Jing Nie
Impact in
- Pollution top 10%
- Heavy metals in environment
- Ophthalmology top 10%
- Retinal Diseases and Treatments
Papers in
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- Cardiac electrophysiology and arrhythmias 1
-
- Heavy metals in environment 3
- Pesticide and Herbicide Environmental Studies 2
- Co-authors
- Yafeng Wang (10 shared papers)Leandro F. M. Rezende (4 shared papers)Gérson Ferrari (4 shared papers)Juan Pablo Rey-López (2 shared papers)Wentao Huang (6 shared papers)Dagfinn Aune (6 shared papers)Jun Liu (1 shared paper)Bing Liao (6 shared papers)
- Journals
- International Journal of Environmental Research and Public Health (3 papers)JAMA Internal Medicine (2 papers)Frontiers in Pharmacology (1 paper)Drug Metabolism and Disposition (1 paper)European Journal of Epidemiology (1 paper)
- Partner nations
- ChinaUnited KingdomNorway
In The Last Decade
Jing Nie
23 papers receiving 769 citations
Peers
Comparison fields: 5 of 112
- Pollution 87
- Ophthalmology 52
- Applied Psychology 28
- Health 41
- Physiology 125
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 147 | |
| 2 | 2020 | 87 | |
| 3 | 2022 | 87 | |
| 4 | 2017 | 84 | |
| 5 | 2016 | 67 | |
| 6 | 2021 | 54 | |
| 7 | 2014 | 46 | |
| 8 | 2015 | 41 | |
| 9 | 2015 | 35 | |
| 10 | 2020 | 29 | |
| 11 | 2022 | 26 | |
| 12 | 2020 | 19 | |
| 13 | 2020 | 18 | |
| 14 | 2018 | 8 | |
| 15 | 2010 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 2024 | 4 | |
| 18 | 2016 | 4 | |
| 19 | 2019 | 2 | |
| 20 | 2023 | 2 |
About Jing Nie
Jing Nie is a scholar working on Cardiology and Cardiovascular Medicine, Pollution, Molecular Biology, Ophthalmology and Health, Toxicology and Mutagenesis, having authored 24 papers that have together received 779 indexed citations. Recurring topics across this work include Heavy metals in environment (3 papers), Antioxidant Activity and Oxidative Stress (2 papers), Pesticide and Herbicide Environmental Studies (2 papers), Retinal Diseases and Treatments (2 papers), Environmental Toxicology and Ecotoxicology (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Social and Behavioral Studies (1 paper) and Plant Micronutrient Interactions and Effects (1 paper). The work is most often cited by research in Pollution (87 citations), Ophthalmology (52 citations), Applied Psychology (28 citations), Health (41 citations) and Physiology (125 citations). Jing Nie has collaborated with scholars based in China, United Kingdom and Norway. Frequent co-authors include Yafeng Wang, Leandro F. M. Rezende, Gérson Ferrari, Juan Pablo Rey-López, Wentao Huang, Dagfinn Aune, Jun Liu, Bing Liao, Zengguang Yan and Adrienne O’Neil. Their work appears in journals such as International Journal of Environmental Research and Public Health, JAMA Internal Medicine, Frontiers in Pharmacology, Drug Metabolism and Disposition and European Journal of Epidemiology.
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.