Xiaowei Nie
Impact in
- Reproductive Medicine top 5%
- Ovarian function and disorders
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Circular RNAs in diseases 5
- RNA modifications and cancer 3
-
- Pulmonary Hypertension Research and Treatments 13
- Co-authors
- Daorong Hou (5 shared papers)Jin‐Song Bian (10 shared papers)Youai Dai (9 shared papers)Lei Cao (3 shared papers)Jianxin Tan (9 shared papers)Daling Zhu (7 shared papers)Yuan Zheng (2 shared papers)Youjin Dai (2 shared papers)
- Journals
- Vascular Pharmacology (3 papers)Biomolecules (2 papers)Cellular Physiology and Biochemistry (2 papers)Journal of Hepatology (2 papers)Clinica Chimica Acta (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Xiaowei Nie
59 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 113
- Reproductive Medicine 134
- Cancer Research 217
- Biochemistry 108
- Biological Psychiatry 20
- Pulmonary and Respiratory Medicine 254
Countries citing papers authored by Xiaowei Nie
This map shows the geographic impact of Xiaowei 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 Xiaowei Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowei Nie more than expected).
Fields of papers citing papers by Xiaowei Nie
This network shows the impact of papers produced by Xiaowei 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 Xiaowei Nie. The network helps show where Xiaowei Nie may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaowei 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 138 | |
| 2 | 2017 | 93 | |
| 3 | 2023 | 71 | |
| 4 | 2012 | 71 | |
| 5 | 2018 | 60 | |
| 6 | 2017 | 50 | |
| 7 | 2020 | 49 | |
| 8 | 2020 | 45 | |
| 9 | 2018 | 44 | |
| 10 | 2018 | 42 | |
| 11 | 2020 | 39 | |
| 12 | 2024 | 36 | |
| 13 | 2019 | 35 | |
| 14 | 2021 | 30 | |
| 15 | 2018 | 30 | |
| 16 | 2024 | 28 | |
| 17 | 2020 | 28 | |
| 18 | 2020 | 24 | |
| 19 | 2024 | 22 | |
| 20 | 2012 | 21 |
About Xiaowei Nie
Xiaowei Nie is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Biochemistry, Immunology and Reproductive Medicine, having authored 63 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (13 papers), Eicosanoids and Hypertension Pharmacology (6 papers), Ovarian function and disorders (6 papers), Circular RNAs in diseases (5 papers), Nitric Oxide and Endothelin Effects (3 papers), Virus-based gene therapy research (3 papers), Retinal Diseases and Treatments (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Reproductive Medicine (134 citations), Cancer Research (217 citations), Biochemistry (108 citations), Biological Psychiatry (20 citations) and Pulmonary and Respiratory Medicine (254 citations). Xiaowei Nie has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Daorong Hou, Jin‐Song Bian, Youai Dai, Lei Cao, Jianxin Tan, Daling Zhu, Yuan Zheng, Youjin Dai, Qin Chen and Heling Fu. Their work appears in journals such as Vascular Pharmacology, Biomolecules, Cellular Physiology and Biochemistry, Journal of Hepatology and Clinica Chimica Acta.
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.