Shaolin Lei
Impact in
- Plant Science top 10%
- Plant Molecular Biology Research
- Plant Disease Resistance and Genetics
- Chromosomal and Genetic Variations
- Plant pathogens and resistance mechanisms
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- Plant Reproductive Biology
- Photosynthetic Processes and Mechanisms
- Plant biochemistry and biosynthesis
- Nitrogen and Sulfur Effects on Brassica
Papers in
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- Photosynthetic Processes and Mechanisms 6
- Plant Reproductive Biology 4
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- Plant Molecular Biology Research 4
- Plant Disease Resistance and Genetics 2
- Plant Stress Responses and Tolerance 1
- Plant Pathogens and Resistance 1
- Plant nutrient uptake and metabolism 1
- Co-authors
- Bin Yi (4 shared papers)Tingdong Fu (4 shared papers)Yuning Chen (2 shared papers)Jinxing Tu (1 shared paper)Jinxing Tu (3 shared papers)Chaozhi Ma (3 shared papers)Jing Wen (2 shared papers)Fangqin Zeng (2 shared papers)
- Journals
- Theoretical and Applied Genetics (2 papers)Breeding Science (1 paper)BMC Plant Biology (1 paper)Frontiers in Plant Science (1 paper)Plant Cell Reports (1 paper)
- Partner nations
- China
In The Last Decade
Shaolin Lei
9 papers receiving 326 citations
Peers
Comparison fields: 5 of 21
- Plant Science 256
- Molecular Biology 260
- Horticulture 3
- Biochemistry 19
- Endocrinology 10
Countries citing papers authored by Shaolin Lei
This map shows the geographic impact of Shaolin Lei'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 Shaolin Lei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaolin Lei more than expected).
Fields of papers citing papers by Shaolin Lei
This network shows the impact of papers produced by Shaolin Lei. 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 Shaolin Lei. The network helps show where Shaolin Lei may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaolin Lei, 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 | 2010 | 124 | |
| 2 | 2006 | 100 | |
| 3 | 2018 | 48 | |
| 4 | 2007 | 32 | |
| 5 | 2009 | 19 | |
| 6 | 2023 | 4 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 1 |
About Shaolin Lei
Shaolin Lei is a scholar working on Molecular Biology, Plant Science, Genetics, Infectious Diseases and Organic Chemistry, having authored 9 papers that have together received 335 indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (6 papers), Plant Reproductive Biology (4 papers), Plant Molecular Biology Research (4 papers), Plant Disease Resistance and Genetics (2 papers), Plant Stress Responses and Tolerance (1 paper), Plant Pathogens and Resistance (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper) and Plant nutrient uptake and metabolism (1 paper). The work is most often cited by research in Plant Science (256 citations), Molecular Biology (260 citations), Horticulture (3 citations), Biochemistry (19 citations) and Endocrinology (10 citations). Shaolin Lei has collaborated with scholars based in China. Frequent co-authors include Bin Yi, Tingdong Fu, Yuning Chen, Jinxing Tu, Jinxing Tu, Chaozhi Ma, Jing Wen, Fangqin Zeng, Jinxiong Shen and Wei Chen. Their work appears in journals such as Theoretical and Applied Genetics, Breeding Science, BMC Plant Biology, Frontiers in Plant Science and Plant Cell 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.