Binxia Chang
Impact in
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- Alcohol Consumption and Health Effects
- Biochemistry top 5%
- Eicosanoids and Hypertension Pharmacology
- Lipid metabolism and biosynthesis
Papers in
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- Alcohol Consumption and Health Effects 10
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- Liver Disease Diagnosis and Treatment 6
- Co-authors
- Bin Gao (5 shared papers)Zhengsheng Zou (15 shared papers)Adeline Bertola (3 shared papers)Hua Wang (3 shared papers)Mingjiang Xu (2 shared papers)Wei Wang (1 shared paper)George Kunos (1 shared paper)Man Li (1 shared paper)
- Journals
- Frontiers in Pharmacology (2 papers)Hepatology (2 papers)Journal of Cellular and Molecular Medicine (2 papers)Gastroenterology (1 paper)Alcohol (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Binxia Chang
21 papers receiving 672 citations
Peers
Comparison fields: 5 of 65
- Pathology and Forensic Medicine 305
- Biochemistry 82
- Hepatology 80
- Epidemiology 323
- Endocrinology, Diabetes and Metabolism 99
Countries citing papers authored by Binxia Chang
This map shows the geographic impact of Binxia 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 Binxia Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binxia Chang more than expected).
Fields of papers citing papers by Binxia Chang
This network shows the impact of papers produced by Binxia 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 Binxia Chang. The network helps show where Binxia Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Binxia 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 168 | |
| 2 | 2014 | 155 | |
| 3 | 2015 | 117 | |
| 4 | 2004 | 48 | |
| 5 | 2017 | 34 | |
| 6 | 2017 | 32 | |
| 7 | 2021 | 23 | |
| 8 | 2018 | 19 | |
| 9 | 2018 | 19 | |
| 10 | 2018 | 15 | |
| 11 | 2014 | 12 | |
| 12 | 2017 | 7 | |
| 13 | 2024 | 6 | |
| 14 | 2014 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2016 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2020 | 3 | |
| 20 | [Comparative study on clinical features of 215 patients with acute and subacute severe hepatitis.]. | 2006 | 2 |
About Binxia Chang
Binxia Chang is a scholar working on Pathology and Forensic Medicine, Epidemiology, Endocrinology, Diabetes and Metabolism, Pharmacology and Immunology, having authored 22 papers that have together received 683 indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (10 papers), Liver Disease Diagnosis and Treatment (6 papers), Diet, Metabolism, and Disease (4 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Eosinophilic Esophagitis (2 papers), IL-33, ST2, and ILC Pathways (2 papers), Pharmacogenetics and Drug Metabolism (1 paper) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (305 citations), Biochemistry (82 citations), Hepatology (80 citations), Epidemiology (323 citations) and Endocrinology, Diabetes and Metabolism (99 citations). Binxia Chang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Bin Gao, Zhengsheng Zou, Adeline Bertola, Hua Wang, Mingjiang Xu, Wei Wang, George Kunos, Man Li, Zhou Zhou and Dechun Feng. Their work appears in journals such as Frontiers in Pharmacology, Hepatology, Journal of Cellular and Molecular Medicine, Gastroenterology and Alcohol.
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.