Qing Hu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Physiology top 5%
- Reproductive biology and impacts on aquatic species
Papers in
-
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 4
-
- Circular RNAs in diseases 2
- Co-authors
- Dapeng Li (4 shared papers)Yu Gao (5 shared papers)Xin Jin (4 shared papers)Wei Guo (3 shared papers)Xue Pan (1 shared paper)Jun Wang (1 shared paper)Bing Dai (1 shared paper)Xiaohong Xie (1 shared paper)
- Journals
- European Journal of Obstetrics & Gynecology and Reproductive Biology (2 papers)Scientific Reports (2 papers)Frontiers in Genetics (1 paper)Endocrinology (1 paper)Cancer Biotherapy and Radiopharmaceuticals (1 paper)
- Partner nations
- China
In The Last Decade
Qing Hu
29 papers receiving 766 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 306
- Physiology 86
- Reproductive Medicine 55
- Obstetrics and Gynecology 36
- Aquatic Science 38
Countries citing papers authored by Qing Hu
This map shows the geographic impact of Qing Hu'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 Qing Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Hu more than expected).
Fields of papers citing papers by Qing Hu
This network shows the impact of papers produced by Qing Hu. 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 Qing Hu. The network helps show where Qing Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Qing Hu, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 134 | |
| 2 | Placenta inflammation is closely associated with gestational diabetes mellitus. | 2021 | 102 |
| 3 | 2015 | 100 | |
| 4 | 2014 | 49 | |
| 5 | 2018 | 44 | |
| 6 | 2016 | 44 | |
| 7 | 2017 | 41 | |
| 8 | 2013 | 30 | |
| 9 | 2014 | 25 | |
| 10 | 2013 | 25 | |
| 11 | 2016 | 21 | |
| 12 | 2020 | 19 | |
| 13 | 2014 | 18 | |
| 14 | 2018 | 17 | |
| 15 | 2017 | 17 | |
| 16 | 2011 | 14 | |
| 17 | 2021 | 13 | |
| 18 | 2019 | 9 | |
| 19 | 2021 | 8 | |
| 20 | 2021 | 7 |
About Qing Hu
Qing Hu is a scholar working on Cancer Research, Molecular Biology, Rheumatology, Genetics and Oncology, having authored 30 papers that have together received 773 indexed citations. Recurring topics across this work include Pelvic floor disorders treatments (6 papers), MicroRNA in disease regulation (5 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Cancer-related molecular mechanisms research (4 papers), Reproductive biology and impacts on aquatic species (2 papers), Circular RNAs in diseases (2 papers), Aquaculture Nutrition and Growth (2 papers) and Enhanced Recovery After Surgery (2 papers). The work is most often cited by research in Cancer Research (306 citations), Physiology (86 citations), Reproductive Medicine (55 citations), Obstetrics and Gynecology (36 citations) and Aquatic Science (38 citations). Qing Hu has collaborated with scholars based in China. Frequent co-authors include Dapeng Li, Yu Gao, Xin Jin, Wei Guo, Xue Pan, Jun Wang, Bing Dai, Xiaohong Xie, Chao Yu and Haibing Guo. Their work appears in journals such as European Journal of Obstetrics & Gynecology and Reproductive Biology, Scientific Reports, Frontiers in Genetics, Endocrinology and Cancer Biotherapy and Radiopharmaceuticals.
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.