Yu‐Hsuan Wu

2.0k total citations
54 papers, 1.6k citations indexed

About

Yu‐Hsuan Wu is a scholar working on Molecular Biology, Biotechnology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Yu‐Hsuan Wu has authored 54 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Biotechnology and 12 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Yu‐Hsuan Wu's work include Mosquito-borne diseases and control (12 papers), Microbial Inactivation Methods (11 papers) and Viral Infections and Vectors (6 papers). Yu‐Hsuan Wu is often cited by papers focused on Mosquito-borne diseases and control (12 papers), Microbial Inactivation Methods (11 papers) and Viral Infections and Vectors (6 papers). Yu‐Hsuan Wu collaborates with scholars based in Taiwan, United States and Italy. Yu‐Hsuan Wu's co-authors include Jin‐Ching Lee, P. Thomas Vernier, Martin A. Gundersen, Chun‐Kuang Lin, Wei‐Chun Chen, Chin-Kai Tseng, Tina Batista Napotnik, Damijan Miklavčič, Zachary A. Levine and Yen‐Hsu Chen and has published in prestigious journals such as Nucleic Acids Research, Advanced Materials and PLoS ONE.

In The Last Decade

Yu‐Hsuan Wu

54 papers receiving 1.6k citations

Peers

Yu‐Hsuan Wu
Comparison fields: 5 of 131
  • Molecular Biology 447
  • Biotechnology 379
  • Biomedical Engineering 324
  • Public Health, Environmental and Occupational Health 283
  • Infectious Diseases 248
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Gordana Bogdanović Serbia
Marie Breton France
Liangxing Wang China
Hongming Chen China
Massimo Fantini Italy
Zi Li China
Aysun Adan Türkiye
François Bécher France
Qi Zeng China
Prashant Desai United States
Gordana Bogdanović Serbia View profile →
Citations per field, relative to Yu‐Hsuan Wu
Yu‐Hsuan Wu · 1×
Citations per year, relative to Yu‐Hsuan Wu
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Countries citing papers authored by Yu‐Hsuan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Hsuan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Hsuan Wu. 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 Yu‐Hsuan Wu. The network helps show where Yu‐Hsuan Wu may publish in the future.

Co-authorship network of co-authors of Yu‐Hsuan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Hsuan Wu. A scholar is included among the top collaborators of Yu‐Hsuan Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yu‐Hsuan Wu. Yu‐Hsuan Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 10
2 7
3 3
4 1
5 3
6 6
7 46
8 20
9 23
10 62
11 36
12 61
13 27
14 11
15 7
16 138
17 1
18 41
19 2
20 110

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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