Wei-Shan Chang

937 citations
42 papers · 615 indexed · h-index 15

Impact in

Papers in

Wei-Shan Chang

39 papers receiving 612 citations

Peers

Wei-Shan Chang
Comparison fields: 5 of 91
  • Molecular Medicine 66
  • Endocrinology 50
  • Infectious Diseases 165
  • Animal Science and Zoology 82
  • Microbiology 35
Replace Yongdong Li with:
Yongdong Li China
Franco Pagotto Canada
Thachamvally Riyesh India
Lisa Mullis United States
Guerrino Macori Ireland
Kun‐Wei Chan Taiwan
Sylvia Kleta Germany
Ha-Na Youn South Korea
Buffy Stahl United States
Dusko Ehrlich France
Wei-Shan Chang relative to Yongdong Li China Yongdong Li's profile →
Citations per field
00.5×1.6×
Yongdong Li · 1×
Citations per year

Countries citing papers authored by Wei-Shan Chang

Since Specialization
Citations

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

Fields of papers citing papers by Wei-Shan Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei-Shan Chang. 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 Wei-Shan Chang. The network helps show where Wei-Shan Chang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20246
3 20235
4 202312
5 20227
6 202020
7 202014
8 201953
9 201915
10 201756
11 201782
12 201758
13 201522
14 20143
15 20132
16
Development and Application of Real-time PCR for Detection of Avian Leukosis Virus Subgroup J
20121
17 20111
18 20088
19
Cloning of MxA Gene from Chickens and Its Expression in Escherichia coli
20070
20
Apoptosis of chicken thymus cells induced by REV and ALV-J
20070

About Wei-Shan Chang

Wei-Shan Chang is a scholar working on Horticulture, Microbiology, Endocrinology, Virology and Molecular Medicine, having authored 42 papers that have together received 615 indexed citations. Recurring topics across this work include Microbial infections and disease research (5 papers), Virus-based gene therapy research (4 papers), Influenza Virus Research Studies (4 papers), Animal Virus Infections Studies (4 papers), Plant Virus Research Studies (4 papers), Animal Disease Management and Epidemiology (4 papers), interferon and immune responses (3 papers) and Phytoplasmas and Hemiptera pathogens (3 papers). The work is most often cited by research in Molecular Medicine (66 citations), Endocrinology (50 citations), Infectious Diseases (165 citations), Animal Science and Zoology (82 citations) and Microbiology (35 citations). Wei-Shan Chang has collaborated with scholars based in China, Australia and Taiwan. Frequent co-authors include Edward C. Holmes, John‐Sebastian Eden, Mǎng Shī, Karrie Rose, Hui‐Wen Chen, Che‐Ming Jack Hu, Yu Wang, Lucy Sun Hwang, Wei‐Lun Hung and Xiaonan Zhao. Their work appears in journals such as Viruses, One Health, Virus Evolution, Plant Disease and Journal of Virology.

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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