Jun Luo
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Agronomy and Crop Science top 5%
Papers in
-
- Peroxisome Proliferator-Activated Receptors 8
- RNA modifications and cancer 8
-
- Cancer-related molecular mechanisms research 15
- MicroRNA in disease regulation 8
- Co-authors
- Juan J. Loor (21 shared papers)Hengbo Shi (9 shared papers)Ashraf Amanullah (3 shared papers)Dawei Yao (6 shared papers)Yuting Sun (4 shared papers)Terry M. Hudson (2 shared papers)Huaiping Shi (4 shared papers)Shuang Sun (7 shared papers)
- Journals
- Journal of Dairy Science (7 papers)International Journal of Molecular Sciences (5 papers)Foods (4 papers)Reproduction in Domestic Animals (3 papers)International Journal of Biological Macromolecules (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jun Luo
67 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 98
- Cancer Research 357
- Agronomy and Crop Science 222
- Biochemistry 154
- Nutrition and Dietetics 179
- Molecular Biology 785
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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 136 | |
| 2 | 2013 | 130 | |
| 3 | 2014 | 63 | |
| 4 | 2012 | 63 | |
| 5 | 2014 | 63 | |
| 6 | 2014 | 54 | |
| 7 | 2016 | 53 | |
| 8 | 2014 | 52 | |
| 9 | 2014 | 43 | |
| 10 | 2019 | 43 | |
| 11 | 2011 | 42 | |
| 12 | 2016 | 37 | |
| 13 | 2014 | 36 | |
| 14 | 2014 | 35 | |
| 15 | 2019 | 35 | |
| 16 | 2017 | 32 | |
| 17 | 2016 | 32 | |
| 18 | 2015 | 31 | |
| 19 | 2014 | 28 | |
| 20 | 2018 | 26 |
About Jun Luo
Jun Luo is a scholar working on Molecular Biology, Cancer Research, Genetics, Agronomy and Crop Science and Biochemistry, having authored 74 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (15 papers), Genetic and phenotypic traits in livestock (11 papers), Animal Genetics and Reproduction (11 papers), Reproductive Physiology in Livestock (10 papers), Lipid metabolism and biosynthesis (9 papers), Peroxisome Proliferator-Activated Receptors (8 papers), MicroRNA in disease regulation (8 papers) and RNA modifications and cancer (8 papers). The work is most often cited by research in Cancer Research (357 citations), Agronomy and Crop Science (222 citations), Biochemistry (154 citations), Nutrition and Dietetics (179 citations) and Molecular Biology (785 citations). Jun Luo has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Juan J. Loor, Hengbo Shi, Ashraf Amanullah, Dawei Yao, Yuting Sun, Terry M. Hudson, Huaiping Shi, Shuang Sun, Wei Wang and Huifen Xu. Their work appears in journals such as Journal of Dairy Science, International Journal of Molecular Sciences, Foods, Reproduction in Domestic Animals and International Journal of Biological Macromolecules.
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.