Na Yang

3.8k citations
144 papers · 2.8k indexed · h-index 28

Impact in

Papers in

    • Antimicrobial Peptides and Activities 58
    • Biochemical and Structural Characterization 28
    • Genomics and Phylogenetic Studies 17
    • Protein Hydrolysis and Bioactive Peptides 13

Na Yang

139 papers receiving 2.8k citations

Peers

Na Yang
Comparison fields: 5 of 142
  • Microbiology 842
  • Biotechnology 259
  • Molecular Biology 1.5k
  • Pharmacology 331
  • Immunology 402
Replace Chang‐Jer Wu with:
Chang‐Jer Wu Taiwan
Jeyaprakash Rajendhran India
Mukesh Pasupuleti India
Ya‐Wen He China
Diego Romero Spain
Bo Han China
Chamilani Nikapitiya South Korea
José T.A. Oliveira Brazil
Olga Kofroňová Czechia
Liancheng Lei China
Na Yang relative to Chang‐Jer Wu Taiwan Chang‐Jer Wu's profile →
Citations per field
00.5×1.5×2.2×
Chang‐Jer Wu · 1×
Citations per year

Countries citing papers authored by Na Yang

Since Specialization
Citations

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

Fields of papers citing papers by Na Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20244
5 20241
6 20243
7 20243
8 20247
9 20242
10 20249
11 20241
12 202318
13 202316
14 20237
15 202334
16 202311
17 202214
18 202037
19 20155
20 201424

About Na Yang

Na Yang is a scholar working on Microbiology, Microbiology, Molecular Biology, Biotechnology and Immunology, having authored 144 papers that have together received 2.8k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (58 papers), Biochemical and Structural Characterization (28 papers), Genomics and Phylogenetic Studies (17 papers), Protein Hydrolysis and Bioactive Peptides (13 papers), Microbial Natural Products and Biosynthesis (12 papers), Probiotics and Fermented Foods (11 papers), Aquaculture disease management and microbiota (9 papers) and Microbial Community Ecology and Physiology (8 papers). The work is most often cited by research in Microbiology (842 citations), Biotechnology (259 citations), Molecular Biology (1.5k citations), Pharmacology (331 citations) and Immunology (402 citations). Na Yang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Da Teng, Jianhua Wang, Ruoyu Mao, Ya Hao, Xiumin Wang, Ling Cheng, Fuhang Song, Zhanzhan Li, Lixin Zhang and Xiao Wang. Their work appears in journals such as Applied Microbiology and Biotechnology, Frontiers in Microbiology, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Marine Drugs 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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