Shih‐Chung Wang
Impact in
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
-
- Hemoglobinopathies and Related Disorders
Papers in
-
- Acute Myeloid Leukemia Research 4
- Chronic Myeloid Leukemia Treatments 3
- Surgery 5
- Diagnosis and Treatment of Venous Diseases 4
- Co-authors
- Kuo‐Sin Lin (2 shared papers)Jimmy P.S. Chern (2 shared papers)Kai‐Hsin Lin (2 shared papers)Meng‐Yao Lu (4 shared papers)Dong‐Tsamn Lin (2 shared papers)Jun‐Kai Kao (3 shared papers)Cheng‐Han Lee (1 shared paper)Jeng‐Jer Shieh (3 shared papers)
- Journals
- Journal of Clinical Oncology (1 paper)Journal of Dermatological Science (1 paper)Medicine (1 paper)Journal of Molecular Diagnostics (1 paper)Blood (1 paper)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Shih‐Chung Wang
20 papers receiving 258 citations
Peers
Comparison fields: 5 of 59
- Internal Medicine 29
- Genetics 58
- Hematology 51
- Emergency Medical Services 13
- Complementary and alternative medicine 16
Countries citing papers authored by Shih‐Chung Wang
This map shows the geographic impact of Shih‐Chung 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‐Chung 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‐Chung Wang more than expected).
Fields of papers citing papers by Shih‐Chung Wang
This network shows the impact of papers produced by Shih‐Chung 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‐Chung Wang. The network helps show where Shih‐Chung Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shih‐Chung Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 44 | |
| 2 | 2003 | 38 | |
| 3 | 2018 | 32 | |
| 4 | 2020 | 27 | |
| 5 | 2005 | 23 | |
| 6 | 2023 | 22 | |
| 7 | 2019 | 20 | |
| 8 | 2013 | 10 | |
| 9 | 2013 | 9 | |
| 10 | 2020 | 8 | |
| 11 | 2021 | 7 | |
| 12 | 2023 | 5 | |
| 13 | 2021 | 5 | |
| 14 | 2015 | 4 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2023 | 1 |
About Shih‐Chung Wang
Shih‐Chung Wang is a scholar working on Hematology, Surgery, Genetics, Molecular Biology and Oncology, having authored 24 papers that have together received 263 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Diagnosis and Treatment of Venous Diseases (4 papers), Cancer Cells and Metastasis (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Central Venous Catheters and Hemodialysis (2 papers), Immune cells in cancer (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Internal Medicine (29 citations), Genetics (58 citations), Hematology (51 citations), Emergency Medical Services (13 citations) and Complementary and alternative medicine (16 citations). Shih‐Chung Wang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Kuo‐Sin Lin, Jimmy P.S. Chern, Kai‐Hsin Lin, Meng‐Yao Lu, Dong‐Tsamn Lin, Jun‐Kai Kao, Cheng‐Han Lee, Jeng‐Jer Shieh, Shi‐Wei Huang and Ming-Sheng Lee. Their work appears in journals such as Journal of Clinical Oncology, Journal of Dermatological Science, Medicine, Journal of Molecular Diagnostics and Blood.
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.