Yinfeng Yang

6.6k citations
59 papers · 4.7k indexed · 2 hit papers · h-index 17

Impact in

Papers in

Yinfeng Yang

54 papers receiving 4.7k citations

Hit Papers

The role of BCL-2 family proteins in regulating apoptosis and cancer therapy 2022 · 532 citations
532201420262018202210002.0k3.0k

Peers

Yinfeng Yang
Comparison fields: 5 of 138
  • Pharmacology 1.5k
  • Complementary and alternative medicine 1.1k
  • Computational Theory and Mathematics 876
  • Pharmacology 762
  • Biological Psychiatry 101
Replace Zihu Guo with:
Zihu Guo China
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Citations per field
00.5×5.5×
Zihu Guo · 1×
Citations per year

Countries citing papers authored by Yinfeng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yinfeng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20252
4 20250
5 20251
6 20252
7 20236
8 202318
9 20213
10 201914
11 201918
12 201816
13 201812
14 201732
15 201776
16 20159
17 201315
18 201340
19
Research Progress of Polymorphism and Expression of Defensins in vivo of Livestock
20133
20
Enzyme kinetics and molecular modeling studies of G6PD(Mahidol) associated with acute hemolytic anemia.
20113

About Yinfeng Yang

Yinfeng Yang is a scholar working on Microbiology, Complementary and alternative medicine, Pharmacology, Computational Theory and Mathematics and Health Informatics, having authored 59 papers that have together received 4.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Antimicrobial Peptides and Activities (8 papers), Pharmacological Effects of Natural Compounds (5 papers), Ginkgo biloba and Cashew Applications (4 papers), Probiotics and Fermented Foods (4 papers), Biochemical and Structural Characterization (4 papers), Synthesis and biological activity (3 papers) and Traditional Chinese Medicine Analysis (3 papers). The work is most often cited by research in Pharmacology (1.5k citations), Complementary and alternative medicine (1.1k citations), Computational Theory and Mathematics (876 citations), Pharmacology (762 citations) and Biological Psychiatry (101 citations). Yinfeng Yang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ling Yang, Yonghua Wang, Weiyang Tao, Yan Li, Jinlong Ru, Xue Xu, Jinan Wang, Zihu Guo, Peng Li and Bohui Li. Their work appears in journals such as Journal of Ethnopharmacology, ACS Omega, Medicine, Phytomedicine and Molecular BioSystems.

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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