Feng Ye

4.0k citations
57 papers · 1.1k · 1 hit paper · h-index 18

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

Feng Ye

49 papers receiving 1.1k citations

Feng Ye's Hit Papers

The anti-PD-L1/CTLA-4 bispecific antibody KN046 in combination with nab-paclitaxel in first-line treatment of metastatic triple-negative breast cancer: a multicenter phase II trial 2024 · 45 citations
450+1Years since publication10203040

Peers

Feng Ye
Comparison fields: 5 of 98
  • Cancer Research 431
  • Hepatology 106
  • Oncology 333
  • Molecular Biology 475
  • Pulmonary and Respiratory Medicine 223
Replace Pippa Newell with:
Pippa Newell United States
Xiaobin Gu China
Roberta Cerutti Italy
Hans‐Christian Kolberg Germany
TG Cooke United Kingdom
Vera Schellerer Germany
Yvette C. Tanhehco United States
Kanwal Raghav United States
Antonio I. Picon United States
Qian Song China
Feng Ye relative to Pippa Newell United States Pippa Newell's profile →
Citations per field
00.5×3.6×
Pippa Newell · 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 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019198
2 201490
3 201284
4 202060
5 202353
6 202049
7
The anti-PD-L1/CTLA-4 bispecific antibody KN046 in combination with nab-paclitaxel in first-line treatment of metastatic triple-negative breast cancer: a multicenter phase II trial
Hit paper breakdown →
202445
8 201539
9 202036
10 201735
11 201634
12 201534
13 202332
14 201432
15 201226
16 201724
17 202123
18 202018
19 202115
20 201314

About Feng Ye

Feng Ye is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Epidemiology, Hepatology and Cancer Research, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Liver Disease Diagnosis and Treatment (8 papers), Colorectal and Anal Carcinomas (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Circular RNAs in diseases (5 papers), Colorectal Cancer Surgical Treatments (5 papers), Lung Cancer Treatments and Mutations (5 papers) and Tracheal and airway disorders (4 papers). The work is most often cited by research in Cancer Research (431 citations), Hepatology (106 citations), Oncology (333 citations), Molecular Biology (475 citations) and Pulmonary and Respiratory Medicine (223 citations). Feng Ye has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaoming Xie, Hailin Tang, Yutian Zou, Shaoquan Zheng, Guanfeng Gao, Xueqi Ou, Lijuan Zhang, Han Ouyang, Peng Liu and Lu Yang. Their work appears in journals such as European Radiology, Medicine, PLoS ONE, Head & Neck and Frontiers in 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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