Hsiu‐Ching Chang
- Immunology top 2%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology top 10%
- Immunology and Allergy top 5%
- Co-authors
- Ellis L. ReinherzYi XiongPetra KernPhilippe MoingeonAndrés AlcoverRebecca E. HusseyTetsuya MoriuchiJack Silver
- Topics
- T-cell and B-cell Immunology (26 papers)Immune Cell Function and Interaction (22 papers)Monoclonal and Polyclonal Antibodies Research (14 papers)
- Partner nations
- United StatesTaiwanFrance
In The Last Decade
Hsiu‐Ching Chang
37 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 101
- Immunology 1.5k
- Molecular Biology 458
- Radiology, Nuclear Medicine and Imaging 397
- Oncology 275
- Immunology and Allergy 133
Countries citing papers authored by Hsiu‐Ching Chang
This map shows the geographic impact of Hsiu‐Ching 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 Hsiu‐Ching Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsiu‐Ching Chang more than expected).
Fields of papers citing papers by Hsiu‐Ching Chang
This network shows the impact of papers produced by Hsiu‐Ching 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 Hsiu‐Ching Chang. The network helps show where Hsiu‐Ching Chang may publish in the future.
Co-authorship network of co-authors of Hsiu‐Ching Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Hsiu‐Ching Chang. A scholar is included among the top collaborators of Hsiu‐Ching Chang 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 Hsiu‐Ching Chang. Hsiu‐Ching Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 15 | |
| 5 | 2 | |
| 6 | 13 | |
| 7 | CD44 splicing pattern is associated with disease progression in pulmonary adenocarcinoma. | 10 |
| 8 | 37 | |
| 9 | 9 | |
| 10 | 30 | |
| 11 | 32 | |
| 12 | 33 | |
| 13 | 10 | |
| 14 | 21 | |
| 15 | 20 | |
| 16 | 34 | |
| 17 | 13 | |
| 18 | 190 | |
| 19 | 131 | |
| 20 | 14 |
About Hsiu‐Ching Chang
Hsiu‐Ching Chang is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Physical Therapy, Sports Therapy and Rehabilitation, having authored 37 papers that have together received 1.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (26 papers), Immune Cell Function and Interaction (22 papers) and Monoclonal and Polyclonal Antibodies Research (14 papers). The work is most often cited by research in Immunology (1.5k citations), Immunology and Allergy (133 citations) and Radiology, Nuclear Medicine and Imaging (397 citations). Hsiu‐Ching Chang has collaborated with scholars based in United States, Taiwan and France. Frequent co-authors include Ellis L. Reinherz, Yi Xiong, Petra Kern, Philippe Moingeon, Andrés Alcover, Rebecca E. Hussey, Tetsuya Moriuchi, Jack Silver, Jia‐Huai Wang and Alex Smolyar. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.