Hui Ning
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Behavioral Neuroscience top 10%
Papers in
-
- Pluripotent Stem Cells Research 5
- CRISPR and Genetic Engineering 3
- Glycosylation and Glycoproteins Research 2
-
- Pregnancy and preeclampsia studies 4
- Co-authors
- Xin Ni (7 shared papers)Jiarui Li (1 shared paper)Ping Zhang (1 shared paper)Tingting Jiao (3 shared papers)Shanrong Liu (4 shared papers)Yemin Zhang (3 shared papers)Hao Meng (1 shared paper)Dan Wang (1 shared paper)
- Journals
- Nature Communications (2 papers)Cancer Letters (1 paper)Human Molecular Genetics (1 paper)Frontiers in Psychiatry (1 paper)Cell Cycle (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Hui Ning
39 papers receiving 678 citations
Peers
Comparison fields: 5 of 95
- Cancer Research 227
- Behavioral Neuroscience 39
- Obstetrics and Gynecology 74
- Molecular Biology 383
- Reproductive Medicine 41
Countries citing papers authored by Hui Ning
This map shows the geographic impact of Hui Ning'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 Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Ning more than expected).
Fields of papers citing papers by Hui Ning
This network shows the impact of papers produced by Hui Ning. 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 Ning. The network helps show where Hui Ning may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui Ning, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 142 | |
| 2 | 2016 | 78 | |
| 3 | 2012 | 59 | |
| 4 | 2004 | 32 | |
| 5 | 2016 | 31 | |
| 6 | 2023 | 28 | |
| 7 | 2017 | 27 | |
| 8 | 2015 | 24 | |
| 9 | 2011 | 21 | |
| 10 | 2012 | 20 | |
| 11 | 2007 | 20 | |
| 12 | 2008 | 17 | |
| 13 | 2016 | 16 | |
| 14 | 2008 | 16 | |
| 15 | 2022 | 15 | |
| 16 | 2011 | 15 | |
| 17 | 2007 | 14 | |
| 18 | 2004 | 13 | |
| 19 | 2011 | 12 | |
| 20 | 2017 | 12 |
About Hui Ning
Hui Ning is a scholar working on Molecular Biology, Obstetrics and Gynecology, Public Health, Environmental and Occupational Health, Cancer Research and Behavioral Neuroscience, having authored 40 papers that have together received 692 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Pluripotent Stem Cells Research (5 papers), Pregnancy and preeclampsia studies (4 papers), Stress Responses and Cortisol (4 papers), Reproductive Biology and Fertility (4 papers), MicroRNA in disease regulation (3 papers), CRISPR and Genetic Engineering (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Cancer Research (227 citations), Behavioral Neuroscience (39 citations), Obstetrics and Gynecology (74 citations), Molecular Biology (383 citations) and Reproductive Medicine (41 citations). Hui Ning has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Xin Ni, Jiarui Li, Ping Zhang, Tingting Jiao, Shanrong Liu, Yemin Zhang, Hao Meng, Dan Wang, Yuan Gao and Jun Ou. Their work appears in journals such as Nature Communications, Cancer Letters, Human Molecular Genetics, Frontiers in Psychiatry and Cell Cycle.
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.