Kun Lu
Impact in
- Virology top 2%
- Plant Science top 0.5%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Plant nutrient uptake and metabolism
Papers in
-
- Photosynthetic Processes and Mechanisms 40
- Plant Gene Expression Analysis 33
- Nitrogen and Sulfur Effects on Brassica 27
- Plant biochemistry and biosynthesis 17
- Plant Science 106
- Plant Molecular Biology Research 41
- Plant nutrient uptake and metabolism 23
- Plant Stress Responses and Tolerance 21
- Co-authors
- Jiana Li (106 shared papers)Cunmin Qu (69 shared papers)Michael F. Summers (5 shared papers)Xiao Heng (4 shared papers)Liezhao Liu (26 shared papers)Xinfu Xu (24 shared papers)Hongju Jian (13 shared papers)Lijuan Wei (24 shared papers)
- Journals
- Frontiers in Plant Science (13 papers)International Journal of Molecular Sciences (12 papers)Genes (8 papers)PLoS ONE (7 papers)Plants (6 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Kun Lu
166 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 119
- Virology 362
- Plant Science 2.5k
- Biochemistry 417
- Molecular Biology 2.8k
- Biochemistry 110
Countries citing papers authored by Kun Lu
This map shows the geographic impact of Kun Lu'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 Kun Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Lu more than expected).
Fields of papers citing papers by Kun Lu
This network shows the impact of papers produced by Kun Lu. 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 Kun Lu. The network helps show where Kun Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Lu, 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 179 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 216 | |
| 2 | 2011 | 208 | |
| 3 | 2011 | 192 | |
| 4 | 2015 | 154 | |
| 5 | 2009 | 114 | |
| 6 | 2015 | 112 | |
| 7 | 2008 | 102 | |
| 8 | 2005 | 100 | |
| 9 | 2012 | 94 | |
| 10 | 2018 | 87 | |
| 11 | 2013 | 83 | |
| 12 | 2013 | 83 | |
| 13 | 2013 | 82 | |
| 14 | 2012 | 81 | |
| 15 | 2022 | 76 | |
| 16 | 2018 | 75 | |
| 17 | 2016 | 75 | |
| 18 | 2017 | 74 | |
| 19 | 2017 | 70 | |
| 20 | 2017 | 66 |
About Kun Lu
Kun Lu is a scholar working on Molecular Biology, Plant Science, Biochemistry, Genetics and Biotechnology, having authored 179 papers that have together received 4.7k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (41 papers), Photosynthetic Processes and Mechanisms (40 papers), Plant Gene Expression Analysis (33 papers), Nitrogen and Sulfur Effects on Brassica (27 papers), Plant nutrient uptake and metabolism (23 papers), Plant Stress Responses and Tolerance (21 papers), Lipid metabolism and biosynthesis (20 papers) and Plant biochemistry and biosynthesis (17 papers). The work is most often cited by research in Virology (362 citations), Plant Science (2.5k citations), Biochemistry (417 citations), Molecular Biology (2.8k citations) and Biochemistry (110 citations). Kun Lu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jiana Li, Cunmin Qu, Michael F. Summers, Xiao Heng, Liezhao Liu, Xinfu Xu, Hongju Jian, Lijuan Wei, Hai Du and Ying Liang. Their work appears in journals such as Frontiers in Plant Science, International Journal of Molecular Sciences, Genes, PLoS ONE and Plants.
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.