Wei Su
Impact in
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Dialysis and Renal Disease Management
- Biological Psychiatry top 10%
Papers in
-
- Ferroptosis and cancer prognosis 6
- Co-authors
- Ying‐Yong Zhao (10 shared papers)Dan‐Qian Chen (6 shared papers)Nosratola D. Vaziri (6 shared papers)Hua Chen (5 shared papers)Xiao-Yong Yu (5 shared papers)Hua Miao (5 shared papers)Xu Bai (2 shared papers)Shixing Ma (4 shared papers)
- Journals
- Frontiers in Immunology (2 papers)Cell Proliferation (2 papers)British Journal of Pharmacology (2 papers)Acta Pharmacologica Sinica (2 papers)Clinica Chimica Acta (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Wei Su
58 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Nephrology 290
- Biological Psychiatry 31
- Pharmacology 84
- Clinical Biochemistry 58
- Health, Toxicology and Mutagenesis 110
Countries citing papers authored by Wei Su
This map shows the geographic impact of Wei Su'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 Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Su more than expected).
Fields of papers citing papers by Wei Su
This network shows the impact of papers produced by Wei Su. 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 Su. The network helps show where Wei Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Su, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 143 | |
| 2 | 2017 | 104 | |
| 3 | 2023 | 82 | |
| 4 | 2002 | 63 | |
| 5 | 2020 | 63 | |
| 6 | Targeting Lactobacillus johnsonii to reverse chronic kidney disease Hit paper breakdown → | 2024 | 61 |
| 7 | 2019 | 51 | |
| 8 | 2019 | 46 | |
| 9 | 2018 | 45 | |
| 10 | 2007 | 41 | |
| 11 | 2023 | 32 | |
| 12 | 2017 | 32 | |
| 13 | 2020 | 31 | |
| 14 | 2023 | 30 | |
| 15 | 2005 | 30 | |
| 16 | 2004 | 30 | |
| 17 | 2023 | 27 | |
| 18 | 2020 | 26 | |
| 19 | 2016 | 25 | |
| 20 | 2018 | 24 |
About Wei Su
Wei Su is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Epidemiology, Neurology and Nephrology, having authored 64 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (6 papers), Chronic Kidney Disease and Diabetes (5 papers), Cancer, Lipids, and Metabolism (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Reproductive Biology and Fertility (4 papers), Transcranial Magnetic Stimulation Studies (3 papers) and Tryptophan and brain disorders (3 papers). The work is most often cited by research in Nephrology (290 citations), Biological Psychiatry (31 citations), Pharmacology (84 citations), Clinical Biochemistry (58 citations) and Health, Toxicology and Mutagenesis (110 citations). Wei Su has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Ying‐Yong Zhao, Dan‐Qian Chen, Nosratola D. Vaziri, Hua Chen, Xiao-Yong Yu, Hua Miao, Xu Bai, Shixing Ma, Yan Guo and Yanni Wang. Their work appears in journals such as Frontiers in Immunology, Cell Proliferation, British Journal of Pharmacology, Acta Pharmacologica Sinica and Clinica Chimica Acta.
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.