Junling Luo
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
Papers in
-
- Photosynthetic Processes and Mechanisms 8
- Plant Reproductive Biology 4
-
- Plant Molecular Biology Research 6
- Plant nutrient uptake and metabolism 3
- Chromosomal and Genetic Variations 3
- Plant Stress Responses and Tolerance 3
- Co-authors
- Feng Rao (3 shared papers)Zhong-Liang Zhang (1 shared paper)Gang Wu (12 shared papers)Xiaohong Yan (9 shared papers)Xinhua Zeng (9 shared papers)Jun Li (4 shared papers)Xiaojue Peng (3 shared papers)Xiaofei Li (4 shared papers)
- Journals
- Gene (2 papers)Frontiers in Plant Science (2 papers)International Journal of Molecular Sciences (2 papers)Rice (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Junling Luo
19 papers receiving 389 citations
Peers
Comparison fields: 5 of 77
- Modeling and Simulation 45
- Biochemistry 47
- Plant Science 203
- Molecular Biology 209
- Biotechnology 23
Countries citing papers authored by Junling Luo
This map shows the geographic impact of Junling 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 Junling Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junling Luo more than expected).
Fields of papers citing papers by Junling Luo
This network shows the impact of papers produced by Junling 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 Junling Luo. The network helps show where Junling Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Junling 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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 95 | |
| 2 | 2017 | 53 | |
| 3 | 2014 | 52 | |
| 4 | 2015 | 40 | |
| 5 | 2008 | 36 | |
| 6 | 2012 | 16 | |
| 7 | 2018 | 14 | |
| 8 | 2021 | 13 | |
| 9 | 2014 | 13 | |
| 10 | 2018 | 13 | |
| 11 | 2021 | 12 | |
| 12 | 2016 | 11 | |
| 13 | 2017 | 10 | |
| 14 | 2020 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2020 | 4 | |
| 17 | Effects of non-procedural factors in Brassica napus genetic transformation. | 2017 | 3 |
| 18 | 2020 | 3 | |
| 19 | 2020 | 2 |
About Junling Luo
Junling Luo is a scholar working on Molecular Biology, Plant Science, Genetics, Public Health, Environmental and Occupational Health and Modeling and Simulation, having authored 19 papers that have together received 399 indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (8 papers), Plant Molecular Biology Research (6 papers), Plant Reproductive Biology (4 papers), Plant nutrient uptake and metabolism (3 papers), Chromosomal and Genetic Variations (3 papers), Plant Stress Responses and Tolerance (3 papers), Evolution and Genetic Dynamics (2 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (2 papers). The work is most often cited by research in Modeling and Simulation (45 citations), Biochemistry (47 citations), Plant Science (203 citations), Molecular Biology (209 citations) and Biotechnology (23 citations). Junling Luo has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Feng Rao, Zhong-Liang Zhang, Gang Wu, Xiaohong Yan, Xinhua Zeng, Jun Li, Xiaojue Peng, Xiaofei Li, Shaohua Tang and Fang Liu. Their work appears in journals such as Gene, Frontiers in Plant Science, International Journal of Molecular Sciences, Rice and Scientific Reports.
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.