Hui Nie
Impact in
- Geriatrics and Gerontology top 1%
- Sirtuins and Resveratrol in Medicine
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- RNA modifications and cancer 11
- Epigenetics and DNA Methylation 7
- Oncology 20
- Co-authors
- Han‐Rong Weng (5 shared papers)Weihai Ying (16 shared papers)Chunlin Ou (14 shared papers)Zhigang Zhang (18 shared papers)Jun Li (16 shared papers)Lei Zhu (15 shared papers)Xiaomei Yang (15 shared papers)Yunyi Hong (8 shared papers)
- Journals
- Journal of Neurophysiology (3 papers)Biochemical and Biophysical Research Communications (3 papers)Frontiers in Medicine (3 papers)Journal of Cancer (3 papers)Neurochemical Research (2 papers)
- Partner nations
- ChinaUnited StatesIreland
In The Last Decade
Hui Nie
113 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 134
- Geriatrics and Gerontology 236
- Cancer Research 510
- Physiology 129
- Condensed Matter Physics 298
- Neurology 147
Countries citing papers authored by Hui Nie
This map shows the geographic impact of Hui 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 Hui Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Nie more than expected).
Fields of papers citing papers by Hui Nie
This network shows the impact of papers produced by Hui 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 Hui Nie. The network helps show where Hui Nie may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui 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 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 289 | |
| 2 | 2018 | 122 | |
| 3 | 2015 | 105 | |
| 4 | 2018 | 91 | |
| 5 | 2015 | 86 | |
| 6 | 2019 | 85 | |
| 7 | 2012 | 72 | |
| 8 | 2010 | 72 | |
| 9 | 2020 | 68 | |
| 10 | 2021 | 66 | |
| 11 | 2009 | 65 | |
| 12 | 2011 | 64 | |
| 13 | 2013 | 62 | |
| 14 | 2012 | 60 | |
| 15 | 2008 | 53 | |
| 16 | 2012 | 52 | |
| 17 | Application of artificial intelligence to the diagnosis and therapy of colorectal cancer. | 2020 | 47 |
| 18 | 2020 | 46 | |
| 19 | 2014 | 46 | |
| 20 | 2010 | 46 |
About Hui Nie
Hui Nie is a scholar working on Molecular Biology, Oncology, Cancer Research, Physiology and Pulmonary and Respiratory Medicine, having authored 115 papers that have together received 2.8k indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (12 papers), RNA modifications and cancer (11 papers), Ferroptosis and cancer prognosis (11 papers), Cancer-related molecular mechanisms research (8 papers), Epigenetics and DNA Methylation (7 papers), Cancer, Hypoxia, and Metabolism (7 papers), Hippo pathway signaling and YAP/TAZ (6 papers) and Autophagy in Disease and Therapy (6 papers). The work is most often cited by research in Geriatrics and Gerontology (236 citations), Cancer Research (510 citations), Physiology (129 citations), Condensed Matter Physics (298 citations) and Neurology (147 citations). Hui Nie has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Han‐Rong Weng, Weihai Ying, Chunlin Ou, Zhigang Zhang, Jun Li, Lei Zhu, Xiaomei Yang, Yunyi Hong, Andrew Edwards and I.C. Kizilyalli. Their work appears in journals such as Journal of Neurophysiology, Biochemical and Biophysical Research Communications, Frontiers in Medicine, Journal of Cancer and Neurochemical Research.
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.