Ling Nie
Impact in
- Nephrology top 1%
- Parathyroid Disorders and Treatments
- Dialysis and Renal Disease Management
- Chronic Kidney Disease and Diabetes
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
Papers in
- Nephrology 13
- Dialysis and Renal Disease Management 7
- Chronic Kidney Disease and Diabetes 7
- Parathyroid Disorders and Treatments 5
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- Metabolism, Diabetes, and Cancer 3
- Co-authors
- Jinghong Zhao (23 shared papers)Ke Yang (10 shared papers)Yunjian Huang (11 shared papers)Jingbo Zhang (10 shared papers)Ting He (8 shared papers)Xu Guan (7 shared papers)Tangli Xiao (6 shared papers)Jiachuan Xiong (12 shared papers)
- Journals
- International Journal of Biological Macromolecules (2 papers)Renal Failure (2 papers)Frontiers in Medicine (2 papers)Journal of Molecular Medicine (2 papers)Toxicology Letters (2 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Ling Nie
36 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 99
- Nephrology 509
- Geriatrics and Gerontology 113
- Clinical Biochemistry 78
- Physiology 37
- Physiology 189
Countries citing papers authored by Ling Nie
This map shows the geographic impact of Ling Nie'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 Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Nie more than expected).
Fields of papers citing papers by Ling Nie
This network shows the impact of papers produced by Ling Nie. 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 Nie. The network helps show where Ling Nie may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Nie, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 151 | |
| 2 | 2011 | 123 | |
| 3 | 2016 | 115 | |
| 4 | 2018 | 83 | |
| 5 | 2014 | 83 | |
| 6 | 2014 | 76 | |
| 7 | 2014 | 75 | |
| 8 | 2015 | 64 | |
| 9 | 2012 | 63 | |
| 10 | 2019 | 56 | |
| 11 | 2020 | 49 | |
| 12 | 2017 | 42 | |
| 13 | 2017 | 30 | |
| 14 | 2015 | 29 | |
| 15 | 2020 | 21 | |
| 16 | 2018 | 17 | |
| 17 | 2019 | 14 | |
| 18 | 2020 | 13 | |
| 19 | 2015 | 11 | |
| 20 | 2016 | 10 |
About Ling Nie
Ling Nie is a scholar working on Nephrology, Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology and Epidemiology, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (7 papers), Chronic Kidney Disease and Diabetes (7 papers), Parathyroid Disorders and Treatments (5 papers), Cardiovascular Function and Risk Factors (5 papers), Adipose Tissue and Metabolism (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and Advanced Cellulose Research Studies (3 papers). The work is most often cited by research in Nephrology (509 citations), Geriatrics and Gerontology (113 citations), Clinical Biochemistry (78 citations), Physiology (37 citations) and Physiology (189 citations). Ling Nie has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Jinghong Zhao, Ke Yang, Yunjian Huang, Jingbo Zhang, Ting He, Xu Guan, Tangli Xiao, Jiachuan Xiong, Junping Wang and Xinli Xu. Their work appears in journals such as International Journal of Biological Macromolecules, Renal Failure, Frontiers in Medicine, Journal of Molecular Medicine and Toxicology Letters.
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.