Hung Chang
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
Papers in
-
- Lymphoma Diagnosis and Treatment 28
-
- Sarcoma Diagnosis and Treatment 6
- Co-authors
- Yu‐Shin Hung (39 shared papers)Tzung‐Chih Tang (28 shared papers)Po‐Nan Wang (33 shared papers)Ming‐Chung Kuo (41 shared papers)Lee‐Yung Shih (34 shared papers)Jin‐Hou Wu (38 shared papers)Tung‐Liang Lin (18 shared papers)Po Dunn (17 shared papers)
- Journals
- Acta Haematologica (10 papers)European Journal Of Haematology (5 papers)Blood (3 papers)Biomedical Journal (3 papers)Clinical and Experimental Medicine (3 papers)
- Partner nations
- TaiwanUnited StatesSouth Korea
In The Last Decade
Hung Chang
92 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 77
- Hematology 216
- Internal Medicine 46
- Pathology and Forensic Medicine 220
- Genetics 125
- Physiology 46
Countries citing papers authored by Hung Chang
This map shows the geographic impact of Hung 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 Hung Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung Chang more than expected).
Fields of papers citing papers by Hung Chang
This network shows the impact of papers produced by Hung 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 Hung Chang. The network helps show where Hung Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hung 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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 71 | |
| 2 | 2017 | 64 | |
| 3 | 2010 | 40 | |
| 4 | 2009 | 37 | |
| 5 | 2012 | 37 | |
| 6 | 2015 | 37 | |
| 7 | 2006 | 36 | |
| 8 | 2013 | 28 | |
| 9 | 2012 | 28 | |
| 10 | 2015 | 28 | |
| 11 | 2015 | 26 | |
| 12 | 2013 | 24 | |
| 13 | 2014 | 23 | |
| 14 | 2018 | 22 | |
| 15 | 2018 | 20 | |
| 16 | 2018 | 19 | |
| 17 | 2017 | 19 | |
| 18 | 2018 | 18 | |
| 19 | 2011 | 18 | |
| 20 | 2008 | 17 |
About Hung Chang
Hung Chang is a scholar working on Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Hematology, Genetics and Oncology, having authored 101 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (28 papers), CNS Lymphoma Diagnosis and Treatment (12 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (10 papers), Viral-associated cancers and disorders (10 papers), Acute Myeloid Leukemia Research (7 papers), Sarcoma Diagnosis and Treatment (6 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Platelet Disorders and Treatments (5 papers). The work is most often cited by research in Hematology (216 citations), Internal Medicine (46 citations), Pathology and Forensic Medicine (220 citations), Genetics (125 citations) and Physiology (46 citations). Hung Chang has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Yu‐Shin Hung, Tzung‐Chih Tang, Po‐Nan Wang, Ming‐Chung Kuo, Lee‐Yung Shih, Jin‐Hou Wu, Tung‐Liang Lin, Po Dunn, Wen‐Yu Chuang and Wen‐Chi Chou. Their work appears in journals such as Acta Haematologica, European Journal Of Haematology, Blood, Biomedical Journal and Clinical and Experimental Medicine.
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.