Sue Chang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Thyroid Cancer Diagnosis and Treatment
Papers in
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- RNA modifications and cancer 9
- Circular RNAs in diseases 6
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- MicroRNA in disease regulation 12
- Cancer-related molecular mechanisms research 9
- Co-authors
- Chen Huang (13 shared papers)Tusheng Song (9 shared papers)Dongdong Tong (7 shared papers)Yang Yang (7 shared papers)Lumin Wang (8 shared papers)Ling Gao (6 shared papers)Jeffrey F. Krane (2 shared papers)Xijing He (10 shared papers)
- Journals
- Oncotarget (4 papers)International Journal of Oncology (2 papers)Oxidative Medicine and Cellular Longevity (2 papers)Clinical Cancer Research (1 paper)Surgery (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Sue Chang
50 papers receiving 818 citations
Peers
Comparison fields: 5 of 93
- Cancer Research 311
- Endocrinology, Diabetes and Metabolism 121
- Molecular Biology 446
- Pathology and Forensic Medicine 113
- Oncology 128
Countries citing papers authored by Sue Chang
This map shows the geographic impact of Sue 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 Sue Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sue Chang more than expected).
Fields of papers citing papers by Sue Chang
This network shows the impact of papers produced by Sue 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 Sue Chang. The network helps show where Sue Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sue 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 92 | |
| 2 | 2015 | 69 | |
| 3 | 2015 | 59 | |
| 4 | 2014 | 43 | |
| 5 | 2014 | 37 | |
| 6 | 2022 | 35 | |
| 7 | 2018 | 32 | |
| 8 | 2022 | 31 | |
| 9 | 2015 | 31 | |
| 10 | 2015 | 30 | |
| 11 | 2021 | 28 | |
| 12 | 2019 | 28 | |
| 13 | 2021 | 21 | |
| 14 | 2019 | 21 | |
| 15 | 2016 | 21 | |
| 16 | 2022 | 19 | |
| 17 | 2019 | 19 | |
| 18 | 2015 | 18 | |
| 19 | 2015 | 17 | |
| 20 | 2019 | 16 |
About Sue Chang
Sue Chang is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Pathology and Forensic Medicine, having authored 51 papers that have together received 830 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (12 papers), RNA modifications and cancer (9 papers), Cancer-related molecular mechanisms research (9 papers), Circular RNAs in diseases (6 papers), Neuroblastoma Research and Treatments (5 papers), Lung Cancer Research Studies (5 papers), Spinal Cord Injury Research (5 papers) and Neuroendocrine Tumor Research Advances (5 papers). The work is most often cited by research in Cancer Research (311 citations), Endocrinology, Diabetes and Metabolism (121 citations), Molecular Biology (446 citations), Pathology and Forensic Medicine (113 citations) and Oncology (128 citations). Sue Chang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Chen Huang, Tusheng Song, Dongdong Tong, Yang Yang, Lumin Wang, Ling Gao, Jeffrey F. Krane, Xijing He, Justine A. Barletta and Haopeng Li. Their work appears in journals such as Oncotarget, International Journal of Oncology, Oxidative Medicine and Cellular Longevity, Clinical Cancer Research and Surgery.
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.