Jing Nie
Impact in
- Nephrology top 0.5%
- Chronic Kidney Disease and Diabetes
- Dialysis and Renal Disease Management
- Renal Diseases and Glomerulopathies
- Molecular Biology top 2%
- Gut microbiota and health
Papers in
-
- Renal and related cancers 15
- Nephrology 44
- Chronic Kidney Disease and Diabetes 18
- Renal Diseases and Glomerulopathies 12
- Dialysis and Renal Disease Management 12
- Co-authors
- Yong He (18 shared papers)Jianzhong Fu (15 shared papers)Youhua Liu (13 shared papers)Fan Fan Hou (26 shared papers)Fan Fan Hou (14 shared papers)E. Helene Sage (4 shared papers)Qing Gao (11 shared papers)Lili Zhou (6 shared papers)
- Journals
- Journal of the American Society of Nephrology (7 papers)Clinical Transplantation (6 papers)Kidney International (6 papers)PLoS ONE (5 papers)International Journal of Biological Macromolecules (5 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jing Nie
241 papers receiving 7.7k citations
Peers
Comparison fields: 5 of 172
- Nephrology 1.2k
- Molecular Biology 3.1k
- Biological Psychiatry 105
- Geriatrics and Gerontology 151
- Physiology 994
Countries citing papers authored by Jing Nie
This map shows the geographic impact of Jing 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 Jing Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Nie more than expected).
Fields of papers citing papers by Jing Nie
This network shows the impact of papers produced by Jing 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 Jing Nie. The network helps show where Jing Nie may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing 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 255 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 220 | |
| 2 | 2017 | 207 | |
| 3 | 2011 | 204 | |
| 4 | 2014 | 195 | |
| 5 | 2003 | 177 | |
| 6 | 2012 | 169 | |
| 7 | 2002 | 148 | |
| 8 | 2018 | 140 | |
| 9 | 2018 | 132 | |
| 10 | 2013 | 132 | |
| 11 | 2011 | 131 | |
| 12 | 2019 | 128 | |
| 13 | 2019 | 122 | |
| 14 | 2008 | 117 | |
| 15 | 2018 | 117 | |
| 16 | 2020 | 110 | |
| 17 | 2018 | 107 | |
| 18 | 2017 | 106 | |
| 19 | 2012 | 101 | |
| 20 | 2010 | 98 |
About Jing Nie
Jing Nie is a scholar working on Molecular Biology, Nephrology, Physiology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 255 papers that have together received 7.8k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (18 papers), Renal and related cancers (15 papers), 3D Printing in Biomedical Research (13 papers), Renal Diseases and Glomerulopathies (12 papers), Dialysis and Renal Disease Management (12 papers), Folate and B Vitamins Research (11 papers), Birth, Development, and Health (10 papers) and Additive Manufacturing and 3D Printing Technologies (9 papers). The work is most often cited by research in Nephrology (1.2k citations), Molecular Biology (3.1k citations), Biological Psychiatry (105 citations), Geriatrics and Gerontology (151 citations) and Physiology (994 citations). Jing Nie has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yong He, Jianzhong Fu, Youhua Liu, Fan Fan Hou, Fan Fan Hou, E. Helene Sage, Qing Gao, Lili Zhou, Weichun He and Sha Hao. Their work appears in journals such as Journal of the American Society of Nephrology, Clinical Transplantation, Kidney International, PLoS ONE and International Journal of Biological Macromolecules.
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.