Beibei Lv
Impact in
- Toxicology top 10%
- Bioactive Compounds and Antitumor Agents
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- CRISPR and Genetic Engineering 4
- Plant biochemistry and biosynthesis 3
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- Botany and Plant Ecology Studies 2
- Co-authors
- Jie Xing (3 shared papers)Lan Xiang (1 shared paper)Guo‐Hao Zhang (2 shared papers)Ran‐Ran Ma (2 shared papers)Peng Gao (2 shared papers)Hong‐Xiang Lou (5 shared papers)Duan‐Bo Shi (1 shared paper)Hui Zhang (1 shared paper)
In The Last Decade
Beibei Lv
29 papers receiving 352 citations
Peers
Comparison fields: 5 of 70
- Toxicology 28
- Cancer Research 65
- Molecular Biology 179
- Complementary and alternative medicine 17
- Ecology, Evolution, Behavior and Systematics 36
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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 61 | |
| 2 | 2008 | 38 | |
| 3 | 2018 | 30 | |
| 4 | 2007 | 24 | |
| 5 | 2009 | 24 | |
| 6 | 2020 | 23 | |
| 7 | 2020 | 20 | |
| 8 | 2019 | 16 | |
| 9 | 2016 | 16 | |
| 10 | 2016 | 14 | |
| 11 | 2023 | 12 | |
| 12 | 2022 | 12 | |
| 13 | 2023 | 12 | |
| 14 | 2022 | 11 | |
| 15 | 2009 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2009 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2022 | 4 |
About Beibei Lv
Beibei Lv is a scholar working on Molecular Biology, Plant Science, Ecology, Evolution, Behavior and Systematics, Insect Science and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 361 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Lichen and fungal ecology (3 papers), Bryophyte Studies and Records (3 papers), Plant biochemistry and biosynthesis (3 papers), Insect-Plant Interactions and Control (3 papers), Botany and Plant Ecology Studies (2 papers), Biosensors and Analytical Detection (2 papers) and Thyroid Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Toxicology (28 citations), Cancer Research (65 citations), Molecular Biology (179 citations), Complementary and alternative medicine (17 citations) and Ecology, Evolution, Behavior and Systematics (36 citations). Beibei Lv has collaborated with scholars based in China and Pakistan. Frequent co-authors include Jie Xing, Lan Xiang, Guo‐Hao Zhang, Ran‐Ran Ma, Peng Gao, Hong‐Xiang Lou, Duan‐Bo Shi, Hui Zhang, Xiangyu Guo and Haiting Liu. Their work appears in journals such as Frontiers in Plant Science, Plants, Rapid Communications in Mass Spectrometry, Chinese Journal of Natural Medicines and Foods.
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.