Xiaowei Niu
- Endocrinology top 5%
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- Cardiac electrophysiology and arrhythmias 9
- Acute Myocardial Infarction Research 6
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- Neuroscience and Neuropharmacology Research 7
- Horticulture top 10%
- Molecular Biology top 10%
- Ion channel regulation and function 12
- Nicotinic Acetylcholine Receptors Study 4
- Mitochondrial Function and Pathology 3
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- Cardiac Imaging and Diagnostics 5
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- Coronary Interventions and Diagnostics 5
- Co-authors
- Karl L. MaglebyXiang QianTinatin I. BrelidzeZheng ZhangMing BaiCaiping CaiWangzhen GuoTianzhen Zhang
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaowei Niu
57 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 124
- Endocrinology 103
- Cardiology and Cardiovascular Medicine 447
- Cellular and Molecular Neuroscience 356
- Horticulture 12
- Molecular Biology 800
Countries citing papers authored by Xiaowei Niu
This map shows the geographic impact of Xiaowei Niu'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 Xiaowei Niu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowei Niu more than expected).
Fields of papers citing papers by Xiaowei Niu
This network shows the impact of papers produced by Xiaowei Niu. 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 Xiaowei Niu. The network helps show where Xiaowei Niu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaowei Niu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 9 | |
| 2 | 2024 | 17 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 18 | |
| 5 | 2022 | 8 | |
| 6 | 2021 | 15 | |
| 7 | 2021 | 11 | |
| 8 | 2017 | 25 | |
| 9 | 2016 | 46 | |
| 10 | 2015 | 31 | |
| 11 | Emotion Pattern Recognition Using Physiological Signals | 2014 | 9 |
| 12 | 2014 | 8 | |
| 13 | [Relation of admission neutrophil/lymphocyte ratio to angiographic no-reflow phenomenon in patients with ST-elevated myocardial infarction undergoing primary coronary intervention]. | 2014 | 3 |
| 14 | 2014 | 6 | |
| 15 | 2012 | 20 | |
| 16 | 2010 | 47 | |
| 17 | 2007 | 238 | |
| 18 | 2005 | 14 | |
| 19 | 2003 | 121 | |
| 20 | 1998 | 9 |
About Xiaowei Niu
Xiaowei Niu is a scholar working on Horticulture, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience, having authored 63 papers that have together received 1.5k indexed citations. Recurring topics across this work include Ion channel regulation and function (12 papers), Cardiac electrophysiology and arrhythmias (9 papers), Neuroscience and Neuropharmacology Research (7 papers), Acute Myocardial Infarction Research (6 papers), Cardiac Imaging and Diagnostics (5 papers), Coronary Interventions and Diagnostics (5 papers), Nicotinic Acetylcholine Receptors Study (4 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Endocrinology (103 citations), Cardiology and Cardiovascular Medicine (447 citations) and Cellular and Molecular Neuroscience (356 citations). Xiaowei Niu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Karl L. Magleby, Xiang Qian, Tinatin I. Brelidze, Zheng Zhang, Ming Bai, Caiping Cai, Wangzhen Guo, Tianzhen Zhang, Ben Shi and Zhiguo Han.
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.