Yao Zu

1.7k citations
46 papers · 1.1k · h-index 16

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 6
    • CRISPR and Genetic Engineering 6
    • Congenital heart defects research 4
    • RNA modifications and cancer 4
    • Aquaculture disease management and microbiota 9

Yao Zu

44 papers receiving 1.1k citations

Peers

Yao Zu
Comparison fields: 5 of 112
  • Aging 50
  • Business and International Management 44
  • Molecular Biology 724
  • Endocrinology 52
  • Cell Biology 143
Replace Florian Schmidt with:
Florian Schmidt Germany
Gert Van Isterdael Belgium
Karim Benabdellah Spain
Mark Moosburner United States
Xiao Chen China
Chenghui Wang China
Chunyi Hu China
Dieter Egli United States
Yao Zu relative to Florian Schmidt Germany Florian Schmidt's profile →
Citations per field
00.5×10.2×
Florian Schmidt · 1×
Citations per year

Countries citing papers authored by Yao Zu

Since Specialization
Citations

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

Fields of papers citing papers by Yao Zu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013314
2 2013254
3 201560
4 202059
5 201645
6 201937
7 201437
8 201834
9 201829
10 202020
11 202220
12 201919
13 202217
14 201415
15 202115
16 202115
17 201815
18 201913
19 202412
20 202012

About Yao Zu

Yao Zu is a scholar working on Molecular Biology, Immunology, Cell Biology, Cardiology and Cardiovascular Medicine and Endocrinology, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (9 papers), Advanced biosensing and bioanalysis techniques (6 papers), Zebrafish Biomedical Research Applications (6 papers), CRISPR and Genetic Engineering (6 papers), Vibrio bacteria research studies (4 papers), Congenital heart defects research (4 papers), Biosensors and Analytical Detection (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Aging (50 citations), Business and International Management (44 citations), Molecular Biology (724 citations), Endocrinology (52 citations) and Cell Biology (143 citations). Yao Zu has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Xiangjun Tong, Bo Zhang, Shuo Lin, Zuoyan Zhu, Zhanxiang Wang, Peng Huang, Zhou Luo, Yingying Hu, Weiming Li and Qinghua Zhang. Their work appears in journals such as Fish & Shellfish Immunology, Aquaculture and Fisheries, Scientific Reports, Ecotoxicology and Environmental Safety and Biology.

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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