Feng Ren

1.5k citations
23 papers · 1.2k · h-index 19

Impact in

Papers in

Feng Ren

23 papers receiving 1.1k citations

Peers

Feng Ren
Comparison fields: 5 of 97
  • Cancer Research 387
  • Geriatrics and Gerontology 38
  • Molecular Biology 629
  • Pharmacology 77
  • Nephrology 48
Replace Deqiang Huang with:
Deqiang Huang China
Bing Xu China
Yuanyuan Weng China
Ho‐Shik Kim South Korea
Huimin Yang China
Tae‐Hwe Heo South Korea
Pan Shen China
Zhouqing Huang China
Guang Xu China
Feng Ren relative to Deqiang Huang China Deqiang Huang's profile →
Citations per field
00.5×3.7×
Deqiang Huang · 1×
Citations per year

Countries citing papers authored by Feng Ren

Since Specialization
Citations

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

Fields of papers citing papers by Feng Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016354
2 2017101
3 201977
4 201876
5 201258
6 201254
7 200750
8 201347
9 201643
10 201837
11 201532
12 201826
13 202325
14 201925
15
Knockdown of microRNA-127 reverses adriamycin resistance via cell cycle arrest and apoptosis sensitization in adriamycin-resistant human glioma cells.
201525
16 201925
17
Inhibitory effect of miR-184 on the potential of proliferation and invasion in human glioma and breast cancer cells in vitro.
201522
18 201621
19 202019
20 202014

About Feng Ren

Feng Ren is a scholar working on Cancer Research, Molecular Biology, Cell Biology, Surgery and Epidemiology, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (6 papers), Cancer-related molecular mechanisms research (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Pharmacological Effects of Natural Compounds (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Cancer Research (387 citations), Geriatrics and Gerontology (38 citations), Molecular Biology (629 citations), Pharmacology (77 citations) and Nephrology (48 citations). Feng Ren has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Haitao Jiang, Yunjie Chen, Lei Dong, Xue Gao, Wenqiang Yu, Xiangying Zhang, Zongwei Cai, Qun‐Ying Lei, Yiping Wang and Shuhai Lin. Their work appears in journals such as Journal of Cellular Biochemistry, Biomedicine & Pharmacotherapy, Nature Communications, Cancer Cell International and Immunopharmacology and Immunotoxicology.

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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