Ying Wei

1.6k citations
60 papers · 1.3k · h-index 22

Impact in

    • Phytochemicals and Antioxidant Activities
    • Antioxidant Activity and Oxidative Stress
    • Oral microbiology and periodontitis research

Papers in

    • Protein Hydrolysis and Bioactive Peptides 9
    • Protein Structure and Dynamics 6
    • RNA and protein synthesis mechanisms 4
    • Phytochemicals and Antioxidant Activities 9

Ying Wei

58 papers receiving 1.3k citations

Peers

Ying Wei
Comparison fields: 5 of 113
  • Biochemistry 250
  • Periodontics 65
  • Pharmaceutical Science 50
  • Pharmacology 67
  • Molecular Biology 487
Replace Maria Chaudhry with:
Maria Chaudhry United States
Sheikh Tasduq Abdullah India
José Manuel Calderón‐Montaño Spain
Mou-Tuan Huang United States
Martin Kello Slovakia
Thomas Ferraro United States
Wonil Koh South Korea
Cristina Campestre Italy
Giuseppe Antonio Malfa Italy
Jo‐Hua Chiang Taiwan
Ying Wei relative to Maria Chaudhry United States Maria Chaudhry's profile →
Citations per field
00.5×
Maria Chaudhry · 1×
Citations per year

Countries citing papers authored by Ying Wei

Since Specialization
Citations

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

Fields of papers citing papers by Ying Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202189
2 201188
3 201482
4 201177
5 201176
6 200760
7 201356
8 200753
9 201048
10 200532
11 201932
12 200831
13 201131
14 202131
15 200429
16 201528
17 202128
18 202126
19 201823
20 201523

About Ying Wei

Ying Wei is a scholar working on Molecular Biology, Biochemistry, Physiology, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 60 papers that have together received 1.3k indexed citations. Recurring topics across this work include Phytochemicals and Antioxidant Activities (9 papers), Protein Hydrolysis and Bioactive Peptides (9 papers), Enzyme Structure and Function (6 papers), Protein Structure and Dynamics (6 papers), Muscle metabolism and nutrition (4 papers), Exercise and Physiological Responses (4 papers), Computational Drug Discovery Methods (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Biochemistry (250 citations), Periodontics (65 citations), Pharmaceutical Science (50 citations), Pharmacology (67 citations) and Molecular Biology (487 citations). Ying Wei has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Mary Jo Ondrechen, Baoping Ji, Yixiang Liu, Feng Zhou, Di Zhang, Leonel F. Murga, Dagmar Ringe, Ruizeng Gu, Shengbao Cai and Dan Wang. Their work appears in journals such as Journal of Food Biochemistry, Journal of the Science of Food and Agriculture, Journal of Agricultural and Food Chemistry, Food Bioscience and Journal of Functional Foods.

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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