Yao‐Hsu Yang

222 papers receiving 3.5k citations

Hit Papers

The potential chemical structure of anti‐SARS‐CoV‐2 RNA‐dependent RNA polymerase 2020 · 225 citations
2250+2+4Years since publication50100150200

Peers

Yao‐Hsu Yang
Comparison fields: 5 of 145
  • Otorhinolaryngology 152
  • Biological Psychiatry 81
  • Hepatology 218
  • Complementary and alternative medicine 208
  • Pharmacology 208
Replace Anil Bhansali with:
Anil Bhansali India
Mona Boaz Israel
Conghui Han China
Hung‐Chun Chen Taiwan
Yohei Kawasaki Japan
Yoshiyuki Ohno Japan
Rocco Barazzoni Italy
Xingdong Chen China
David Hervás Spain
Noriko Tanaka Japan
Yao‐Hsu Yang relative to Anil Bhansali India Anil Bhansali's profile →
Citations per field
00.5×3.4×
Anil Bhansali · 1×
Citations per year

Countries citing papers authored by Yao‐Hsu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yao‐Hsu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 234 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The potential chemical structure of anti‐SARS‐CoV‐2 RNA‐dependent RNA polymerase
Hit paper breakdown →
2020225
2 2017198
3 2017111
4 201994
5 201380
6 201578
7 201763
8 201855
9 202152
10 201749
11 199648
12 201645
13 201845
14 201544
15 201743
16 201740
17 201738
18 201838
19 201038
20 201737

About Yao‐Hsu Yang

Yao‐Hsu Yang is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Epidemiology, Cardiology and Cardiovascular Medicine and Infectious Diseases, having authored 234 papers that have together received 3.5k indexed citations. Recurring topics across this work include Otolaryngology and Infectious Diseases (16 papers), Traditional Chinese Medicine Analysis (11 papers), Liver Disease Diagnosis and Treatment (11 papers), Infectious Diseases and Tuberculosis (10 papers), Asthma and respiratory diseases (9 papers), Gastric Cancer Management and Outcomes (9 papers), Head and Neck Cancer Studies (9 papers) and Streptococcal Infections and Treatments (9 papers). The work is most often cited by research in Otorhinolaryngology (152 citations), Biological Psychiatry (81 citations), Hepatology (218 citations), Complementary and alternative medicine (208 citations) and Pharmacology (208 citations). Yao‐Hsu Yang has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Pau‐Chung Chen, Ming‐Shao Tsai, Ching‐Yuan Wu, Vincent Chin‐Hung Chen, Geng‐He Chang, Yao‐Te Tsai, Wen‐Cheng Chen, Meng‐Hung Lin, Chuan-Pin Lee and Yu‐Ching Cheng. Their work appears in journals such as Medicine, PLoS ONE, Scientific Reports, Journal of Affective Disorders and Journal of Clinical Medicine.

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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