Wei Zhang
- Cancer Research top 2%
- Breast Cancer Treatment Studies 8
- Geriatrics and Gerontology top 2%
- Molecular Biology top 2%
-
- Diet, Metabolism, and Disease 9
- Diabetes, Cardiovascular Risks, and Lipoproteins 9
- Physiology top 2%
- Nitric Oxide and Endothelin Effects 16
- Adipose Tissue and Metabolism 14
-
- Liver Disease Diagnosis and Treatment 19
- Cervical Cancer and HPV Research 14
- Adipokines, Inflammation, and Metabolic Diseases 9
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (2 papers)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Wei Zhang
297 papers receiving 6.7k citations
Peers
Comparison fields: 5 of 162
- Cancer Research 829
- Geriatrics and Gerontology 174
- Molecular Biology 2.9k
- Endocrinology, Diabetes and Metabolism 601
- Physiology 899
Countries citing papers authored by Wei Zhang
This map shows the geographic impact of Wei Zhang'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 Wei Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Zhang more than expected).
Fields of papers citing papers by Wei Zhang
This network shows the impact of papers produced by Wei Zhang. 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 Wei Zhang. The network helps show where Wei Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wei Zhang, 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 | 2025 | 0 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 12 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 5 | |
| 10 | Comprehensive Analysis of the PROSER2-AS1-Related ceRNA Network and Immune Cell Infiltration in Papillary Thyroid Carcinoma | 2022 | 4 |
| 11 | 2021 | 6 | |
| 12 | 2020 | 101 | |
| 13 | 2020 | 20 | |
| 14 | 2020 | 11 | |
| 15 | 2017 | 5 | |
| 16 | 2015 | 44 | |
| 17 | [Correlation analysis of serum calcium levels and risks of diabetes mellitus in middle-aged and elderly men]. | 2015 | 1 |
| 18 | 2013 | 1 | |
| 19 | 2011 | 44 | |
| 20 | 2008 | 220 |
About Wei Zhang
Wei Zhang is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Cancer Research, having authored 316 papers that have together received 6.8k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (19 papers), Nitric Oxide and Endothelin Effects (16 papers), Cervical Cancer and HPV Research (14 papers), Adipose Tissue and Metabolism (14 papers), Diet, Metabolism, and Disease (9 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers) and Breast Cancer Treatment Studies (8 papers). The work is most often cited by research in Cancer Research (829 citations), Geriatrics and Gerontology (174 citations) and Molecular Biology (2.9k citations). Wei Zhang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Shuyu Yang, Cang‐Bao Xu, Changqin Liu, Dong‐Yan Shen, Ricardo Cao, Xuejun Li, Jiayin Dai, Jianshe Wang, Lars Edvinsson and Yaping Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.