Lusha Ji
Impact in
- Plant Science top 10%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Weed Control and Herbicide Applications
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- Transgenic Plants and Applications
Papers in
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- Plant Gene Expression Analysis 7
- Photosynthetic Processes and Mechanisms 4
- Plant biochemistry and biosynthesis 4
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- Plant Stress Responses and Tolerance 5
- Plant Molecular Biology Research 4
- Weed Control and Herbicide Applications 4
- Co-authors
- Chengchao Zheng (6 shared papers)Changai Wu (3 shared papers)Sandra L. Petersen (1 shared paper)Clifford D. Carpenter (1 shared paper)Yanjie Li (2 shared papers)Shangjing Guo (3 shared papers)Kang Lei (12 shared papers)Meifang Li (3 shared papers)
- Journals
- Agronomy (3 papers)Plants (2 papers)Plant Science (2 papers)Journal of Agricultural and Food Chemistry (2 papers)Planta (1 paper)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Lusha Ji
24 papers receiving 324 citations
Peers
Comparison fields: 5 of 78
- Plant Science 185
- Biotechnology 30
- Molecular Biology 185
- Behavioral Neuroscience 9
- Biochemistry 12
Countries citing papers authored by Lusha Ji
This map shows the geographic impact of Lusha Ji'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 Lusha Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lusha Ji more than expected).
Fields of papers citing papers by Lusha Ji
This network shows the impact of papers produced by Lusha Ji. 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 Lusha Ji. The network helps show where Lusha Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Lusha Ji, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 48 | |
| 2 | 2010 | 39 | |
| 3 | 2022 | 33 | |
| 4 | 2019 | 25 | |
| 5 | 2012 | 24 | |
| 6 | 2019 | 20 | |
| 7 | 2017 | 19 | |
| 8 | 2013 | 18 | |
| 9 | 2008 | 16 | |
| 10 | 2020 | 16 | |
| 11 | 2018 | 14 | |
| 12 | 2007 | 13 | |
| 13 | 2023 | 7 | |
| 14 | 2021 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2025 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2024 | 3 |
About Lusha Ji
Lusha Ji is a scholar working on Molecular Biology, Plant Science, Biotechnology, Cellular and Molecular Neuroscience and Pollution, having authored 24 papers that have together received 331 indexed citations. Recurring topics across this work include Plant Gene Expression Analysis (7 papers), Plant Stress Responses and Tolerance (5 papers), Plant Molecular Biology Research (4 papers), Weed Control and Herbicide Applications (4 papers), Photosynthetic Processes and Mechanisms (4 papers), Plant biochemistry and biosynthesis (4 papers), Pesticide and Herbicide Environmental Studies (3 papers) and Transgenic Plants and Applications (2 papers). The work is most often cited by research in Plant Science (185 citations), Biotechnology (30 citations), Molecular Biology (185 citations), Behavioral Neuroscience (9 citations) and Biochemistry (12 citations). Lusha Ji has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Chengchao Zheng, Changai Wu, Sandra L. Petersen, Clifford D. Carpenter, Yanjie Li, Shangjing Guo, Kang Lei, Meifang Li, Pan Li and Yaru Fu. Their work appears in journals such as Agronomy, Plants, Plant Science, Journal of Agricultural and Food Chemistry and Planta.
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.