Suxia Han
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Oncology top 10%
Papers in
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- Ubiquitin and proteasome pathways 8
- RNA modifications and cancer 7
- DNA Repair Mechanisms 6
- Glycosylation and Glycoproteins Research 5
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- Ferroptosis and cancer prognosis 6
- Co-authors
- Qing Zhu (20 shared papers)Liuyun Gong (10 shared papers)Jinlu Ma (21 shared papers)Yujie Zhang (2 shared papers)Mingzhen Zhang (2 shared papers)Mengjiao Cai (12 shared papers)Chenchen He (12 shared papers)Chengcheng Liu (1 shared paper)
- Journals
- Oncotarget (5 papers)Frontiers in Genetics (3 papers)Oncology Reports (3 papers)Journal of Immunology Research (3 papers)Frontiers in Oncology (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Suxia Han
70 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 103
- Cancer Research 400
- Oncology 340
- Molecular Biology 883
- Cell Biology 157
- Pulmonary and Respiratory Medicine 240
Countries citing papers authored by Suxia Han
This map shows the geographic impact of Suxia Han'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 Suxia Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suxia Han more than expected).
Fields of papers citing papers by Suxia Han
This network shows the impact of papers produced by Suxia Han. 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 Suxia Han. The network helps show where Suxia Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Suxia Han, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Application of Radiosensitizers in Cancer Radiotherapy | 2021 | 142 |
| 2 | 2019 | 111 | |
| 3 | 2015 | 96 | |
| 4 | 2012 | 93 | |
| 5 | 2010 | 86 | |
| 6 | 2022 | 83 | |
| 7 | 2015 | 74 | |
| 8 | 2015 | 66 | |
| 9 | 2018 | 47 | |
| 10 | 2013 | 43 | |
| 11 | 2022 | 42 | |
| 12 | 2014 | 40 | |
| 13 | 2023 | 39 | |
| 14 | 2012 | 36 | |
| 15 | 2014 | 34 | |
| 16 | 2019 | 34 | |
| 17 | 2018 | 33 | |
| 18 | 2021 | 28 | |
| 19 | 2019 | 27 | |
| 20 | 2013 | 26 |
About Suxia Han
Suxia Han is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Immunology, having authored 72 papers that have together received 1.8k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (8 papers), Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (7 papers), DNA Repair Mechanisms (6 papers), Ferroptosis and cancer prognosis (6 papers), Nanoplatforms for cancer theranostics (6 papers), Glycosylation and Glycoproteins Research (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). The work is most often cited by research in Cancer Research (400 citations), Oncology (340 citations), Molecular Biology (883 citations), Cell Biology (157 citations) and Pulmonary and Respiratory Medicine (240 citations). Suxia Han has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qing Zhu, Liuyun Gong, Jinlu Ma, Yujie Zhang, Mingzhen Zhang, Mengjiao Cai, Chenchen He, Chengcheng Liu, Yiping Dong and Congya Zhou. Their work appears in journals such as Oncotarget, Frontiers in Genetics, Oncology Reports, Journal of Immunology Research and Frontiers in Oncology.
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.