Ling Wei
Impact in
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
- Clinical Biochemistry top 5%
- Advanced Glycation End Products research
Papers in
-
- Heme Oxygenase-1 and Carbon Monoxide 5
- Mitochondrial Function and Pathology 2
-
- Autophagy in Disease and Therapy 5
- Adipokines, Inflammation, and Metabolic Diseases 2
- Co-authors
- Lin Sun (18 shared papers)Ying Xiao (15 shared papers)Xiaofen Xiong (12 shared papers)Ming Yang (15 shared papers)Yachun Han (12 shared papers)Hao Zhao (9 shared papers)Na Jiang (8 shared papers)Peng Gao (5 shared papers)
- Journals
- BMC Surgery (2 papers)BMJ Open (2 papers)Frontiers in Endocrinology (2 papers)Current Medicinal Chemistry (2 papers)Ecotoxicology and Environmental Safety (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Ling Wei
23 papers receiving 758 citations
Peers
Comparison fields: 5 of 89
- Nephrology 131
- Clinical Biochemistry 73
- Cancer Research 70
- Endocrinology, Diabetes and Metabolism 77
- Pathology and Forensic Medicine 68
Countries citing papers authored by Ling Wei
This map shows the geographic impact of Ling Wei'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 Ling Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Wei more than expected).
Fields of papers citing papers by Ling Wei
This network shows the impact of papers produced by Ling Wei. 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 Ling Wei. The network helps show where Ling Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Wei, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 118 | |
| 2 | 2021 | 83 | |
| 3 | 2019 | 74 | |
| 4 | 2022 | 71 | |
| 5 | 2018 | 53 | |
| 6 | 2020 | 47 | |
| 7 | 2021 | 36 | |
| 8 | 2021 | 36 | |
| 9 | 2021 | 33 | |
| 10 | 2021 | 33 | |
| 11 | 2021 | 29 | |
| 12 | 2021 | 26 | |
| 13 | 2020 | 22 | |
| 14 | 2020 | 21 | |
| 15 | 2023 | 20 | |
| 16 | 2017 | 16 | |
| 17 | 2020 | 15 | |
| 18 | 2020 | 9 | |
| 19 | 2021 | 8 | |
| 20 | 2020 | 7 |
About Ling Wei
Ling Wei is a scholar working on Molecular Biology, Epidemiology, Nephrology, Pathology and Forensic Medicine and Critical Care and Intensive Care Medicine, having authored 24 papers that have together received 768 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (5 papers), Heme Oxygenase-1 and Carbon Monoxide (5 papers), Chronic Kidney Disease and Diabetes (3 papers), Biomedical Research and Pathophysiology (2 papers), Genetic and Kidney Cyst Diseases (2 papers), Mitochondrial Function and Pathology (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Diabetic Foot Ulcer Assessment and Management (2 papers). The work is most often cited by research in Nephrology (131 citations), Clinical Biochemistry (73 citations), Cancer Research (70 citations), Endocrinology, Diabetes and Metabolism (77 citations) and Pathology and Forensic Medicine (68 citations). Ling Wei has collaborated with scholars based in China and United States. Frequent co-authors include Lin Sun, Ying Xiao, Xiaofen Xiong, Ming Yang, Yachun Han, Hao Zhao, Na Jiang, Peng Gao, Chenrui Li and Xuejing Zhu. Their work appears in journals such as BMC Surgery, BMJ Open, Frontiers in Endocrinology, Current Medicinal Chemistry and Ecotoxicology and Environmental Safety.
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.