Chenxia Hu
Impact in
- Genetics top 1%
- Mesenchymal stem cell research
- Hepatology top 2%
- Liver physiology and pathology
Papers in ⓘ
- Genetics 26
- Mesenchymal stem cell research 26
- Hepatology 16
- Liver physiology and pathology 11
- Co-authors
- Lanjuan Li (22 shared papers)Lanjuan Li (8 shared papers)Lingfei Zhao (24 shared papers)Zhongwen Wu (5 shared papers)Yong Huang (1 shared paper)Linxiao Fan (3 shared papers)Panpan Cen (3 shared papers)Jianghua Chen (7 shared papers)
- Journals
- Journal of Cellular and Molecular Medicine (13 papers)Stem Cell Research & Therapy (11 papers)International Journal of Molecular Sciences (5 papers)Scientific Reports (2 papers)Cell Death and Disease (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Chenxia Hu
50 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Genetics 788
- Hepatology 414
- Cancer Research 266
- Surgery 636
- Developmental Neuroscience 59
Countries citing papers authored by Chenxia Hu
This map shows the geographic impact of Chenxia 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 Chenxia Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenxia Hu more than expected).
Fields of papers citing papers by Chenxia Hu
This network shows the impact of papers produced by Chenxia 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 Chenxia Hu. The network helps show where Chenxia Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenxia 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Preconditioning influences mesenchymal stem cell properties in vitro and in vivo Hit paper breakdown → | 2018 | 320 |
| 2 | 2017 | 220 | |
| 3 | 2020 | 110 | |
| 4 | 2020 | 107 | |
| 5 | 2016 | 100 | |
| 6 | 2015 | 93 | |
| 7 | 2016 | 91 | |
| 8 | 2017 | 76 | |
| 9 | 2019 | 70 | |
| 10 | 2019 | 68 | |
| 11 | 2019 | 61 | |
| 12 | 2019 | 57 | |
| 13 | 2019 | 53 | |
| 14 | 2018 | 51 | |
| 15 | 2018 | 51 | |
| 16 | 2020 | 46 | |
| 17 | 2019 | 41 | |
| 18 | 2019 | 37 | |
| 19 | 2019 | 35 | |
| 20 | 2019 | 34 |
About Chenxia Hu
Chenxia Hu is a scholar working on Genetics, Hepatology, Surgery, Aging and Epidemiology, having authored 52 papers that have together received 2.2k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (26 papers), Tissue Engineering and Regenerative Medicine (15 papers), Organ Transplantation Techniques and Outcomes (12 papers), Liver physiology and pathology (11 papers), Pluripotent Stem Cells Research (8 papers), Autophagy in Disease and Therapy (7 papers), Liver Disease Diagnosis and Treatment (5 papers) and Extracellular vesicles in disease (5 papers). The work is most often cited by research in Genetics (788 citations), Hepatology (414 citations), Cancer Research (266 citations), Surgery (636 citations) and Developmental Neuroscience (59 citations). Chenxia Hu has collaborated with scholars based in China and United States. Frequent co-authors include Lanjuan Li, Lanjuan Li, Lingfei Zhao, Zhongwen Wu, Yong Huang, Linxiao Fan, Panpan Cen, Jianghua Chen, Hongbing Jiang and Lingjian Zhang. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Stem Cell Research & Therapy, International Journal of Molecular Sciences, Scientific Reports and Cell Death and Disease.
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.