Shih‐Han Wang

608 citations
13 papers · 152 · h-index 6

Impact in

Papers in

Shih‐Han Wang

13 papers receiving 151 citations

Peers

Shih‐Han Wang
Comparison fields: 5 of 50
  • Animal Science and Zoology 38
  • Reproductive Medicine 15
  • Pharmacology 30
  • Obstetrics and Gynecology 10
  • Cardiology and Cardiovascular Medicine 27
Replace F. Tschuor with:
F. Tschuor Switzerland
TS Gadd United Kingdom
Ana Patrícia Fontes-Sousa Portugal
Alexandria P Snider United States
Dongdong Yu China
Daniel F. Curran United States
NV Dhurandhar United States
Eva López González Spain
Soo Jin Chae South Korea
Shih‐Han Wang relative to F. Tschuor Switzerland F. Tschuor's profile →
Citations per field
00.5×
F. Tschuor · 1×
Citations per year

Countries citing papers authored by Shih‐Han Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shih‐Han Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201555
2 201136
3
Hyperglycosylated spike of SARS-CoV-2 gamma variant induces breast cancer metastasis.
202114
4 201510
5 20218
6 20217
7 20185
8 20224
9 20164
10 20243
11 20152
12 20242
13 20232

About Shih‐Han Wang

Shih‐Han Wang is a scholar working on Cardiology and Cardiovascular Medicine, Animal Science and Zoology, Obstetrics and Gynecology, Public Health, Environmental and Occupational Health and Psychiatry and Mental health, having authored 13 papers that have together received 152 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (1 paper), Obesity, Physical Activity, Diet (1 paper), Gestational Diabetes Research and Management (1 paper), Heat shock proteins research (1 paper), Aortic Disease and Treatment Approaches (1 paper), Aortic aneurysm repair treatments (1 paper), Animal Nutrition and Physiology (1 paper) and Effects of Environmental Stressors on Livestock (1 paper). The work is most often cited by research in Animal Science and Zoology (38 citations), Reproductive Medicine (15 citations), Pharmacology (30 citations), Obstetrics and Gynecology (10 citations) and Cardiology and Cardiovascular Medicine (27 citations). Shih‐Han Wang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chien‐Hung Lee, Te‐Fu Chan, Chih‐Feng Chen, Pin‐Chi Tang, Yen‐Pai Lee, San‐Yuan Huang, Yung-Chieh Tsai, Chung‐Yu Chang, Te-An Lee and Chin-Ru Ker. Their work appears in journals such as Scientific Reports, Fertility and Sterility, BioMed Research International, British Journal of Clinical Pharmacology and Transplant International.

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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