Shih-Te Chuang

656 citations
33 papers · 474 · h-index 13

Impact in

Papers in

Shih-Te Chuang

32 papers receiving 463 citations

Peers

Shih-Te Chuang
Comparison fields: 5 of 60
  • Parasitology 222
  • Infectious Diseases 189
  • Agronomy and Crop Science 111
  • Virology 41
  • Microbiology 33
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Bazartseren Boldbaatar Mongolia
Adriano de Oliveira Torres Carrasco Brazil
Myriam Thomas France
Heba S. El-Mahallawy Egypt
Sidnei Miyoshi Sakamoto Brazil
Werner Okano Brazil
Xue Leng China
Swaraj Rajkhowa India
Fernanda Simone Marks Brazil
Mustapha M. Berri France
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Citations per field
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Citations per year

Countries citing papers authored by Shih-Te Chuang

Since Specialization
Citations

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

Fields of papers citing papers by Shih-Te Chuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih-Te Chuang. 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 Shih-Te Chuang. The network helps show where Shih-Te Chuang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011102
2 201045
3 202034
4 200833
5 201029
6 202225
7 201624
8 201421
9 202115
10 202214
11 201913
12 202012
13 202112
14 201312
15 201111
16 200710
17 201110
18 20158
19 20236
20 20255

About Shih-Te Chuang

Shih-Te Chuang is a scholar working on Agronomy and Crop Science, Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Molecular Biology and Parasitology, having authored 33 papers that have together received 474 indexed citations. Recurring topics across this work include Viral Infections and Vectors (8 papers), Milk Quality and Mastitis in Dairy Cows (7 papers), Vector-Borne Animal Diseases (6 papers), Bartonella species infections research (5 papers), Microbial infections and disease research (5 papers), Vector-borne infectious diseases (5 papers), Ruminant Nutrition and Digestive Physiology (4 papers) and Animal Disease Management and Epidemiology (4 papers). The work is most often cited by research in Parasitology (222 citations), Infectious Diseases (189 citations), Agronomy and Crop Science (111 citations), Virology (41 citations) and Microbiology (33 citations). Shih-Te Chuang has collaborated with scholars based in Taiwan, United States and France. Frequent co-authors include Chao‐Chin Chang, Bruno B. Chomel, Yi‐Lun Tsai, Sarah Bonnet, Philip H. Kass, Yi-Yang Lien, Kuanyi Li, Wei‐Li Hsu, Day‐Yu Chao and Gwong‐Jen J. Chang. Their work appears in journals such as Animals, The Veterinary Journal, Frontiers in Veterinary Science, Journal of Equine Veterinary Science and Comparative Immunology Microbiology and Infectious Diseases.

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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