Hung-Pin Chan
Impact in
- Molecular Medicine top 2%
- Hydrogels: synthesis, properties, applications
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
- Supramolecular Self-Assembly in Materials
Papers in
-
- Medical Imaging Techniques and Applications 5
- Radiomics and Machine Learning in Medical Imaging 5
- Radiopharmaceutical Chemistry and Applications 3
- Surgery 6
- Lymphadenopathy Diagnosis and Analysis 2
- Co-authors
- Ming‐Hui Yang (10 shared papers)Chin-Chuan Chang (7 shared papers)Yu‐Chang Tyan (9 shared papers)Kuo‐Pin Chuang (7 shared papers)Tzu‐Chuan Ho (6 shared papers)Tze‐Wen Chung (1 shared paper)Tsai‐Hui Duh (1 shared paper)Chih‐Wen Shu (1 shared paper)
In The Last Decade
Hung-Pin Chan
18 papers receiving 789 citations
Hung-Pin Chan's Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Medicine 186
- Biomaterials 221
- Rehabilitation 78
- Pharmaceutical Science 61
- Biomedical Engineering 236
Countries citing papers authored by Hung-Pin Chan
This map shows the geographic impact of Hung-Pin Chan'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 Hung-Pin Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung-Pin Chan more than expected).
Fields of papers citing papers by Hung-Pin Chan
This network shows the impact of papers produced by Hung-Pin Chan. 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 Hung-Pin Chan. The network helps show where Hung-Pin Chan may publish in the future.
Co-authors
The 19 scholars most cited alongside Hung-Pin Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Hydrogels: Properties and Applications in Biomedicine Hit paper breakdown → | 2022 | 641 |
| 2 | 2021 | 29 | |
| 3 | 2002 | 27 | |
| 4 | 2002 | 23 | |
| 5 | 2019 | 12 | |
| 6 | 2022 | 10 | |
| 7 | 2022 | 10 | |
| 8 | 2017 | 9 | |
| 9 | 2016 | 7 | |
| 10 | 2023 | 5 | |
| 11 | 2021 | 5 | |
| 12 | 2022 | 5 | |
| 13 | 2021 | 3 | |
| 14 | 2021 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 2018 | 2 | |
| 17 | 2021 | 2 | |
| 18 | 2015 | 1 | |
| 19 | 2020 | 0 | |
| 20 | 2024 | 0 |
About Hung-Pin Chan
Hung-Pin Chan is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Pulmonary and Respiratory Medicine, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 20 papers that have together received 795 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Radiopharmaceutical Chemistry and Applications (3 papers), Lymphadenopathy Diagnosis and Analysis (2 papers), IgG4-Related and Inflammatory Diseases (2 papers), Lung Cancer Diagnosis and Treatment (2 papers) and Medical Imaging and Pathology Studies (2 papers). The work is most often cited by research in Molecular Medicine (186 citations), Biomaterials (221 citations), Rehabilitation (78 citations), Pharmaceutical Science (61 citations) and Biomedical Engineering (236 citations). Hung-Pin Chan has collaborated with scholars based in Taiwan, Singapore and China. Frequent co-authors include Ming‐Hui Yang, Chin-Chuan Chang, Yu‐Chang Tyan, Kuo‐Pin Chuang, Tzu‐Chuan Ho, Tze‐Wen Chung, Tsai‐Hui Duh, Chih‐Wen Shu, Hsiun‐ing Chen and Chauying J. Jen. Their work appears in journals such as Vaccines, Medicine, American Journal of Physiology-Heart and Circulatory Physiology, Arteriosclerosis Thrombosis and Vascular Biology and Pathogens.
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.