Chuan‐Fa Chang
Impact in
- Internal Medicine top 10%
- Immunology top 10%
- Galectins and Cancer Biology
Papers in
- Immunology 11
- Galectins and Cancer Biology 6
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- Blood Coagulation and Thrombosis Mechanisms 5
- Co-authors
- Chi‐Huey Wong (6 shared papers)Chun‐Hung Lin (8 shared papers)Ji Pyng Chiou (1 shared paper)Chi-Ting Su (1 shared paper)Chung‐Yi Wu (4 shared papers)Hua‐Lin Wu (6 shared papers)Jen‐Ren Wang (8 shared papers)Chung‐Sheng Shi (3 shared papers)
- Journals
- PLoS ONE (6 papers)Proceedings of the National Academy of Sciences (2 papers)Blood (2 papers)Viruses (2 papers)Tetrahedron Letters (2 papers)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Chuan‐Fa Chang
49 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 131
- Internal Medicine 47
- Immunology 276
- Aquatic Science 86
- Hematology 128
- Molecular Biology 766
Countries citing papers authored by Chuan‐Fa Chang
This map shows the geographic impact of Chuan‐Fa Chang'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 Chuan‐Fa Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chuan‐Fa Chang more than expected).
Fields of papers citing papers by Chuan‐Fa Chang
This network shows the impact of papers produced by Chuan‐Fa Chang. 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 Chuan‐Fa Chang. The network helps show where Chuan‐Fa Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chuan‐Fa Chang, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 243 | |
| 2 | 2008 | 159 | |
| 3 | 2004 | 126 | |
| 4 | 2003 | 115 | |
| 5 | 2015 | 91 | |
| 6 | 2015 | 63 | |
| 7 | 2019 | 56 | |
| 8 | 2004 | 55 | |
| 9 | 2013 | 51 | |
| 10 | 2012 | 46 | |
| 11 | 2011 | 45 | |
| 12 | 2013 | 41 | |
| 13 | 2012 | 38 | |
| 14 | 2013 | 33 | |
| 15 | 2019 | 33 | |
| 16 | 2015 | 32 | |
| 17 | 2012 | 30 | |
| 18 | 2001 | 29 | |
| 19 | 2011 | 29 | |
| 20 | 2018 | 29 |
About Chuan‐Fa Chang
Chuan‐Fa Chang is a scholar working on Immunology, Hematology, Molecular Biology, Cardiology and Cardiovascular Medicine and Infectious Diseases, having authored 49 papers that have together received 1.7k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (14 papers), Viral Infections and Immunology Research (7 papers), Galectins and Cancer Biology (6 papers), Carbohydrate Chemistry and Synthesis (6 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Respiratory viral infections research (3 papers) and 3D Printing in Biomedical Research (3 papers). The work is most often cited by research in Internal Medicine (47 citations), Immunology (276 citations), Aquatic Science (86 citations), Hematology (128 citations) and Molecular Biology (766 citations). Chuan‐Fa Chang has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Chi‐Huey Wong, Chun‐Hung Lin, Ji Pyng Chiou, Chi-Ting Su, Chung‐Yi Wu, Hua‐Lin Wu, Jen‐Ren Wang, Chung‐Sheng Shi, Bi-Ing Chang and Ya-Fang Wang. Their work appears in journals such as PLoS ONE, Proceedings of the National Academy of Sciences, Blood, Viruses and Tetrahedron Letters.
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.