Chia-Hua Wu
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Endocrinology, Diabetes and Metabolism
- Cancer Research
- Surgery
- Co-authors
- Hong LüAlan DaughertyShayan MohammadmoradiJeff Z. ChenHisashi SawadaMark J. GrahamAdam E. MullickRosanne M. Crooke
- Topics
- Renin-Angiotensin System Studies (6 papers)Hormonal Regulation and Hypertension (6 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismCancer Research
- Journals
- Applied and Environmental MicrobiologyHypertensionArteriosclerosis Thrombosis and Vascular Biology
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chia-Hua Wu
18 papers receiving 366 citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 145
- Cardiology and Cardiovascular Medicine 129
- Endocrinology, Diabetes and Metabolism 92
- Cancer Research 42
- Surgery 35
Countries citing papers authored by Chia-Hua Wu
This map shows the geographic impact of Chia-Hua Wu'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 Chia-Hua Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia-Hua Wu more than expected).
Fields of papers citing papers by Chia-Hua Wu
This network shows the impact of papers produced by Chia-Hua Wu. 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 Chia-Hua Wu. The network helps show where Chia-Hua Wu may publish in the future.
Co-authorship network of co-authors of Chia-Hua Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Chia-Hua Wu. A scholar is included among the top collaborators of Chia-Hua Wu 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 Chia-Hua Wu. Chia-Hua Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 11 | |
| 4 | 14 | |
| 5 | 13 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 7 | |
| 12 | 10 | |
| 13 | 126 | |
| 14 | 41 | |
| 15 | 70 | |
| 16 | 4 | |
| 17 | 47 | |
| 18 | Necrotizing enterocolitis complicated with perforation in extremely low birth-weight premature infants. | 5 |
About Chia-Hua Wu
Chia-Hua Wu is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 369 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (6 papers), Hormonal Regulation and Hypertension (6 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (129 citations), Endocrinology, Diabetes and Metabolism (92 citations) and Cancer Research (42 citations). Chia-Hua Wu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Hong Lü, Alan Daugherty, Shayan Mohammadmoradi, Jeff Z. Chen, Hisashi Sawada, Mark J. Graham, Adam E. Mullick, Rosanne M. Crooke, Joel Thompson and Ming Gong. Their work appears in journals such as Applied and Environmental Microbiology, Hypertension and Arteriosclerosis Thrombosis and Vascular Biology.
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.