Xiaobin Liu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Air Quality and Health Impacts
- Climate Change and Health Impacts
Papers in
-
- Redox biology and oxidative stress 6
- PI3K/AKT/mTOR signaling in cancer 5
- RNA modifications and cancer 4
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- Statistical Methods and Bayesian Inference 6
- Statistical Methods in Clinical Trials 5
- Statistical Methods and Inference 4
- Co-authors
- Mariusz A. Wasik (7 shared papers)Hongli Wu (7 shared papers)Ke Zu (6 shared papers)Qian Zhang (2 shared papers)Hong Y. Wang (2 shared papers)Zhicheng Dong (2 shared papers)Min Liu (2 shared papers)Julie E. Goodman (5 shared papers)
- Journals
- Computers in Biology and Medicine (2 papers)Investigative Ophthalmology & Visual Science (2 papers)Environment International (2 papers)PLoS ONE (2 papers)Journal of Econometrics (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Xiaobin Liu
72 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 145
- Cancer Research 158
- Health, Toxicology and Mutagenesis 135
- Molecular Biology 548
- Pathology and Forensic Medicine 115
- Dermatology 55
Countries citing papers authored by Xiaobin Liu
This map shows the geographic impact of Xiaobin Liu'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 Xiaobin Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobin Liu more than expected).
Fields of papers citing papers by Xiaobin Liu
This network shows the impact of papers produced by Xiaobin Liu. 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 Xiaobin Liu. The network helps show where Xiaobin Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaobin Liu, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 108 | |
| 2 | 2007 | 104 | |
| 3 | 2014 | 96 | |
| 4 | 2005 | 68 | |
| 5 | 2015 | 68 | |
| 6 | 2007 | 56 | |
| 7 | 2019 | 48 | |
| 8 | 2017 | 48 | |
| 9 | 2015 | 45 | |
| 10 | 2017 | 42 | |
| 11 | 2019 | 34 | |
| 12 | 2012 | 31 | |
| 13 | 2017 | 31 | |
| 14 | 2016 | 30 | |
| 15 | 2008 | 29 | |
| 16 | 2018 | 28 | |
| 17 | 2007 | 26 | |
| 18 | 2018 | 26 | |
| 19 | 2018 | 25 | |
| 20 | 2017 | 23 |
About Xiaobin Liu
Xiaobin Liu is a scholar working on Molecular Biology, Statistics and Probability, Cancer Research, Health, Toxicology and Mutagenesis and Immunology, having authored 76 papers that have together received 1.3k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (6 papers), Redox biology and oxidative stress (6 papers), Air Quality and Health Impacts (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Statistical Methods in Clinical Trials (5 papers), RNA modifications and cancer (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Statistical Methods and Inference (4 papers). The work is most often cited by research in Cancer Research (158 citations), Health, Toxicology and Mutagenesis (135 citations), Molecular Biology (548 citations), Pathology and Forensic Medicine (115 citations) and Dermatology (55 citations). Xiaobin Liu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Mariusz A. Wasik, Hongli Wu, Ke Zu, Qian Zhang, Hong Y. Wang, Zhicheng Dong, Min Liu, Julie E. Goodman, Christine T. Loftus and Michał Marzec. Their work appears in journals such as Computers in Biology and Medicine, Investigative Ophthalmology & Visual Science, Environment International, PLoS ONE and Journal of Econometrics.
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.