Sue-Ling Chang
Impact in
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- Protease and Inhibitor Mechanisms
- Breast Cancer Treatment Studies
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- Global Cancer Incidence and Screening
- Cancer Risks and Factors
- Peptidase Inhibition and Analysis
Papers in
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- Psychedelics and Drug Studies 7
- Psychotherapy Techniques and Applications 2
- Oncology 7
- Cancer Risks and Factors 5
- Co-authors
- Caroline Diorio (11 shared papers)Francine Durocher (6 shared papers)Éric Pelletier (3 shared papers)Jacques Brisson (3 shared papers)Jean-Marc Daigle (3 shared papers)Kaoutar Ennour‐Idrissi (3 shared papers)Nancy E. Mayo (3 shared papers)Robyn Tamblyn (3 shared papers)
- Journals
- Palliative Medicine (2 papers)Burns (2 papers)Anticancer Research (2 papers)Journal of Geriatric Oncology (1 paper)Journal of Obesity (1 paper)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Sue-Ling Chang
22 papers receiving 262 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 49
- Oncology 81
- Geriatrics and Gerontology 6
- Family Practice 2
- Biochemistry 6
Countries citing papers authored by Sue-Ling Chang
This map shows the geographic impact of Sue-Ling 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-Ling 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-Ling Chang more than expected).
Fields of papers citing papers by Sue-Ling Chang
This network shows the impact of papers produced by Sue-Ling 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-Ling Chang. The network helps show where Sue-Ling Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sue-Ling 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 54 | |
| 2 | 2014 | 24 | |
| 3 | 2020 | 22 | |
| 4 | 2016 | 20 | |
| 5 | 2011 | 20 | |
| 6 | 2013 | 18 | |
| 7 | 2011 | 14 | |
| 8 | 2024 | 13 | |
| 9 | 2016 | 13 | |
| 10 | 2017 | 12 | |
| 11 | 2021 | 11 | |
| 12 | 2020 | 8 | |
| 13 | 2022 | 8 | |
| 14 | 2013 | 6 | |
| 15 | 2021 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2018 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2024 | 2 |
About Sue-Ling Chang
Sue-Ling Chang is a scholar working on Clinical Psychology, Oncology, Molecular Biology, Cancer Research and Epidemiology, having authored 29 papers that have together received 267 indexed citations. Recurring topics across this work include Psychedelics and Drug Studies (7 papers), Cancer Risks and Factors (5 papers), Breast Cancer Treatment Studies (3 papers), Epigenetics and DNA Methylation (3 papers), Burn Injury Management and Outcomes (3 papers), BRCA gene mutations in cancer (2 papers), Protease and Inhibitor Mechanisms (2 papers) and Psychotherapy Techniques and Applications (2 papers). The work is most often cited by research in Cancer Research (49 citations), Oncology (81 citations), Geriatrics and Gerontology (6 citations), Family Practice (2 citations) and Biochemistry (6 citations). Sue-Ling Chang has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Caroline Diorio, Francine Durocher, Éric Pelletier, Jacques Brisson, Jean-Marc Daigle, Kaoutar Ennour‐Idrissi, Nancy E. Mayo, Robyn Tamblyn, Ania Syrowatka and Ari N. Meguerditchian. Their work appears in journals such as Palliative Medicine, Burns, Anticancer Research, Journal of Geriatric Oncology and Journal of Obesity.
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.