Feng Ye

574 citations
17 papers · 296 · h-index 7

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Nephrology top 10%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes

Papers in

    • DNA Repair Mechanisms 2
    • RNA Research and Splicing 2
    • RNA modifications and cancer 2
    • Cell death mechanisms and regulation 1
    • Colorectal Cancer Treatments and Studies 2

Feng Ye

15 papers receiving 293 citations

Peers

Feng Ye
Comparison fields: 5 of 57
  • Cancer Research 90
  • Nephrology 39
  • Molecular Biology 162
  • Pulmonary and Respiratory Medicine 42
  • Immunology 29
Replace Chao‐Yuan Chang with:
Chao‐Yuan Chang Taiwan
Yingfeng Zhu China
Yuanjie Niu China
Jiyoung Yu South Korea
Yizhi Cao China
Shumin Ma China
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Feng Ye relative to Chao‐Yuan Chang Taiwan Chao‐Yuan Chang's profile →
Citations per field
00.5×2.8×
Chao‐Yuan Chang · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Feng Ye, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Feng Ye Line = papers co-authored together Feng Ye links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2021107
2 202070
3 202334
4 201921
5 202017
6 202415
7 202412
8 20246
9 20253
10 20243
11 20243
12 20242
13 20251
14 20251
15 20251
16 20250
17 20240

About Feng Ye

Feng Ye is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Nephrology and Immunology, having authored 17 papers that have together received 296 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (3 papers), DNA Repair Mechanisms (2 papers), RNA Research and Splicing (2 papers), Colorectal Cancer Treatments and Studies (2 papers), RNA modifications and cancer (2 papers), Cell death mechanisms and regulation (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Photoacoustic and Ultrasonic Imaging (1 paper). The work is most often cited by research in Cancer Research (90 citations), Nephrology (39 citations), Molecular Biology (162 citations), Pulmonary and Respiratory Medicine (42 citations) and Immunology (29 citations). Feng Ye has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiaoting Lin, Lei Wang, Xi Luo, Shiwen Zhuang, Jian‐cheng Ding, Guo-Sheng Hu, Wen Liu, Jun Du, Chen Xue and Yi Jia. Their work appears in journals such as Journal of Clinical Oncology, Cell Research, Frontiers in Immunology, Analytical Chemistry and npj Precision Oncology.

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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