Duochun Wang

1.4k citations
87 papers · 964 indexed · h-index 18

Impact in

Papers in

Duochun Wang

79 papers receiving 941 citations

Peers

Duochun Wang
Comparison fields: 5 of 99
  • Endocrinology 420
  • Molecular Medicine 182
  • Immunology 264
  • Microbiology 8
  • Food Science 181
Replace Ankur Mutreja with:
Ankur Mutreja United Kingdom
Dominique Clermont France
Pham Hong Nhung Japan
Derek M. Harkins United States
Mahmoud Mabrok Egypt
Mohammad Monir Shah Japan
M T Fera Italy
Rosario Morales-Espinosa Mexico
Michel A Marín Chile
Xi Guo China
Duochun Wang relative to Ankur Mutreja United Kingdom Ankur Mutreja's profile →
Citations per field
00.5×2.7×
Ankur Mutreja · 1×
Citations per year

Countries citing papers authored by Duochun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Duochun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20242
5 20241
6 20232
7 20233
8 202117
9 202011
10 201913
11 20198
12 20161
13 201615
14 20151
15 201421
16 201448
17 201124
18
Molecular epidemiological characteristics of 25 strains of Vibrio parahemolyticus.
20101
19
[Development of TaqMan real-time PCR in detection of Aeromonas hydrophila].
20092
20
Establishment of Vibrio parahaemolyticus detection by duplex TaqMan real-time PCR assay.
20091

About Duochun Wang

Duochun Wang is a scholar working on Endocrinology, Molecular Medicine, Immunology, Clinical Biochemistry and Food Science, having authored 87 papers that have together received 964 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (43 papers), Aquaculture disease management and microbiota (31 papers), Salmonella and Campylobacter epidemiology (18 papers), Antibiotic Resistance in Bacteria (16 papers), Identification and Quantification in Food (13 papers), Genomics and Phylogenetic Studies (10 papers), Bacteriophages and microbial interactions (9 papers) and Bacterial Identification and Susceptibility Testing (9 papers). The work is most often cited by research in Endocrinology (420 citations), Molecular Medicine (182 citations), Immunology (264 citations), Microbiology (8 citations) and Food Science (181 citations). Duochun Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Biao Kan, Zhenzhou Huang, Yue Xiao, Pengcheng Du, Keyi Yu, Hang Dai, Yujie Fang, Yonglu Wang, Fengjuan Li and Haijian Zhou. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Infection Genetics and Evolution, Frontiers in Microbiology, Applied and Environmental Microbiology and PLoS ONE.

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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