Weiqin Chang
Impact in
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- Cancer-related molecular mechanisms research
- Obstetrics and Gynecology top 10%
- Endometrial and Cervical Cancer Treatments
Papers in
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- Epigenetics and DNA Methylation 2
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- Cancer-related molecular mechanisms research 3
- Cancer, Lipids, and Metabolism 2
- Co-authors
- Tianmin Xu (13 shared papers)Shuying Wu (5 shared papers)Manman Su (8 shared papers)Chunyang Feng (3 shared papers)Kun Zhang (2 shared papers)Jian Liu (1 shared paper)Li Ma (1 shared paper)Manhua Cui (2 shared papers)
- Journals
- Assay and Drug Development Technologies (3 papers)Frontiers in Oncology (2 papers)Oncology Reports (2 papers)International Journal of Genomics (2 papers)International Journal of Oncology (1 paper)
- Partner nations
- China
In The Last Decade
Weiqin Chang
16 papers receiving 311 citations
Peers
Comparison fields: 5 of 50
- Cancer Research 123
- Obstetrics and Gynecology 35
- Reproductive Medicine 31
- Endocrinology, Diabetes and Metabolism 42
- Molecular Biology 147
Countries citing papers authored by Weiqin Chang
This map shows the geographic impact of Weiqin 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 Weiqin Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiqin Chang more than expected).
Fields of papers citing papers by Weiqin Chang
This network shows the impact of papers produced by Weiqin 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 Weiqin Chang. The network helps show where Weiqin Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiqin 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 | 2017 | 66 | |
| 2 | 2021 | 43 | |
| 3 | 2019 | 41 | |
| 4 | 2018 | 41 | |
| 5 | 2020 | 29 | |
| 6 | 2018 | 21 | |
| 7 | 2015 | 19 | |
| 8 | 2014 | 13 | |
| 9 | 2015 | 13 | |
| 10 | 2016 | 10 | |
| 11 | 2011 | 6 | |
| 12 | 2018 | 4 | |
| 13 | 2012 | 4 | |
| 14 | 2025 | 2 | |
| 15 | 2016 | 2 | |
| 16 | 2013 | 1 | |
| 17 | 2025 | 0 |
About Weiqin Chang
Weiqin Chang is a scholar working on Molecular Biology, Cancer Research, Surgery, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 17 papers that have together received 315 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (3 papers), Cancer-related molecular mechanisms research (3 papers), Endometriosis Research and Treatment (2 papers), Cancer, Lipids, and Metabolism (2 papers), Cholesterol and Lipid Metabolism (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Healthcare and Venom Research (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (123 citations), Obstetrics and Gynecology (35 citations), Reproductive Medicine (31 citations), Endocrinology, Diabetes and Metabolism (42 citations) and Molecular Biology (147 citations). Weiqin Chang has collaborated with scholars based in China. Frequent co-authors include Tianmin Xu, Shuying Wu, Manman Su, Chunyang Feng, Kun Zhang, Jian Liu, Li Ma, Manhua Cui, Manhua Cui and Yuemei Jin. Their work appears in journals such as Assay and Drug Development Technologies, Frontiers in Oncology, Oncology Reports, International Journal of Genomics and International Journal of Oncology.
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.