Wenling Ye
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Biochemistry top 10%
- Eicosanoids and Hypertension Pharmacology
Papers in
-
- Amyloidosis: Diagnosis, Treatment, Outcomes 4
- Receptor Mechanisms and Signaling 3
- Chemical Synthesis and Analysis 3
- Nephrology 18
- Renal Diseases and Glomerulopathies 12
- Co-authors
- Dongsheng Cao (7 shared papers)Weidong Chen (5 shared papers)Yan‐Dong Wang (6 shared papers)Tianxin Yang (3 shared papers)Yang Zhao (2 shared papers)Shuangyu Lv (3 shared papers)Liang Zhang (1 shared paper)Yanjie Yang (1 shared paper)
- Journals
- BMC Nephrology (4 papers)American Journal of Physiology-Renal Physiology (3 papers)Frontiers in Pharmacology (3 papers)Frontiers in Immunology (2 papers)Neoplasia (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Wenling Ye
67 papers receiving 943 citations
Peers
Comparison fields: 5 of 122
- Nephrology 95
- Biochemistry 63
- Hepatology 67
- Pharmacology 133
- Computational Theory and Mathematics 105
Countries citing papers authored by Wenling Ye
This map shows the geographic impact of Wenling Ye'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 Wenling Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenling Ye more than expected).
Fields of papers citing papers by Wenling Ye
This network shows the impact of papers produced by Wenling Ye. 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 Wenling Ye. The network helps show where Wenling Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Wenling Ye, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 87 | |
| 2 | 2004 | 80 | |
| 3 | 2016 | 72 | |
| 4 | 2020 | 64 | |
| 5 | 2005 | 62 | |
| 6 | 2020 | 48 | |
| 7 | 2018 | 45 | |
| 8 | 2020 | 37 | |
| 9 | 2019 | 29 | |
| 10 | 2022 | 28 | |
| 11 | 2020 | 28 | |
| 12 | 2019 | 25 | |
| 13 | 2021 | 24 | |
| 14 | 2017 | 24 | |
| 15 | 2018 | 21 | |
| 16 | 2019 | 17 | |
| 17 | 2016 | 16 | |
| 18 | 2021 | 16 | |
| 19 | 2008 | 14 | |
| 20 | 2013 | 14 |
About Wenling Ye
Wenling Ye is a scholar working on Molecular Biology, Nephrology, Surgery, Epidemiology and Pulmonary and Respiratory Medicine, having authored 68 papers that have together received 956 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (12 papers), Animal Diversity and Health Studies (5 papers), Computational Drug Discovery Methods (5 papers), Comparative Animal Anatomy Studies (4 papers), Vasculitis and related conditions (4 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers), Receptor Mechanisms and Signaling (3 papers) and Chemical Synthesis and Analysis (3 papers). The work is most often cited by research in Nephrology (95 citations), Biochemistry (63 citations), Hepatology (67 citations), Pharmacology (133 citations) and Computational Theory and Mathematics (105 citations). Wenling Ye has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Dongsheng Cao, Weidong Chen, Yan‐Dong Wang, Tianxin Yang, Yang Zhao, Shuangyu Lv, Liang Zhang, Yanjie Yang, Guo‐Li Xiong and Pernille Hansen. Their work appears in journals such as BMC Nephrology, American Journal of Physiology-Renal Physiology, Frontiers in Pharmacology, Frontiers in Immunology and Neoplasia.
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.