Feng Ye

1.4k citations
30 papers · 311 · h-index 11

Impact in

Papers in

Feng Ye

27 papers receiving 307 citations

Peers

Feng Ye
Comparison fields: 5 of 78
  • Hepatology 40
  • Cancer Research 61
  • Microbiology 3
  • Oncology 98
  • Health Informatics 4
Replace Eucario León-Rodrı́guez with:
Eucario León-Rodrı́guez Mexico
Ash Bullement United Kingdom
Vicki Wing‐Ki Hui Hong Kong
Yana Qi China
Steven K. Cheng United States
Ragheed Al-Mufti United Kingdom
Peter J. Castaldi United States
Danny Wu United States
Feng Ye relative to Eucario León-Rodrı́guez Mexico Eucario León-Rodrı́guez's profile →
Citations per field
00.5×
Eucario León-Rodrı́guez · 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

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201742
2 201835
3 201932
4 201927
5 201724
6 202322
7 202012
8 202010
9 202010
10 201710
11 202110
12 202010
13
Quantitative real-time polymerase chain reaction is an alternative method for the detection of HER-2 amplification in formalin-fixed paraffin-embedded breast cancer samples.
20158
14 20228
15 20248
16 20238
17 20216
18 20226
19 20225
20 20244

About Feng Ye

Feng Ye is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Cancer Research, Molecular Biology and Nephrology, having authored 30 papers that have together received 311 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (4 papers), MRI in cancer diagnosis (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Dialysis and Renal Disease Management (4 papers), Cancer, Lipids, and Metabolism (3 papers), Breast Cancer Treatment Studies (3 papers), AI in cancer detection (3 papers) and Inflammatory Biomarkers in Disease Prognosis (2 papers). The work is most often cited by research in Hepatology (40 citations), Cancer Research (61 citations), Microbiology (3 citations), Oncology (98 citations) and Health Informatics (4 citations). Feng Ye has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Wenya Yu, Chen Xue, Meina Li, Lulu Zhang, Pei Liu, Bo Fu, Luping Ji, Hong Bu, Jianxiong Wu and Weiqi Rong. Their work appears in journals such as BMJ Open, Frontiers in Immunology, Nephrology Dialysis Transplantation, PLoS ONE and Journal of Cancer.

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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