Fei Ren

1.4k citations
40 papers · 1.0k · h-index 17

Impact in

  • Oncology top 10%
    • CAR-T cell therapy research
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Fei Ren

37 papers receiving 991 citations

Peers

Fei Ren
Comparison fields: 5 of 100
  • Oncology 382
  • Cancer Research 173
  • Neurology 66
  • Developmental Neuroscience 29
  • Immunology 140
Replace Wanli Dong with:
Wanli Dong China
Francesca Corti Italy
Irina Mikolaenko United States
Lixi Li China
Xiaohua Zhang China
Bojana Beleslin‐Čokić Serbia
Yuki Hirose Japan
Hongli Tang China
Haris Zahoor United States
Shiori Eguchi United Kingdom
Fei Ren relative to Wanli Dong China Wanli Dong's profile →
Citations per field
00.5×2.9×
Wanli Dong · 1×
Citations per year

Countries citing papers authored by Fei Ren

Since Specialization
Citations

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

Fields of papers citing papers by Fei Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fei Ren, 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 Fei Ren Line = papers co-authored together Fei Ren links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021155
2 2013131
3 201895
4 202076
5 201367
6
MYBL2 is an independent prognostic marker that has tumor-promoting functions in colorectal cancer.
201551
7 201846
8 201636
9 201734
10 201533
11 202029
12 201927
13 201723
14 201522
15 201421
16 202121
17 202216
18 202116
19 201815
20 202012

About Fei Ren

Fei Ren is a scholar working on Pathology and Forensic Medicine, Oncology, Molecular Biology, Surgery and Psychiatry and Mental health, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (5 papers), Colorectal Cancer Treatments and Studies (4 papers), Cancer-related molecular mechanisms research (4 papers), Migraine and Headache Studies (3 papers), RNA modifications and cancer (3 papers), Autophagy in Disease and Therapy (3 papers), Nerve injury and regeneration (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Oncology (382 citations), Cancer Research (173 citations), Neurology (66 citations), Developmental Neuroscience (29 citations) and Immunology (140 citations). Fei Ren has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Yingtang Zhou, Xiangjiao Meng, Hongwei Cai, Bei Sun, Jinming Yu, Ming‐Guo Liu, Huan Ye, Hao Ou, Weiqi Sheng and Tao Zhong. Their work appears in journals such as Scientific Reports, Molecular Pain, Journal of Neurophysiology, Frontiers in Immunology and Journal of Neuro-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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