Da Teng

4.0k citations
155 papers · 3.2k · h-index 30

Impact in

Papers in

    • Biochemical and Structural Characterization 42
    • Protein Hydrolysis and Bioactive Peptides 23
    • CRISPR and Genetic Engineering 8
    • Antimicrobial Peptides and Activities 82

Da Teng

148 papers receiving 3.1k citations

Peers

Da Teng
Comparison fields: 5 of 136
  • Microbiology 1.4k
  • Biotechnology 256
  • Food Science 530
  • Nutrition and Dietetics 423
  • Molecular Biology 1.7k
Replace Xiumin Wang with:
Xiumin Wang China
Ilse D. Jacobsen Germany
Hisham R. Ibrahim Japan
Edwin J.A. Veldhuizen Netherlands
Knut J. Heller Germany
Hwang‐Soo Joo South Korea
Na Yang China
Tomás G. Villa Spain
Egon Bech Hansen Denmark
Marie‐Pierre Chapot‐Chartier France
Da Teng relative to Xiumin Wang China Xiumin Wang's profile →
Citations per field
00.5×3.6×
Xiumin Wang · 1×
Citations per year

Countries citing papers authored by Da Teng

Since Specialization
Citations

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

Fields of papers citing papers by Da Teng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 155 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006159
2 2011129
3 2020125
4 2022119
5 201392
6 201192
7 201787
8 200771
9 201767
10 201954
11 200653
12 202053
13 201649
14 200548
15 201446
16 201343
17 201841
18 202040
19 201239
20 201137

About Da Teng

Da Teng is a scholar working on Molecular Biology, Microbiology, Food Science, Immunology and Nutrition and Dietetics, having authored 155 papers that have together received 3.2k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (82 papers), Biochemical and Structural Characterization (42 papers), Protein Hydrolysis and Bioactive Peptides (23 papers), Probiotics and Fermented Foods (19 papers), Infant Nutrition and Health (10 papers), Aquaculture disease management and microbiota (9 papers), Bacteriophages and microbial interactions (8 papers) and CRISPR and Genetic Engineering (8 papers). The work is most often cited by research in Microbiology (1.4k citations), Biotechnology (256 citations), Food Science (530 citations), Nutrition and Dietetics (423 citations) and Molecular Biology (1.7k citations). Da Teng has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Jianhua Wang, Ruoyu Mao, Xiumin Wang, Ya Hao, Na Yang, Yalin Yang, Zigang Tian, Qingfeng Guan, Zhanzhan Li and Di Xi. Their work appears in journals such as Applied Microbiology and Biotechnology, Process Biochemistry, Scientific Reports, Frontiers in Microbiology and Antibiotics.

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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