Shen Ren

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

Impact in

Papers in

Shen Ren

48 papers receiving 1.1k citations

Peers

Shen Ren
Comparison fields: 5 of 106
  • Pharmacology 241
  • Pathology and Forensic Medicine 270
  • Complementary and alternative medicine 70
  • Molecular Biology 505
  • Biological Psychiatry 15
Replace Nobuyuki Fukuishi with:
Nobuyuki Fukuishi Japan
Shuang Jiang China
Yanqing Song China
Wafaa R. Mohamed Egypt
Yingchun Zhou China
Weifeng Huang China
So Young Kim South Korea
Xingtao Zhao China
Lihua Tan China
Sue‐Hong Wang Taiwan
Shen Ren relative to Nobuyuki Fukuishi Japan Nobuyuki Fukuishi's profile →
Citations per field
00.5×2×4×6×
Nobuyuki Fukuishi · 1×
Citations per year

Countries citing papers authored by Shen Ren

Since Specialization
Citations

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

Fields of papers citing papers by Shen Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201991
2 201889
3 201872
4 201770
5 202367
6 201965
7 201865
8 201865
9 201951
10 201849
11 201847
12 201936
13 201832
14 201832
15 202328
16 201822
17 202422
18 202519
19 202019
20 201918

About Shen Ren

Shen Ren is a scholar working on Pharmacology, Pathology and Forensic Medicine, Molecular Biology, Complementary and alternative medicine and Cardiology and Cardiovascular Medicine, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chemotherapy-induced organ toxicity mitigation (11 papers), Ginseng Biological Effects and Applications (10 papers), Drug-Induced Hepatotoxicity and Protection (7 papers), Pharmacological Effects of Natural Compounds (6 papers), Chemotherapy-induced cardiotoxicity and mitigation (5 papers), Biosensors and Analytical Detection (4 papers), Plant-derived Lignans Synthesis and Bioactivity (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Pharmacology (241 citations), Pathology and Forensic Medicine (270 citations), Complementary and alternative medicine (70 citations), Molecular Biology (505 citations) and Biological Psychiatry (15 citations). Shen Ren has collaborated with scholars based in China, Australia and South Korea. Frequent co-authors include Zi Wang, Chen Chen, Jingang Hou, Ying‐Ping Wang, Wei Li, Shuang Jiang, Junnan Hu, Yan‐dan Zhou, Ye Han and Xiao-jie Mi. Their work appears in journals such as Phytomedicine, Journal of Ethnopharmacology, Phytotherapy Research, International Immunopharmacology and Molecules.

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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