Ching‐Lin Shyu

670 citations
27 papers · 526 · h-index 14

Impact in

Papers in

    • Genomics and Phylogenetic Studies 4
    • Antimicrobial Peptides and Activities 4
    • Microbial infections and disease research 2

Ching‐Lin Shyu

27 papers receiving 513 citations

Peers

Ching‐Lin Shyu
Comparison fields: 5 of 89
  • Microbiology 82
  • Endocrinology 42
  • Molecular Medicine 38
  • Food Science 112
  • Parasitology 27
Replace Sergio A. Bucarey with:
Sergio A. Bucarey Chile
Li Tan China
Sajjad Ur Rahman Pakistan
Sherif Marouf Egypt
Wei-Shan Chang China
Jonathas Sales de Oliveira Brazil
Iuliana V. Ene United States
Daniela Santos Pontes Brazil
Syed Shah Hassan Pakistan
Qin Zhao China
Ching‐Lin Shyu relative to Sergio A. Bucarey Chile Sergio A. Bucarey's profile →
Citations per field
00.5×1.7×
Sergio A. Bucarey · 1×
Citations per year

Countries citing papers authored by Ching‐Lin Shyu

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Lin Shyu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Lin Shyu. 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 Ching‐Lin Shyu. The network helps show where Ching‐Lin Shyu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201680
2 201047
3 201342
4 201137
5 201035
6 200731
7 201130
8 201128
9 201322
10 201222
11 201017
12 201415
13 201115
14 201313
15 201212
16 201212
17 201411
18 201111
19 20157
20 20166

About Ching‐Lin Shyu

Ching‐Lin Shyu is a scholar working on Molecular Biology, Microbiology, Food Science, Infectious Diseases and Small Animals, having authored 27 papers that have together received 526 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Antimicrobial Peptides and Activities (4 papers), Aquaculture disease management and microbiota (3 papers), Venomous Animal Envenomation and Studies (3 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Insect and Pesticide Research (2 papers), Microbial infections and disease research (2 papers) and Salmonella and Campylobacter epidemiology (2 papers). The work is most often cited by research in Microbiology (82 citations), Endocrinology (42 citations), Molecular Medicine (38 citations), Food Science (112 citations) and Parasitology (27 citations). Ching‐Lin Shyu has collaborated with scholars based in Taiwan, United States and Indonesia. Frequent co-authors include Chao‐Ming Wang, Zong‐Yen Wu, Yun‐Lian Jhan, Shu-Peng Ho, Chen-Hsing Chou, Wu‐Chun Tu, Kwong‐Chung Tung, Ren‐Jye Lee, Chi‐Chung Chou and Shyh‐Horng Chiou. Their work appears in journals such as Peptides, Veterinary Microbiology, Microbial Ecology, Membranes and Journal of the Science of Food and Agriculture.

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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