Fafeng Cheng

1.4k citations
66 papers · 1.0k · h-index 21

Impact in

Papers in

    • Neuroinflammation and Neurodegeneration Mechanisms 10
    • Neurological Disease Mechanisms and Treatments 9
    • Barrier Structure and Function Studies 6

Fafeng Cheng

63 papers receiving 1.0k citations

Peers

Fafeng Cheng
Comparison fields: 5 of 86
  • Neurology 214
  • Complementary and alternative medicine 115
  • Biological Psychiatry 30
  • Pharmacology 90
  • Pharmacology 118
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Wenbin He China
Xiu‐Yun Song China
Ru Zhou China
Qidi Ai China
Chunhua Zhu China
Jingxian Wu China
Lichen Gao China
Shaowu Cheng China
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Fafeng Cheng relative to Wenbin He China Wenbin He's profile →
Citations per field
00.5×1.6×
Wenbin He · 1×
Citations per year

Countries citing papers authored by Fafeng Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Fafeng Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202167
2 201959
3 201946
4 202444
5 201544
6 201941
7 201638
8 201236
9 201336
10 201835
11 202034
12 201934
13 201734
14 202133
15 202132
16 202031
17 201431
18 201828
19 201723
20 202221

About Fafeng Cheng

Fafeng Cheng is a scholar working on Neurology, Molecular Biology, Epidemiology, Pharmacology and Pharmacology, having authored 66 papers that have together received 1.0k indexed citations. Recurring topics across this work include Flavonoids in Medical Research (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Liver Disease Diagnosis and Treatment (9 papers), Neurological Disease Mechanisms and Treatments (9 papers), Traditional Chinese Medicine Analysis (7 papers), Barrier Structure and Function Studies (6 papers), Plant-based Medicinal Research (4 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Neurology (214 citations), Complementary and alternative medicine (115 citations), Biological Psychiatry (30 citations), Pharmacology (90 citations) and Pharmacology (118 citations). Fafeng Cheng has collaborated with scholars based in China, United States and France. Frequent co-authors include Xueqian Wang, Qingguo Wang, Changxiang Li, Chongyang Ma, Changming Zhai, Tian Xu, Shilin Liu, Xueqian Wang, Qingguo Wang and Wenting Song. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Journal of Ethnopharmacology, Frontiers in Pharmacology, International Journal of Molecular Sciences and Phytomedicine.

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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