Chao‐Hui Chang
Impact in
- Pollution top 10%
- Wastewater Treatment and Nitrogen Removal
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- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Bioinformatics and Genomic Networks 2
- Machine Learning in Bioinformatics 1
- Oncology 4
- Cancer Cells and Metastasis 3
- Pancreatic and Hepatic Oncology Research 2
- Co-authors
- Siim Pauklin (5 shared papers)Oliver J. Hao (1 shared paper)Chi‐Ying F. Huang (2 shared papers)Sheng‐An Lee (2 shared papers)Jin-Mei Lai (2 shared papers)Chueh‐Chuan Yen (1 shared paper)Kun‐Mao Chao (1 shared paper)Jinn‐Moon Yang (1 shared paper)
- Journals
- Stem Cells (1 paper)British Journal of Haematology (1 paper)Cell Death and Disease (1 paper)Nature Communications (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United KingdomTaiwanUnited States
In The Last Decade
Chao‐Hui Chang
12 papers receiving 415 citations
Peers
Comparison fields: 5 of 81
- Pollution 81
- Cancer Research 87
- Industrial and Manufacturing Engineering 39
- Oncology 93
- Molecular Biology 226
Countries citing papers authored by Chao‐Hui Chang
This map shows the geographic impact of Chao‐Hui 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 Chao‐Hui Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao‐Hui Chang more than expected).
Fields of papers citing papers by Chao‐Hui Chang
This network shows the impact of papers produced by Chao‐Hui 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 Chao‐Hui Chang. The network helps show where Chao‐Hui Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chao‐Hui 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
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 94 | |
| 2 | 2008 | 78 | |
| 3 | 2021 | 65 | |
| 4 | 2021 | 47 | |
| 5 | 2007 | 42 | |
| 6 | 2012 | 27 | |
| 7 | 2022 | 24 | |
| 8 | 2020 | 23 | |
| 9 | 2016 | 18 | |
| 10 | 2024 | 11 | |
| 11 | 2004 | 3 | |
| 12 | Jam-a is highly expressed on human hematopoietic repopulating cells and associates with the key hematopoietic chemokine receptor cxcr4: JAM-A on human hematopoietic stem cells | 2016 | 1 |
About Chao‐Hui Chang
Chao‐Hui Chang is a scholar working on Molecular Biology, Oncology, Hematology, Immunology and Cancer Research, having authored 12 papers that have together received 433 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Bioinformatics and Genomic Networks (2 papers), Immunotherapy and Immune Responses (2 papers), Pancreatic function and diabetes (1 paper), Machine Learning in Bioinformatics (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Pollution (81 citations), Cancer Research (87 citations), Industrial and Manufacturing Engineering (39 citations), Oncology (93 citations) and Molecular Biology (226 citations). Chao‐Hui Chang has collaborated with scholars based in United Kingdom, Taiwan and United States. Frequent co-authors include Siim Pauklin, Oliver J. Hao, Chi‐Ying F. Huang, Sheng‐An Lee, Jin-Mei Lai, Chueh‐Chuan Yen, Kun‐Mao Chao, Jinn‐Moon Yang, Yi‐Ren Hong and Tzu-Ling Tseng. Their work appears in journals such as Stem Cells, British Journal of Haematology, Cell Death and Disease, Nature Communications and BMC Bioinformatics.
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.