Min-Ying Wang

36 papers receiving 591 citations

Peers

Min-Ying Wang
Comparison fields: 5 of 96
  • Epidemiology 213
  • Biotechnology 52
  • Infectious Diseases 78
  • Animal Science and Zoology 43
  • Biomaterials 50
Replace Shinya Shimizu with:
Shinya Shimizu Japan
Idoia Busnadiego Switzerland
Forrest H. Hoyt United States
Nathalie Lejal France
Fabián Salazar United Kingdom
Yuan Zhan China
Conor J. Crawford United States
Min Liao China
Nicolas Dos Santos Pacheco Switzerland
Didier Pin France
Min-Ying Wang relative to Shinya Shimizu Japan Shinya Shimizu's profile →
Citations per field
00.5×2×3×4×4.5×
Shinya Shimizu · 1×
Citations per year

Countries citing papers authored by Min-Ying Wang

Since Specialization
Citations

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

Fields of papers citing papers by Min-Ying Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200769
2 200666
3 201244
4 201339
5 200231
6 200031
7 201228
8 201127
9 200622
10 202020
11 201920
12 201419
13 200817
14 200516
15 199416
16 201215
17
One-step reverse-transcription loop-mediated isothermal amplification for detection of infectious bursal disease virus.
201114
18 201913
19 201612
20 200310

About Min-Ying Wang

Min-Ying Wang is a scholar working on Epidemiology, Biomaterials, Public Health, Environmental and Occupational Health, Insect Science and Molecular Biology, having authored 37 papers that have together received 604 indexed citations. Recurring topics across this work include Virology and Viral Diseases (17 papers), Mosquito-borne diseases and control (8 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Diatoms and Algae Research (5 papers), Protein purification and stability (4 papers), Trypanosoma species research and implications (4 papers), Vector-Borne Animal Diseases (4 papers) and Insect symbiosis and bacterial influences (3 papers). The work is most often cited by research in Epidemiology (213 citations), Biotechnology (52 citations), Infectious Diseases (78 citations), Animal Science and Zoology (43 citations) and Biomaterials (50 citations). Min-Ying Wang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Shing‐Yi Suen, Andrew H.-J. Wang, Meng‐Shiou Lee, Chia‐Cheng Chou, Tzu‐Ping Ko, Chien‐Chung Lee, Masato Yoshimura, Ssu-Ming Huang, Rekha Thiruvengadam and Chi‐Wen Lo. Their work appears in journals such as Process Biochemistry, Journal of the Taiwan Institute of Chemical Engineers, Analytical Chemistry, Journal of Chromatography B and International Journal of Biological Macromolecules.

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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