Qu Lin
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in ⓘ
- Hepatology 28
- Hepatocellular Carcinoma Treatment and Prognosis 22
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- Cancer, Lipids, and Metabolism 14
- Co-authors
- Xing Li (40 shared papers)Zhan‐Hong Chen (31 shared papers)Min Dong (37 shared papers)Xiaokun Ma (33 shared papers)Xiangyuan Wu (33 shared papers)Dong‐Hao Wu (24 shared papers)Mingsheng Huang (13 shared papers)Dan‐Yun Ruan (25 shared papers)
- Journals
- Journal of Clinical Oncology (11 papers)Tumor Biology (8 papers)Oncotarget (4 papers)Journal of Cancer (4 papers)International Journal of Oncology (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Qu Lin
86 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 112
- Hepatology 349
- Cancer Research 455
- Otorhinolaryngology 79
- Oncology 416
- Epidemiology 399
Countries citing papers authored by Qu Lin
This map shows the geographic impact of Qu Lin'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 Qu Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qu Lin more than expected).
Fields of papers citing papers by Qu Lin
This network shows the impact of papers produced by Qu Lin. 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 Qu Lin. The network helps show where Qu Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Qu Lin, 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 91 | |
| 2 | 2013 | 89 | |
| 3 | 2014 | 77 | |
| 4 | 2016 | 76 | |
| 5 | Exosome-mediated miRNA delivery promotes liver cancer EMT and metastasis. | 2020 | 64 |
| 6 | 2005 | 59 | |
| 7 | 2016 | 51 | |
| 8 | 2005 | 44 | |
| 9 | 2013 | 43 | |
| 10 | 2019 | 42 | |
| 11 | 2018 | 40 | |
| 12 | 2004 | 39 | |
| 13 | 2011 | 37 | |
| 14 | 2016 | 37 | |
| 15 | 2014 | 35 | |
| 16 | 2017 | 35 | |
| 17 | 2015 | 33 | |
| 18 | 2017 | 32 | |
| 19 | Value of the peripheral blood B-cells subsets in patients with ankylosing spondylitis. | 2009 | 31 |
| 20 | 2004 | 29 |
About Qu Lin
Qu Lin is a scholar working on Hepatology, Cancer Research, Oncology, Epidemiology and Rheumatology, having authored 95 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (22 papers), Cancer, Lipids, and Metabolism (14 papers), Liver Disease Diagnosis and Treatment (14 papers), Inflammatory Biomarkers in Disease Prognosis (10 papers), Hepatitis B Virus Studies (7 papers), Spondyloarthritis Studies and Treatments (7 papers), Rheumatoid Arthritis Research and Therapies (6 papers) and Bioactive Natural Diterpenoids Research (6 papers). The work is most often cited by research in Hepatology (349 citations), Cancer Research (455 citations), Otorhinolaryngology (79 citations), Oncology (416 citations) and Epidemiology (399 citations). Qu Lin has collaborated with scholars based in China and United States. Frequent co-authors include Xing Li, Zhan‐Hong Chen, Min Dong, Xiaokun Ma, Xiangyuan Wu, Dong‐Hao Wu, Mingsheng Huang, Dan‐Yun Ruan, Jing‐Yun Wen and Tiantian Wang. Their work appears in journals such as Journal of Clinical Oncology, Tumor Biology, Oncotarget, Journal of Cancer and International Journal of 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.