Huanye Mo
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Hepatology top 10%
Papers in
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- RNA modifications and cancer 7
- Ubiquitin and proteasome pathways 4
- RNA Research and Splicing 3
- Protein Degradation and Inhibitors 2
- Cancer-related gene regulation 2
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- Cancer-related molecular mechanisms research 9
- Cancer, Hypoxia, and Metabolism 4
- Co-authors
- Kangsheng Tu (12 shared papers)Tianxiang Chen (12 shared papers)Runkun Liu (11 shared papers)Yongshen Niu (7 shared papers)Liang Wang (4 shared papers)Liankang Sun (6 shared papers)Bowen Yao (7 shared papers)Qiuran Xu (7 shared papers)
In The Last Decade
Huanye Mo
24 papers receiving 582 citations
Peers
Comparison fields: 5 of 60
- Cancer Research 294
- Hepatology 44
- Molecular Biology 343
- Pulmonary and Respiratory Medicine 80
- Oncology 54
Countries citing papers authored by Huanye Mo
This map shows the geographic impact of Huanye Mo'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 Huanye Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huanye Mo more than expected).
Fields of papers citing papers by Huanye Mo
This network shows the impact of papers produced by Huanye Mo. 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 Huanye Mo. The network helps show where Huanye Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Huanye Mo, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 59 | |
| 2 | 2019 | 59 | |
| 3 | 2021 | 50 | |
| 4 | 2021 | 47 | |
| 5 | 2019 | 36 | |
| 6 | 2022 | 33 | |
| 7 | 2020 | 29 | |
| 8 | 2020 | 26 | |
| 9 | 2020 | 26 | |
| 10 | 2021 | 25 | |
| 11 | 2021 | 22 | |
| 12 | 2019 | 22 | |
| 13 | 2019 | 21 | |
| 14 | 2022 | 20 | |
| 15 | 2022 | 17 | |
| 16 | 2021 | 17 | |
| 17 | 2019 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2020 | 12 | |
| 20 | 2023 | 10 |
About Huanye Mo
Huanye Mo is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Cell Biology, having authored 24 papers that have together received 584 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), RNA modifications and cancer (7 papers), Ferroptosis and cancer prognosis (4 papers), Ubiquitin and proteasome pathways (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), RNA Research and Splicing (3 papers), Protein Degradation and Inhibitors (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Cancer Research (294 citations), Hepatology (44 citations), Molecular Biology (343 citations), Pulmonary and Respiratory Medicine (80 citations) and Oncology (54 citations). Huanye Mo has collaborated with scholars based in China and Belgium. Frequent co-authors include Kangsheng Tu, Tianxiang Chen, Runkun Liu, Yongshen Niu, Liang Wang, Liankang Sun, Bowen Yao, Qiuran Xu, Qingguang Liu and Xuelian Xiao. Their work appears in journals such as Biomedicine & Pharmacotherapy, Biochemical and Biophysical Research Communications, Cell Death and Disease, Journal of Cancer and Cancer Letters.
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.