Feng Ren

1.2k citations
43 papers · 917 · h-index 20

Impact in

Papers in

    • CRISPR and Genetic Engineering 6
    • Autophagy in Disease and Therapy 6
    • Liver Disease Diagnosis and Treatment 6
    • Hepatitis B Virus Studies 5

Feng Ren

40 papers receiving 910 citations

Peers

Feng Ren
Comparison fields: 5 of 96
  • Hepatology 107
  • Cancer Research 108
  • Immunology 141
  • Epidemiology 200
  • Molecular Biology 388
Replace Yanchun Li with:
Yanchun Li China
Xiufen Li China
Scott Lucia United States
Young‐Suk Won South Korea
Yung‐Yu Hsieh Taiwan
Zhiguang Tu China
Qingyan Liu China
Hong Namkoong South Korea
Yuanyuan Wang China
Jui‐Chieh Chen Taiwan
Feng Ren relative to Yanchun Li China Yanchun Li's profile →
Citations per field
00.5×1.5×1.8×
Yanchun Li · 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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200980
2 201167
3 202065
4 202059
5 201346
6 202345
7 201743
8 201742
9 201940
10 202232
11 202132
12 201929
13 201627
14 201627
15 201425
16 200922
17 202221
18 202019
19 201619
20 201819

About Feng Ren

Feng Ren is a scholar working on Molecular Biology, Epidemiology, Hepatology, Oncology and Organic Chemistry, having authored 43 papers that have together received 917 indexed citations. Recurring topics across this work include Liver physiology and pathology (6 papers), CRISPR and Genetic Engineering (6 papers), Autophagy in Disease and Therapy (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Hepatitis B Virus Studies (5 papers), Liver Disease and Transplantation (5 papers), Catalytic C–H Functionalization Methods (3 papers) and Catalytic Cross-Coupling Reactions (3 papers). The work is most often cited by research in Hepatology (107 citations), Cancer Research (108 citations), Immunology (141 citations), Epidemiology (200 citations) and Molecular Biology (388 citations). Feng Ren has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Kaixuan Wu, Feng Gao, Xiu‐Da Shen, Ronald W. Busuttil, Jerzy W. Kupiec‐Weglinski, Yuan Zhai, Zhongping Duan, Dong-cai Liu, Jianping Zhou and Zhongping Duan. Their work appears in journals such as Organic Chemistry Frontiers, Scientific Reports, Hepatology, Journal of Viral Hepatitis and Biochemical and Biophysical Research Communications.

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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