Pu Lu
Impact in
- Plant Science top 5%
- Plant Stress Responses and Tolerance
- Research in Cotton Cultivation
- Plant Molecular Biology Research
- Plant Virus Research Studies
- Plant nutrient uptake and metabolism
- Plant responses to water stress
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- Photosynthetic Processes and Mechanisms
- Plant Gene Expression Analysis
Papers in ⓘ
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- Research in Cotton Cultivation 17
- Plant Molecular Biology Research 12
- Plant Stress Responses and Tolerance 10
- Plant Virus Research Studies 6
- Rice Cultivation and Yield Improvement 3
- Plant-Microbe Interactions and Immunity 2
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- Photosynthetic Processes and Mechanisms 3
- Co-authors
- Xiaoyan Cai (21 shared papers)Fang Liu (21 shared papers)Kunbo Wang (21 shared papers)Zhongli Zhou (19 shared papers)Richard Odongo Magwanga (19 shared papers)Joy Nyangasi Kirungu (19 shared papers)Xingxing Wang (15 shared papers)Zhenmei Zhang (4 shared papers)
In The Last Decade
Pu Lu
25 papers receiving 888 citations
Peers
Comparison fields: 5 of 66
- Plant Science 800
- Molecular Biology 391
- Endocrinology 25
- Horticulture 3
- Agronomy and Crop Science 22
Countries citing papers authored by Pu Lu
This map shows the geographic impact of Pu 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 Pu Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pu Lu more than expected).
Fields of papers citing papers by Pu Lu
This network shows the impact of papers produced by Pu 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 Pu Lu. The network helps show where Pu Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Pu 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 209 | |
| 2 | 2019 | 80 | |
| 3 | 2017 | 63 | |
| 4 | 2019 | 53 | |
| 5 | 2018 | 52 | |
| 6 | 2019 | 49 | |
| 7 | 2018 | 47 | |
| 8 | 2019 | 45 | |
| 9 | 2018 | 43 | |
| 10 | 2018 | 37 | |
| 11 | 2019 | 32 | |
| 12 | 2019 | 28 | |
| 13 | 2018 | 27 | |
| 14 | 2021 | 25 | |
| 15 | 2019 | 24 | |
| 16 | 2020 | 23 | |
| 17 | 2019 | 16 | |
| 18 | 2019 | 13 | |
| 19 | 2019 | 8 | |
| 20 | 2023 | 6 |
About Pu Lu
Pu Lu is a scholar working on Plant Science, Molecular Biology, Surgery, Genetics and Endocrinology, having authored 25 papers that have together received 892 indexed citations. Recurring topics across this work include Research in Cotton Cultivation (17 papers), Plant Molecular Biology Research (12 papers), Plant Stress Responses and Tolerance (10 papers), Plant Virus Research Studies (6 papers), Photosynthetic Processes and Mechanisms (3 papers), Rice Cultivation and Yield Improvement (3 papers), Plant-Microbe Interactions and Immunity (2 papers) and Plant and Fungal Interactions Research (2 papers). The work is most often cited by research in Plant Science (800 citations), Molecular Biology (391 citations), Endocrinology (25 citations), Horticulture (3 citations) and Agronomy and Crop Science (22 citations). Pu Lu has collaborated with scholars based in China, Kenya and Belgium. Frequent co-authors include Xiaoyan Cai, Fang Liu, Kunbo Wang, Zhongli Zhou, Richard Odongo Magwanga, Joy Nyangasi Kirungu, Xingxing Wang, Zhenmei Zhang, Yuqing Hou and Qi Dong. Their work appears in journals such as International Journal of Molecular Sciences, Genes, Frontiers in Plant Science, BMC Genetics and PLoS ONE.
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.