Xiaolin Liu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Agronomy and Crop Science top 10%
- Milk Quality and Mastitis in Dairy Cows
Papers in
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- MicroRNA in disease regulation 10
- Cancer-related molecular mechanisms research 3
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- Milk Quality and Mastitis in Dairy Cows 4
- Co-authors
- Hua He (2 shared papers)Hao Huang (1 shared paper)Haixia Cao (2 shared papers)Jian-Gao Fan (2 shared papers)Adam I. Riker (1 shared paper)Yaguang Xi (1 shared paper)Bin Yi (1 shared paper)Hongliang Wang (4 shared papers)
- Journals
- PLoS ONE (2 papers)Gene (2 papers)Journal of Cellular and Molecular Medicine (1 paper)BMC Cancer (1 paper)Biomedical Chromatography (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaolin Liu
36 papers receiving 744 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 213
- Agronomy and Crop Science 48
- Immunology 83
- Genetics 120
- Clinical Biochemistry 16
Countries citing papers authored by Xiaolin Liu
This map shows the geographic impact of Xiaolin 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 Xiaolin Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolin Liu more than expected).
Fields of papers citing papers by Xiaolin Liu
This network shows the impact of papers produced by Xiaolin 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 Xiaolin Liu. The network helps show where Xiaolin Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolin 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 74 | |
| 2 | 2013 | 53 | |
| 3 | 2013 | 50 | |
| 4 | 2018 | 41 | |
| 5 | 2010 | 40 | |
| 6 | 2020 | 40 | |
| 7 | 2014 | 37 | |
| 8 | 2014 | 37 | |
| 9 | 2018 | 36 | |
| 10 | 2017 | 35 | |
| 11 | 2014 | 27 | |
| 12 | 2013 | 26 | |
| 13 | 2012 | 24 | |
| 14 | 2020 | 24 | |
| 15 | 2021 | 23 | |
| 16 | 2020 | 22 | |
| 17 | Overexpression and oncogenic function of HMGA2 in endometrial serous carcinogenesis. | 2016 | 19 |
| 18 | 2018 | 19 | |
| 19 | 2023 | 16 | |
| 20 | 2011 | 14 |
About Xiaolin Liu
Xiaolin Liu is a scholar working on Cancer Research, Agronomy and Crop Science, Genetics, Immunology and Genetics, having authored 38 papers that have together received 759 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), Genetic and phenotypic traits in livestock (6 papers), Milk Quality and Mastitis in Dairy Cows (4 papers), Muscle Physiology and Disorders (3 papers), Cancer-related molecular mechanisms research (3 papers), Aquaculture disease management and microbiota (2 papers), Nanoparticle-Based Drug Delivery (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (213 citations), Agronomy and Crop Science (48 citations), Immunology (83 citations), Genetics (120 citations) and Clinical Biochemistry (16 citations). Xiaolin Liu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hua He, Hao Huang, Haixia Cao, Jian-Gao Fan, Adam I. Riker, Yaguang Xi, Bin Yi, Hongliang Wang, Mei Zhang and Rui‐Xu Yang. Their work appears in journals such as PLoS ONE, Gene, Journal of Cellular and Molecular Medicine, BMC Cancer and Biomedical Chromatography.
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.