Lun–Xiu Qin
- Hepatology top 0.1%
- Hepatocellular Carcinoma Treatment and Prognosis 58
- Cancer Research top 0.05%
- Cancer, Hypoxia, and Metabolism 40
- MicroRNA in disease regulation 26
- Cancer-related molecular mechanisms research 26
- Oncology top 0.5%
- Molecular Biology top 0.5%
- RNA modifications and cancer 25
- Immunology top 1%
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- Cholangiocarcinoma and Gallbladder Cancer Studies 35
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- Cancer Research and Treatments 21
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- Bone and Dental Protein Studies 19
- Co-authors
- Zhao–You TangHu‐Liang JiaQing‐Hai YeQiongzhu DongHui‐Chuan SunXin Wei WangAnuradha BudhuMarshonna Forgues
- Cited by
- HepatologyCancer ResearchOncology
- Journals
- Nature Communications (1 paper)The Journal of Experimental Medicine (1 paper)Journal of Clinical Oncology (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Lun–Xiu Qin
230 papers receiving 14.5k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Hepatology 3.5k
- Cancer Research 6.3k
- Oncology 3.8k
- Molecular Biology 7.8k
- Immunology 1.6k
Countries citing papers authored by Lun–Xiu Qin
This map shows the geographic impact of Lun–Xiu Qin'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 Lun–Xiu Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lun–Xiu Qin more than expected).
Fields of papers citing papers by Lun–Xiu Qin
This network shows the impact of papers produced by Lun–Xiu Qin. 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 Lun–Xiu Qin. The network helps show where Lun–Xiu Qin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lun–Xiu Qin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 42 | |
| 6 | 2024 | 8 | |
| 7 | 2023 | 4 | |
| 8 | 2022 | 104 | |
| 9 | 2019 | 23 | |
| 10 | 2018 | 59 | |
| 11 | 2018 | 19 | |
| 12 | 2016 | 10 | |
| 13 | 2013 | 111 | |
| 14 | 2011 | 17 | |
| 15 | 2009 | 172 | |
| 16 | EpCAM and α-Fetoprotein Expression Defines Novel Prognostic Subtypes of Hepatocellular Carcinomabreakdown → | 2008 | 577 |
| 17 | [Application of alpha-fetoprotein in the diagnosis of hepatocellular carcinoma]. | 2008 | 4 |
| 18 | 2007 | 169 | |
| 19 | 2006 | 72 | |
| 20 | 2005 | 162 |
About Lun–Xiu Qin
Lun–Xiu Qin is a scholar working on Hepatology, Cancer Research and Oncology, having authored 236 papers that have together received 14.7k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (58 papers), Cancer, Hypoxia, and Metabolism (40 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (35 papers), MicroRNA in disease regulation (26 papers), Cancer-related molecular mechanisms research (26 papers), RNA modifications and cancer (25 papers), Cancer Research and Treatments (21 papers) and Bone and Dental Protein Studies (19 papers). The work is most often cited by research in Hepatology (3.5k citations), Cancer Research (6.3k citations) and Oncology (3.8k citations). Lun–Xiu Qin has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Zhao–You Tang, Hu‐Liang Jia, Qing‐Hai Ye, Qiongzhu Dong, Hui‐Chuan Sun, Xin Wei Wang, Anuradha Budhu, Marshonna Forgues, Jia Fan and Ning Ren. Their work appears in journals such as Nature Communications, The Journal of Experimental Medicine and Journal of Clinical 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.