Shiow‐Ing Wang
- Infectious Diseases top 10%
- Neurology top 5%
- Cardiology and Cardiovascular Medicine
- Surgery
- Endocrinology, Diabetes and Metabolism
- Co-authors
- James Cheng‐Chung WeiWeijie WangHuiyuan ChenRenin ChangYao‐Min HungFu‐Shun YenChiao‐Yin SunVin‐Cent Wu
- Topics
- SARS-CoV-2 and COVID-19 Research (6 papers)COVID-19 Clinical Research Studies (6 papers)Long-Term Effects of COVID-19 (5 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismInternational Journal of Molecular SciencesCHEST Journal
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Shiow‐Ing Wang
32 papers receiving 586 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Infectious Diseases 205
- Neurology 200
- Cardiology and Cardiovascular Medicine 69
- Surgery 63
- Endocrinology, Diabetes and Metabolism 63
Countries citing papers authored by Shiow‐Ing Wang
This map shows the geographic impact of Shiow‐Ing 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 Shiow‐Ing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiow‐Ing Wang more than expected).
Fields of papers citing papers by Shiow‐Ing Wang
This network shows the impact of papers produced by Shiow‐Ing 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 Shiow‐Ing Wang. The network helps show where Shiow‐Ing Wang may publish in the future.
Co-authorship network of co-authors of Shiow‐Ing Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Shiow‐Ing Wang. A scholar is included among the top collaborators of Shiow‐Ing Wang 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 Shiow‐Ing Wang. Shiow‐Ing Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 8 | |
| 13 | 36 | |
| 14 | 0 | |
| 15 | 2 | |
| 16 | 5 | |
| 17 | 9 | |
| 18 | Risk of autoimmune diseases in patients with COVID-19: a retrospective cohort studybreakdown → | 159 |
| 19 | 29 | |
| 20 | Long-term cardiovascular outcomes in COVID-19 survivors among non-vaccinated population: A retrospective cohort study from the TriNetX US collaborative networksbreakdown → | 216 |
About Shiow‐Ing Wang
Shiow‐Ing Wang is a scholar working on Rheumatology, Infectious Diseases and Nephrology, having authored 40 papers that have together received 593 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (6 papers) and Long-Term Effects of COVID-19 (5 papers). The work is most often cited by research in Neurology (200 citations), Infectious Diseases (205 citations) and Critical Care and Intensive Care Medicine (29 citations). Shiow‐Ing Wang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include James Cheng‐Chung Wei, Weijie Wang, Huiyuan Chen, Renin Chang, Yao‐Min Hung, Fu‐Shun Yen, Chiao‐Yin Sun, Vin‐Cent Wu, Heng‐Chih Pan and Hsing‐Yu Chen. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Molecular Sciences and CHEST Journal.
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.