Jun Luo
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- Biochemistry top 1%
- Lipid metabolism and biosynthesis
Papers in
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- Peroxisome Proliferator-Activated Receptors 15
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- Cancer-related molecular mechanisms research 20
- MicroRNA in disease regulation 19
- Cancer, Lipids, and Metabolism 16
- Co-authors
- Juan J. Loor (27 shared papers)Huifen Xu (17 shared papers)Hengbo Shi (18 shared papers)Deming Gou (10 shared papers)Kang Kang (8 shared papers)Xianzi Lin (5 shared papers)Dawei Yao (12 shared papers)Huaiping Shi (12 shared papers)
- Journals
- Journal of Dairy Science (14 papers)Journal of Agricultural and Food Chemistry (8 papers)Gene (5 papers)Scientific Reports (4 papers)Journal of Animal Science and Biotechnology (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jun Luo
89 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 116
- Cancer Research 990
- Biochemistry 352
- Nutrition and Dietetics 337
- Molecular Biology 1.3k
- Agronomy and Crop Science 187
Countries citing papers authored by Jun Luo
This map shows the geographic impact of Jun Luo'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 Jun Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Luo more than expected).
Fields of papers citing papers by Jun Luo
This network shows the impact of papers produced by Jun Luo. 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 Jun Luo. The network helps show where Jun Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Luo, 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 116 | |
| 2 | 2013 | 94 | |
| 3 | 2012 | 90 | |
| 4 | 2017 | 89 | |
| 5 | 2013 | 87 | |
| 6 | 2012 | 84 | |
| 7 | 2013 | 74 | |
| 8 | 2015 | 74 | |
| 9 | 2017 | 74 | |
| 10 | 2016 | 69 | |
| 11 | 2014 | 66 | |
| 12 | 2016 | 57 | |
| 13 | 2013 | 54 | |
| 14 | 2016 | 51 | |
| 15 | 2017 | 46 | |
| 16 | 2015 | 46 | |
| 17 | 2016 | 43 | |
| 18 | 2018 | 43 | |
| 19 | 2018 | 37 | |
| 20 | 2015 | 35 |
About Jun Luo
Jun Luo is a scholar working on Molecular Biology, Cancer Research, Biochemistry, Surgery and Nutrition and Dietetics, having authored 93 papers that have together received 2.3k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (26 papers), Cancer-related molecular mechanisms research (20 papers), MicroRNA in disease regulation (19 papers), Cancer, Lipids, and Metabolism (16 papers), Cholesterol and Lipid Metabolism (16 papers), Fatty Acid Research and Health (15 papers), Peroxisome Proliferator-Activated Receptors (15 papers) and Adipose Tissue and Metabolism (8 papers). The work is most often cited by research in Cancer Research (990 citations), Biochemistry (352 citations), Nutrition and Dietetics (337 citations), Molecular Biology (1.3k citations) and Agronomy and Crop Science (187 citations). Jun Luo has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Juan J. Loor, Huifen Xu, Hengbo Shi, Deming Gou, Kang Kang, Xianzi Lin, Dawei Yao, Huaiping Shi, Ping Zhang and Jiangjiang Zhu. Their work appears in journals such as Journal of Dairy Science, Journal of Agricultural and Food Chemistry, Gene, Scientific Reports and Journal of Animal Science and Biotechnology.
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.