Xiaojing Nie
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
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- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Mental Health Research Topics
Papers in
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- Renal and related cancers 3
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- Renal Diseases and Glomerulopathies 6
- Co-authors
- Qiyong Gong (5 shared papers)Jingxin Yang (4 shared papers)Changjian Qiu (5 shared papers)Wei Zhang (4 shared papers)Chunyan Zhu (2 shared papers)Yuan Feng (2 shared papers)Huafu Chen (1 shared paper)Chengyue Wang (1 shared paper)
- Journals
- European Journal of Pediatrics (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)Medicine (1 paper)BioMed Research International (1 paper)Gene (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xiaojing Nie
24 papers receiving 409 citations
Peers
Comparison fields: 5 of 87
- Cognitive Neuroscience 122
- Experimental and Cognitive Psychology 74
- Nephrology 36
- Biomaterials 37
- Biological Psychiatry 5
Countries citing papers authored by Xiaojing Nie
This map shows the geographic impact of Xiaojing 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 Xiaojing Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojing Nie more than expected).
Fields of papers citing papers by Xiaojing Nie
This network shows the impact of papers produced by Xiaojing 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 Xiaojing Nie. The network helps show where Xiaojing Nie may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaojing 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 106 | |
| 2 | 2019 | 48 | |
| 3 | 2016 | 48 | |
| 4 | 2011 | 38 | |
| 5 | 2022 | 29 | |
| 6 | 2019 | 26 | |
| 7 | 2017 | 18 | |
| 8 | 2014 | 17 | |
| 9 | 2012 | 16 | |
| 10 | 2018 | 14 | |
| 11 | 2014 | 12 | |
| 12 | 2022 | 7 | |
| 13 | 2017 | 6 | |
| 14 | 2024 | 6 | |
| 15 | 2012 | 6 | |
| 16 | 2024 | 4 | |
| 17 | 2011 | 4 | |
| 18 | 2011 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2017 | 2 |
About Xiaojing Nie
Xiaojing Nie is a scholar working on Molecular Biology, Nephrology, Cognitive Neuroscience, Experimental and Cognitive Psychology and Genetics, having authored 29 papers that have together received 415 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (6 papers), Renal and related cancers (3 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers), Bone Tissue Engineering Materials (3 papers), Functional Brain Connectivity Studies (3 papers), Magnesium Alloys: Properties and Applications (2 papers), Traditional Chinese Medicine Analysis (2 papers) and Hydrogen Storage and Materials (2 papers). The work is most often cited by research in Cognitive Neuroscience (122 citations), Experimental and Cognitive Psychology (74 citations), Nephrology (36 citations), Biomaterials (37 citations) and Biological Psychiatry (5 citations). Xiaojing Nie has collaborated with scholars based in China and United States. Frequent co-authors include Qiyong Gong, Jingxin Yang, Changjian Qiu, Wei Zhang, Chunyan Zhu, Yuan Feng, Huafu Chen, Chengyue Wang, Jurong Ding and Wei Liao. Their work appears in journals such as European Journal of Pediatrics, Frontiers in Bioengineering and Biotechnology, Medicine, BioMed Research International and Gene.
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.