Cho‐Fat Hui

1.7k citations
47 papers · 1.5k · h-index 25

Impact in

Papers in

    • Aquaculture disease management and microbiota 16
    • Immune Response and Inflammation 6
    • Invertebrate Immune Response Mechanisms 5
    • interferon and immune responses 4
    • Identification and Quantification in Food 5

Cho‐Fat Hui

46 papers receiving 1.5k citations

Peers

Cho‐Fat Hui
Comparison fields: 5 of 94
  • Microbiology 483
  • Aquatic Science 225
  • Immunology 570
  • Horticulture 14
  • Molecular Biology 769
Replace Shengfeng Huang with:
Shengfeng Huang China
Chris J. Secombes United Kingdom
Woo‐Jin Kim South Korea
Futoshi Aranishi Japan
Xiande Huang China
Jian-zhong Shao China
Yanwei Li China
Francesco Buonocore Italy
Qingguo Meng China
Jingqun Ao China
Cho‐Fat Hui relative to Shengfeng Huang China Shengfeng Huang's profile →
Citations per field
00.5×4.7×
Shengfeng Huang · 1×
Citations per year

Countries citing papers authored by Cho‐Fat Hui

Since Specialization
Citations

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

Fields of papers citing papers by Cho‐Fat Hui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cho‐Fat Hui. 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 Cho‐Fat Hui. The network helps show where Cho‐Fat Hui may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992220
2 200891
3 201262
4 201161
5 199459
6 200959
7 201353
8 201648
9 199844
10 201643
11 201742
12
A molecular phylogeny of planthoppers (Hemiptera: Fulgoroidea) inferred from mitochondrial 16S rDNA sequences
200541
13 200440
14 201240
15 201240
16 201538
17 201036
18 200436
19 200931
20 201030

About Cho‐Fat Hui

Cho‐Fat Hui is a scholar working on Immunology, Molecular Biology, Microbiology, Cell Biology and Genetics, having authored 47 papers that have together received 1.5k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (16 papers), Antimicrobial Peptides and Activities (12 papers), Immune Response and Inflammation (6 papers), Invertebrate Immune Response Mechanisms (5 papers), Identification and Quantification in Food (5 papers), Genetic diversity and population structure (4 papers), interferon and immune responses (4 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Microbiology (483 citations), Aquatic Science (225 citations), Immunology (570 citations), Horticulture (14 citations) and Molecular Biology (769 citations). Cho‐Fat Hui has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Jyh‐Yih Chen, Jen‐Leih Wu, Chyng-Shyan Tzeng, P.C. Huang, Chieh‐Yu Pan, Wen‐Bin Yeh, Cheng-Hui Lin, Jen‐Leih Wu, Shih‐Bin Lin and Tzong-Der Tzeng. Their work appears in journals such as Fish & Shellfish Immunology, Peptides, Zoological studies, Nucleic Acids Research and DNA and Cell 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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