Hui Gu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Biological Psychiatry top 10%
Papers in
-
- Circular RNAs in diseases 6
- Epigenetics and DNA Methylation 5
- Surgery 11
- Co-authors
- Zhengwei Yuan (46 shared papers)Xiaowei Wei (34 shared papers)Wei Ma (28 shared papers)Yuxin Tong (5 shared papers)Dan Liu (24 shared papers)Feng Li (4 shared papers)Tianchu Huang (16 shared papers)Peixin Yang (5 shared papers)
- Journals
- Cell Death and Disease (3 papers)Toxicology Letters (3 papers)Frontiers in Cell and Developmental Biology (3 papers)Annals of the New York Academy of Sciences (3 papers)Birth Defects Research Part A Clinical and Molecular Teratology (3 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Hui Gu
87 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 118
- Cancer Research 290
- Biological Psychiatry 30
- Developmental Neuroscience 44
- Obstetrics and Gynecology 76
- Molecular Biology 714
Countries citing papers authored by Hui Gu
This map shows the geographic impact of Hui Gu'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 Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Gu more than expected).
Fields of papers citing papers by Hui Gu
This network shows the impact of papers produced by Hui Gu. 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 Gu. The network helps show where Hui Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui Gu, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 115 | |
| 2 | 2015 | 69 | |
| 3 | 2014 | 58 | |
| 4 | 2012 | 58 | |
| 5 | 2012 | 55 | |
| 6 | 2020 | 53 | |
| 7 | 2014 | 51 | |
| 8 | 2015 | 51 | |
| 9 | 2021 | 46 | |
| 10 | 2016 | 39 | |
| 11 | 2018 | 38 | |
| 12 | 2015 | 34 | |
| 13 | 2013 | 33 | |
| 14 | 2014 | 32 | |
| 15 | 2019 | 31 | |
| 16 | 2021 | 31 | |
| 17 | 2018 | 31 | |
| 18 | 2014 | 31 | |
| 19 | 2015 | 27 | |
| 20 | 2018 | 26 |
About Hui Gu
Hui Gu is a scholar working on Molecular Biology, Surgery, Cancer Research, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health, having authored 89 papers that have together received 1.6k indexed citations. Recurring topics across this work include Spinal Dysraphism and Malformations (9 papers), MicroRNA in disease regulation (8 papers), Circular RNAs in diseases (6 papers), Epigenetics and DNA Methylation (5 papers), Prenatal Screening and Diagnostics (5 papers), Pregnancy and preeclampsia studies (4 papers), Autophagy in Disease and Therapy (4 papers) and Mesenchymal stem cell research (4 papers). The work is most often cited by research in Cancer Research (290 citations), Biological Psychiatry (30 citations), Developmental Neuroscience (44 citations), Obstetrics and Gynecology (76 citations) and Molecular Biology (714 citations). Hui Gu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Zhengwei Yuan, Xiaowei Wei, Wei Ma, Yuxin Tong, Dan Liu, Feng Li, Tianchu Huang, Peixin Yang, Yangguang Shao and Yu Pan. Their work appears in journals such as Cell Death and Disease, Toxicology Letters, Frontiers in Cell and Developmental Biology, Annals of the New York Academy of Sciences and Birth Defects Research Part A Clinical and Molecular Teratology.
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.