, United States and Canada. Feng Ye's co-authors include Mark H. Ginsberg, Thomas Schmidt, Tobias S. Ulmer, Han‐Wu Deng, Yuan‐Jian Li, Eun‐Gyung Cho, Chungho Kim, Kenneth A. Taylor, Huaizeng Chen and Jun Liu and has published in prestigious journals such as Nature, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Feng Ye

33 papers receiving 737 citations

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 16 324 210 123 123 102 33 746
Tarek A. Leil United States 20 473 1.5× 83 0.4× 196 1.6× 109 0.9× 59 0.6× 35 1.2k
Kulandayan K. Subramanian United States 16 490 1.5× 167 0.8× 141 1.1× 185 1.5× 31 0.3× 22 1.0k
Patricia A. Zipfel United States 16 596 1.8× 86 0.4× 283 2.3× 141 1.1× 48 0.5× 21 1.0k
Suryakiran Vadrevu United States 15 621 1.9× 214 1.0× 82 0.7× 288 2.3× 25 0.2× 18 1.0k
Roberto Campos‐González United States 16 622 1.9× 70 0.3× 120 1.0× 332 2.7× 60 0.6× 25 994
Sally A. Prigent United Kingdom 16 775 2.4× 106 0.5× 483 3.9× 188 1.5× 150 1.5× 23 1.3k
Asoka Banno United States 16 494 1.5× 142 0.7× 83 0.7× 100 0.8× 13 0.1× 19 933
Tarita O. Thomas United States 13 557 1.7× 33 0.2× 107 0.9× 89 0.7× 122 1.2× 39 1.1k
Rukun Zang China 8 699 2.2× 52 0.2× 122 1.0× 91 0.7× 29 0.3× 18 985
Derek Tobin Norway 9 324 1.0× 57 0.3× 86 0.7× 90 0.7× 74 0.7× 17 583

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
1.
Qiu, Yi, Ying Yang, Toshihiro Akihisa, et al.. (2023). Isolation, structural and bioactivities of polysaccharides from Anoectochilus roxburghii (Wall.) Lindl.: A review. International Journal of Biological Macromolecules. 236. 123883–123883. 17 indexed citations
2.
Okpechi, Ikechi G., Feng Ye, Deenaz Zaidi, et al.. (2022). Impact of Home Telemonitoring and Management Support on Blood Pressure Control in Nondialysis CKD: A Systematic Review and Meta-Analysis. Canadian Journal of Kidney Health and Disease. 9. 1025061448–1025061448. 4 indexed citations
3.
Yuan, Weigang, Mi Zhang, Chunxu Wang, et al.. (2022). Resveratrol Attenuates High-Fat Diet–Induced Hepatic Lipotoxicity by Upregulating Bmi-1 Expression. Journal of Pharmacology and Experimental Therapeutics. 381(2). 96–105. 17 indexed citations
4.
Li, Zhengtu, et al.. (2022). Mycotic infection as a risk factor for COVID-19: A meta-analysis. Frontiers in Public Health. 10. 943234–943234. 2 indexed citations
5.
Wang, Hanzhi, Feng Ye, Caiyun Zhou, Qi Cheng, & Huaizeng Chen. (2021). High expression of ENPP1 in high-grade serous ovarian carcinoma predicts poor prognosis and as a molecular therapy target. PLoS ONE. 16(2). e0245733–e0245733. 23 indexed citations
6.
Zhang, Cai, et al.. (2020). A novel deletion variant in TRAPPC2 causes spondyloepiphyseal dysplasia tarda in a five-generation Chinese family. BMC Medical Genetics. 21(1). 117–117. 6 indexed citations
7.
Wan, Lijuan, Wenjing Peng, Shuangmei Zou, et al.. (2020). MRI-based delta-radiomics are predictive of pathological complete response after neoadjuvant chemoradiotherapy in locally advanced rectal cancer. Academic Radiology. 28. S95–S104. 49 indexed citations
8.
Fu, Wen, Ming Xiang, Yu Zhang, et al.. (2019). Notch1 Drives the Formation and Proliferation of Intrahepatic Cholangiocarcinoma. Current Medical Science. 39(6). 929–937. 12 indexed citations
9.
10.
Yu, Xiaoduo, Meng Lin, Feng Ye, et al.. (2015). Comparison of Contrast-Enhanced Isotropic 3D-GRE-T1WI Sequence versus Conventional Non-Isotropic Sequence on Preoperative Staging of Cervical Cancer. PLoS ONE. 10(3). e0122053–e0122053. 4 indexed citations
11.
Ye, Feng, Dong Chen, Danyang Wang, Jianjiang Lin, & Shusen Zheng. (2014). Use of Valtrac™-Secured Intracolonic Bypass in Laparoscopic Rectal Cancer Resection. Medicine. 93(29). e224–e224. 7 indexed citations
12.
Ye, Feng, Brian G. Petrich, Praju Vikas Anekal, et al.. (2013). The Mechanism of Kindlin-Mediated Activation of Integrin αIIbβ3. Current Biology. 23(22). 2288–2295. 112 indexed citations
13.
Kim, Chungho, Thomas Schmidt, Eun‐Gyung Cho, et al.. (2011). Basic amino-acid side chains regulate transmembrane integrin signalling. Nature. 481(7380). 209–213. 89 indexed citations
14.
Ye, Feng, Yanli Li, Ying Hu, et al.. (2010). Expression of Sox2 in human ovarian epithelial carcinoma. Journal of Cancer Research and Clinical Oncology. 137(1). 131–137. 54 indexed citations
15.
Fu, Yuan, Dan Ye, Hạixia Chen, et al.. (2007). Weakened spindle checkpoint with reduced BubR1 expression in paclitaxel-resistant ovarian carcinoma cell line SKOV3-TR30. Gynecologic Oncology. 105(1). 66–73. 45 indexed citations
16.
Deng, Pan-Yue, Jing Yu, Feng Ye, et al.. (2005). Interactions of sympathetic nerves with capsaicin-sensitive sensory nerves: neurogenic mechanisms for phenol-induced hypertension in the rat. Journal of Hypertension. 23(3). 603–609. 5 indexed citations
17.
Deng, Pan-Yue, Feng Ye, Gui‐Shan Tan, et al.. (2004). Stimulation of calcitonin gene-related peptide synthesis and release. Journal of Hypertension. 22(9). 1819–1829. 44 indexed citations
18.
Xiao, Qin, Feng Ye, Caroline K. Hu, et al.. (2004). Effect of calcitonin gene-related peptide on angiotensin II-induced proliferation of rat vascular smooth muscle cells. European Journal of Pharmacology. 488(1-3). 45–49. 28 indexed citations
19.
Rang, Weiqing, Yanhua Du, Chang‐Ping Hu, et al.. (2003). Protective effects of calcitonin gene-related peptide-mediated evodiamine on guinea-pig cardiac anaphylaxis. Naunyn-Schmiedeberg s Archives of Pharmacology. 367(3). 306–311. 14 indexed citations
20.
Deng, Pan-Yue, et al.. (2003). An increase in the synthesis and release of calcitonin gene-related peptide in two-kidney, one-clip hypertensive rats. Regulatory Peptides. 114(2-3). 175–182. 23 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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