Wei Wang
- Nephrology top 0.2%
- Immunology top 0.5%
- Immune Cell Function and Interaction 46
- T-cell and B-cell Immunology 45
- Biological Psychiatry top 0.5%
-
- Cardiovascular Health and Risk Factors 42
- Molecular Biology top 0.2%
- Glycosylation and Glycoproteins Research 78
- Epigenetics and DNA Methylation 46
-
- Monoclonal and Polyclonal Antibodies Research 74
-
- Liver Disease Diagnosis and Treatment 45
-
- Tuberculosis Research and Epidemiology 40
- Co-authors
- Robert W. SchrierYouxin WangXiuhua GuoHaifeng HouManshu SongBrian D. PooleYuxiang YanAmit Mitra
- Journals
- PLoS ONE (44 papers)Australasian Journal of Paramedicine (30 papers)Scientific Reports (20 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wei Wang
1.5k papers receiving 36.0k citations
Hit Papers
Peers
Comparison fields: 5 of 223
- Nephrology 2.0k
- Immunology 4.1k
- Biological Psychiatry 426
- Cardiology and Cardiovascular Medicine 3.8k
- Molecular Biology 10.4k
Countries citing papers authored by Wei Wang
This map shows the geographic impact of Wei Wang'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 Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Wang more than expected).
Fields of papers citing papers by Wei Wang
This network shows the impact of papers produced by Wei Wang. 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 Wang. The network helps show where Wei Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wei Wang, 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 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 22 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 11 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 10 | |
| 14 | 2022 | 6 | |
| 15 | 2021 | 78 | |
| 16 | 2020 | 6 | |
| 17 | Serum circSETDB1 is a promising biomarker for predicting response to platinum-taxane-combined chemotherapy and relapse in high-grade serous ovarian cancer | 2019 | 2 |
| 18 | 2017 | 3 | |
| 19 | 2016 | 12 | |
| 20 | 2007 | 176 |
About Wei Wang
Wei Wang is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Immunology, Behavioral Neuroscience and Epidemiology, having authored 1.6k papers that have together received 36.6k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (78 papers), Monoclonal and Polyclonal Antibodies Research (74 papers), Immune Cell Function and Interaction (46 papers), Epigenetics and DNA Methylation (46 papers), Liver Disease Diagnosis and Treatment (45 papers), T-cell and B-cell Immunology (45 papers), Cardiovascular Health and Risk Factors (42 papers) and Tuberculosis Research and Epidemiology (40 papers). The work is most often cited by research in Nephrology (2.0k citations), Immunology (4.1k citations), Biological Psychiatry (426 citations), Cardiology and Cardiovascular Medicine (3.8k citations) and Molecular Biology (10.4k citations). Wei Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Robert W. Schrier, Youxin Wang, Xiuhua Guo, Haifeng Hou, Manshu Song, Brian D. Poole, Yuxiang Yan, Amit Mitra, Irving H. Zucker and Jun Wen. Their work appears in journals such as PLoS ONE, Australasian Journal of Paramedicine, Scientific Reports, OMICS A Journal of Integrative Biology and The EPMA Journal.
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.