Baowei Diao

666 citations
42 papers · 496 · h-index 14

Impact in

Papers in

    • Vibrio bacteria research studies 28
    • Escherichia coli research studies 5
    • Salmonella and Campylobacter epidemiology 16

Baowei Diao

40 papers receiving 485 citations

Peers

Baowei Diao
Comparison fields: 5 of 62
  • Endocrinology 249
  • Microbiology 79
  • Molecular Medicine 53
  • Food Science 126
  • Immunology 117
Replace Shatavia S. Morrison with:
Shatavia S. Morrison United States
Yeong‐Sheng Lee Taiwan
Jiro Mitobe Japan
Nathalie Bason United Kingdom
L. Sun China
Nathalie Chanteloup France
Shideh Khashe United States
Xiangkai Zhuge China
Cecilia A. Silva-Valenzuela United States
C. Munro Canada
Baowei Diao relative to Shatavia S. Morrison United States Shatavia S. Morrison's profile →
Citations per field
00.5×1.5×2.2×
Shatavia S. Morrison · 1×
Citations per year

Countries citing papers authored by Baowei Diao

Since Specialization
Citations

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

Fields of papers citing papers by Baowei Diao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200681
2 200747
3 201736
4 202031
5 201421
6 201821
7 201720
8 200918
9 201818
10 201617
11 201517
12 201116
13 201615
14 202015
15 202012
16 202210
17 20218
18 20077
19 20137
20 20167

About Baowei Diao

Baowei Diao is a scholar working on Endocrinology, Food Science, Immunology, Molecular Biology and Molecular Medicine, having authored 42 papers that have together received 496 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (28 papers), Salmonella and Campylobacter epidemiology (16 papers), Aquaculture disease management and microbiota (10 papers), Escherichia coli research studies (5 papers), Antibiotic Resistance in Bacteria (5 papers), Bacterial biofilms and quorum sensing (4 papers), Bacteriophages and microbial interactions (4 papers) and Bacterial Identification and Susceptibility Testing (3 papers). The work is most often cited by research in Endocrinology (249 citations), Microbiology (79 citations), Molecular Medicine (53 citations), Food Science (126 citations) and Immunology (117 citations). Baowei Diao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Biao Kan, Zhigang Cui, Bo Pang, Jingyun Zhang, Jie Li, Meiying Yan, Haijian Zhou, Duochun Wang, Pengcheng Du and Weili Liang. Their work appears in journals such as Frontiers in Microbiology, Foodborne Pathogens and Disease, PLoS ONE, International Journal of Infectious Diseases and Journal of Microbiological Methods.

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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