Junwei Nie
Impact in
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- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- DNA and Nucleic Acid Chemistry
- Developmental Biology and Gene Regulation
- Congenital heart defects research
- PI3K/AKT/mTOR signaling in cancer
Papers in
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- Cardiac Fibrosis and Remodeling 3
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- Congenital heart defects research 4
- Epigenetics and DNA Methylation 2
- RNA Research and Splicing 2
- Genomics and Chromatin Dynamics 2
- PI3K/AKT/mTOR signaling in cancer 2
- Signaling Pathways in Disease 1
- Co-authors
- Zhongzhou Yang (7 shared papers)Yunshan Cao (5 shared papers)Shuangshuang Lu (5 shared papers)Xiangqi Wu (4 shared papers)Xiaoshan Hu (4 shared papers)Xia Zhao (2 shared papers)Mingyang Jiang (3 shared papers)Xinyi Huang (2 shared papers)
- Journals
- American Journal Of Pathology (2 papers)Genome biology (2 papers)PLoS ONE (1 paper)The FASEB Journal (1 paper)Nature (1 paper)
- Partner nations
- ChinaSwitzerlandFrance
In The Last Decade
Junwei Nie
13 papers receiving 454 citations
Peers
Comparison fields: 5 of 49
- Molecular Biology 307
- Cancer Research 32
- Cardiology and Cardiovascular Medicine 54
- Aging 2
- Cell Biology 16
Countries citing papers authored by Junwei Nie
This map shows the geographic impact of Junwei 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 Junwei Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junwei Nie more than expected).
Fields of papers citing papers by Junwei Nie
This network shows the impact of papers produced by Junwei 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 Junwei Nie. The network helps show where Junwei Nie may publish in the future.
Co-authors
The 25 scholars most cited alongside Junwei 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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 124 | |
| 2 | 2013 | 69 | |
| 3 | 2015 | 67 | |
| 4 | 2014 | 33 | |
| 5 | 2014 | 33 | |
| 6 | 2013 | 27 | |
| 7 | 2023 | 27 | |
| 8 | 2011 | 20 | |
| 9 | 2023 | 15 | |
| 10 | 2024 | 15 | |
| 11 | 2013 | 14 | |
| 12 | 2020 | 11 | |
| 13 | 2024 | 4 |
About Junwei Nie
Junwei Nie is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cancer Research, Oncology and Nuclear Energy and Engineering, having authored 13 papers that have together received 459 indexed citations. Recurring topics across this work include Congenital heart defects research (4 papers), Cardiac Fibrosis and Remodeling (3 papers), Epigenetics and DNA Methylation (2 papers), RNA Research and Splicing (2 papers), Genomics and Chromatin Dynamics (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Signaling Pathways in Disease (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Molecular Biology (307 citations), Cancer Research (32 citations), Cardiology and Cardiovascular Medicine (54 citations), Aging (2 citations) and Cell Biology (16 citations). Junwei Nie has collaborated with scholars based in China, Switzerland and France. Frequent co-authors include Zhongzhou Yang, Yunshan Cao, Shuangshuang Lu, Xiangqi Wu, Xiaoshan Hu, Xia Zhao, Mingyang Jiang, Xinyi Huang, Xiaohu Chen and Jiandong Chen. Their work appears in journals such as American Journal Of Pathology, Genome biology, PLoS ONE, The FASEB Journal and Nature.
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.