Bei Ren

463 citations
9 papers · 380 · h-index 4

Impact in

    • Phytochemicals and Antioxidant Activities
  • Pharmacology top 10%
    • Flavonoids in Medical Research
    • Pharmacological Effects of Natural Compounds

Papers in

Bei Ren

9 papers receiving 376 citations

Peers

Bei Ren
Comparison fields: 5 of 71
  • Biochemistry 85
  • Pharmacology 51
  • Endocrinology, Diabetes and Metabolism 96
  • Complementary and alternative medicine 38
  • Geriatrics and Gerontology 15
Replace Kamarulzaman Karim with:
Kamarulzaman Karim Malaysia
Sinenhlanhla X. H. Mthembu South Africa
Poovathumkal James Antony Brazil
Jingda Li China
Weronika Wojnar Poland
Guanzhong Wu China
Mona N. BinMowyna Saudi Arabia
G. Sriram Prasath India
Ni Zheng China
Bei Ren relative to Kamarulzaman Karim Malaysia Kamarulzaman Karim's profile →
Citations per field
00.5×
Kamarulzaman Karim · 1×
Citations per year

Countries citing papers authored by Bei Ren

Since Specialization
Citations

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

Fields of papers citing papers by Bei Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2016175
2 202191
3 201677
4 201629
5 20143
6
[Association between plasma adiponectin and small, dense low density lipoprotein in patients with coronary artery disease].
20122
7 20221
8 20231
9 20101

About Bei Ren

Bei Ren is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology and Biochemistry, having authored 9 papers that have together received 380 indexed citations. Recurring topics across this work include Natural Antidiabetic Agents Studies (3 papers), Flavonoids in Medical Research (2 papers), Phytochemicals and Antioxidant Activities (2 papers), Phytochemistry and Biological Activities (1 paper), Heavy Metal Exposure and Toxicity (1 paper), Apelin-related biomedical research (1 paper), Effects and risks of endocrine disrupting chemicals (1 paper) and Pleural and Pulmonary Diseases (1 paper). The work is most often cited by research in Biochemistry (85 citations), Pharmacology (51 citations), Endocrinology, Diabetes and Metabolism (96 citations), Complementary and alternative medicine (38 citations) and Geriatrics and Gerontology (15 citations). Bei Ren has collaborated with scholars based in China and Kazakhstan. Frequent co-authors include Feihua Wu, Jingyu Liang, Shanshan Wang, Weiwei Qin, Liying Wang, Biao Zeng, Pan Cheng, Shiping Ma, Cheng Chen and Qin Qin. Their work appears in journals such as Vascular Pharmacology, Ecotoxicology and Environmental Safety, European Journal of Pharmacology, International Immunopharmacology and Chemistry & Biodiversity.

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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