Hsin‐Yao Wang

57 papers receiving 1.3k citations

Peers

Hsin‐Yao Wang
Comparison fields: 5 of 141
  • Clinical Biochemistry 230
  • Health Informatics 20
  • Molecular Medicine 71
  • Applied Microbiology and Biotechnology 23
  • Otorhinolaryngology 33
Replace Jay Chhablani with:
Jay Chhablani India
Jie Cao China
Jin Yuan China
Jennifer I. Lim United States
Jingye Pan China
Vito Romano Italy
Hardik J. Pandya India
Seenu M. Hariprasad United States
Jae Hoon Lee South Korea
In Ho Park South Korea
Hsin‐Yao Wang relative to Jay Chhablani India Jay Chhablani's profile →
Citations per field
00.5×7.7×
Jay Chhablani · 1×
Citations per year

Countries citing papers authored by Hsin‐Yao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hsin‐Yao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsin‐Yao 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 Hsin‐Yao Wang. The network helps show where Hsin‐Yao Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012153
2 201889
3 201974
4 202062
5 201649
6 201846
7 201841
8 201739
9 202238
10 201836
11 201836
12 201036
13 201932
14 201927
15 202027
16 202027
17 201927
18 201727
19 201526
20 201925

About Hsin‐Yao Wang

Hsin‐Yao Wang is a scholar working on Clinical Biochemistry, Infectious Diseases, Biomedical Engineering, Epidemiology and Molecular Medicine, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (18 papers), Antimicrobial Resistance in Staphylococcus (10 papers), Antibiotic Resistance in Bacteria (7 papers), Biosensors and Analytical Detection (5 papers), 3D Printing in Biomedical Research (5 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Mycobacterium research and diagnosis (3 papers) and Microfluidic and Bio-sensing Technologies (3 papers). The work is most often cited by research in Clinical Biochemistry (230 citations), Health Informatics (20 citations), Molecular Medicine (71 citations), Applied Microbiology and Biotechnology (23 citations) and Otorhinolaryngology (33 citations). Hsin‐Yao Wang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Jang‐Jih Lu, Min‐Hsien Wu, Yi‐Ju Tseng, Wan-Ying Lin, Chun-Hsien Chen, Tzong-Yi Lee, Song-Bin Huang, Chia‐Ru Chung, Jorng‐Tzong Horng and Jang-Jih Lu. Their work appears in journals such as Frontiers in Microbiology, Sensors and Actuators B Chemical, Briefings in Bioinformatics, Scientific Reports and Journal of Medical Internet Research.

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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