Xianghai Zhao
-
- Growth Hormone and Insulin-like Growth Factors 5
- Diabetes, Cardiovascular Risks, and Lipoproteins 4
-
- Lipid metabolism and disorders 3
-
- Adipokines, Inflammation, and Metabolic Diseases 5
-
- Lipoproteins and Cardiovascular Health 4
-
- Neonatal Health and Biochemistry 3
- Birth, Development, and Health 3
-
- TGF-β signaling in diseases 3
- Cited by
- Endocrinology, Diabetes and MetabolismClinical BiochemistryCardiology and Cardiovascular Medicine
- Journals
- SHILAP Revista de lepidopterología (1 paper)Gene (2 papers)European Journal of Neuroscience (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Xianghai Zhao
33 papers receiving 319 citations
Peers
Comparison fields: 5 of 79
- Endocrinology, Diabetes and Metabolism 78
- Clinical Biochemistry 24
- Cardiology and Cardiovascular Medicine 75
- Biological Psychiatry 7
- Nephrology 17
Countries citing papers authored by Xianghai Zhao
This map shows the geographic impact of Xianghai Zhao'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 Xianghai Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xianghai Zhao more than expected).
Fields of papers citing papers by Xianghai Zhao
This network shows the impact of papers produced by Xianghai Zhao. 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 Xianghai Zhao. The network helps show where Xianghai Zhao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xianghai Zhao, 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 | 2025 | 0 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 19 | |
| 4 | 2022 | 14 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 3 | |
| 7 | 2021 | 8 | |
| 8 | 2020 | 3 | |
| 9 | 2019 | 27 | |
| 10 | 2019 | 19 | |
| 11 | 2018 | 10 | |
| 12 | 2017 | 10 | |
| 13 | 2017 | 2 | |
| 14 | 2015 | 5 | |
| 15 | 2014 | 5 | |
| 16 | 2014 | 15 | |
| 17 | 2014 | 3 | |
| 18 | 2014 | 17 | |
| 19 | 2012 | 8 | |
| 20 | 2012 | 11 |
About Xianghai Zhao
Xianghai Zhao is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Clinical Biochemistry, having authored 34 papers that have together received 322 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Lipoproteins and Cardiovascular Health (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Neonatal Health and Biochemistry (3 papers), Lipid metabolism and disorders (3 papers), Birth, Development, and Health (3 papers) and TGF-β signaling in diseases (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (78 citations), Clinical Biochemistry (24 citations) and Cardiology and Cardiovascular Medicine (75 citations). Xianghai Zhao has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Song Yang, Chong Shen, Yan Chen, Xiaotian Chen, Hailong Zhao, Qian Zhuang, Pengfei Wei, Yingshui Yao, Chen Yanchun and Yanping Zhao. Their work appears in journals such as SHILAP Revista de lepidopterología, Gene and European Journal of Neuroscience.
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.