Beibei Lv
Impact in
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- Fungal Biology and Applications
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- Mycorrhizal Fungi and Plant Interactions
- Plant-Microbe Interactions and Immunity
- Bamboo properties and applications
Papers in
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- Mycorrhizal Fungi and Plant Interactions 3
- Bamboo properties and applications 3
- GABA and Rice Research 2
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- Fungal Biology and Applications 7
- Co-authors
- Hailong Yu (4 shared papers)Qi Tan (4 shared papers)Shubo Li (5 shared papers)Xiaodong Shang (3 shared papers)Yuan Guo (3 shared papers)Guogan Wu (5 shared papers)Dapeng Bao (2 shared papers)Xiaofan Jin (1 shared paper)
- Journals
- Applied Physics Letters (2 papers)Food Bioscience (2 papers)Frontiers in Microbiology (2 papers)Biotechnology and Applied Biochemistry (2 papers)Environmental Pollution (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Beibei Lv
24 papers receiving 239 citations
Peers
Comparison fields: 5 of 52
- Pharmacology 77
- Plant Science 121
- Food Science 39
- Horticulture 2
- Cell Biology 27
Countries citing papers authored by Beibei Lv
This map shows the geographic impact of Beibei Lv'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 Beibei Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beibei Lv more than expected).
Fields of papers citing papers by Beibei Lv
This network shows the impact of papers produced by Beibei Lv. 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 Beibei Lv. The network helps show where Beibei Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Beibei Lv, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 29 | |
| 2 | 2021 | 24 | |
| 3 | 2021 | 23 | |
| 4 | 2022 | 20 | |
| 5 | 2015 | 18 | |
| 6 | 2023 | 15 | |
| 7 | 2016 | 14 | |
| 8 | 2020 | 14 | |
| 9 | 2024 | 14 | |
| 10 | 2024 | 13 | |
| 11 | 2024 | 12 | |
| 12 | 2021 | 8 | |
| 13 | 2022 | 6 | |
| 14 | 2024 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2024 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 2 |
About Beibei Lv
Beibei Lv is a scholar working on Plant Science, Pharmacology, Condensed Matter Physics, Electrical and Electronic Engineering and Molecular Biology, having authored 28 papers that have together received 240 indexed citations. Recurring topics across this work include GaN-based semiconductor devices and materials (7 papers), Fungal Biology and Applications (7 papers), Semiconductor materials and devices (4 papers), Plant Pathogens and Fungal Diseases (4 papers), Mycorrhizal Fungi and Plant Interactions (3 papers), Bamboo properties and applications (3 papers), GABA and Rice Research (2 papers) and Semiconductor Quantum Structures and Devices (2 papers). The work is most often cited by research in Pharmacology (77 citations), Plant Science (121 citations), Food Science (39 citations), Horticulture (2 citations) and Cell Biology (27 citations). Beibei Lv has collaborated with scholars based in China and United States. Frequent co-authors include Hailong Yu, Qi Tan, Shubo Li, Xiaodong Shang, Yuan Guo, Guogan Wu, Dapeng Bao, Xiaofan Jin, Yifan Chen and Hailin He. Their work appears in journals such as Applied Physics Letters, Food Bioscience, Frontiers in Microbiology, Biotechnology and Applied Biochemistry and Environmental Pollution.
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.