Hao Xi
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
Papers in
-
- Cell death mechanisms and regulation 5
- Circular RNAs in diseases 4
- Glycosylation and Glycoproteins Research 2
- RNA modifications and cancer 2
- Cancer-related gene regulation 2
-
- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 3
- Co-authors
- Te Liu (2 shared papers)Chuan Chen (2 shared papers)Yongyi Huang (2 shared papers)Chenggang Li (1 shared paper)Zhiming Zhao (1 shared paper)Jun Xue (1 shared paper)Huiying Chi (1 shared paper)Jiulin Chen (1 shared paper)
- Journals
- Blood (3 papers)Gene (1 paper)British Journal of Haematology (1 paper)Oncology Reports (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Hao Xi
25 papers receiving 677 citations
Peers
Comparison fields: 5 of 83
- Cancer Research 280
- Molecular Medicine 90
- Molecular Biology 514
- Hematology 52
- Biomaterials 46
Countries citing papers authored by Hao Xi
This map shows the geographic impact of Hao Xi'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 Hao Xi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Xi more than expected).
Fields of papers citing papers by Hao Xi
This network shows the impact of papers produced by Hao Xi. 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 Hao Xi. The network helps show where Hao Xi may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Xi, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 123 | |
| 2 | 2015 | 107 | |
| 3 | 2015 | 87 | |
| 4 | 2020 | 56 | |
| 5 | 2012 | 42 | |
| 6 | 2017 | 33 | |
| 7 | 2014 | 29 | |
| 8 | 2016 | 26 | |
| 9 | 2012 | 25 | |
| 10 | 2014 | 24 | |
| 11 | 2014 | 24 | |
| 12 | 2017 | 17 | |
| 13 | 2021 | 15 | |
| 14 | 2015 | 13 | |
| 15 | 2014 | 9 | |
| 16 | 2021 | 8 | |
| 17 | 2012 | 8 | |
| 18 | 2015 | 7 | |
| 19 | 2012 | 7 | |
| 20 | 2023 | 7 |
About Hao Xi
Hao Xi is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Hematology, having authored 25 papers that have together received 683 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (5 papers), Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (4 papers), MicroRNA in disease regulation (3 papers), Multiple Myeloma Research and Treatments (3 papers), Glycosylation and Glycoproteins Research (2 papers), RNA modifications and cancer (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Cancer Research (280 citations), Molecular Medicine (90 citations), Molecular Biology (514 citations), Hematology (52 citations) and Biomaterials (46 citations). Hao Xi has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Te Liu, Chuan Chen, Yongyi Huang, Chenggang Li, Zhiming Zhao, Jun Xue, Huiying Chi, Jiulin Chen, Peng Wang and Yongqiang Hua. Their work appears in journals such as Blood, Gene, British Journal of Haematology, Oncology 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.