Liu Bi
Impact in
- Plant Science top 10%
- Plant Molecular Biology Research
- Chromosomal and Genetic Variations
- Plant nutrient uptake and metabolism
- Plant Stress Responses and Tolerance
Papers in
-
- DNA Repair Mechanisms 2
- CRISPR and Genetic Engineering 2
- Co-authors
- Bin Yu (2 shared papers)Xuemei Chen (2 shared papers)Manu Agarwal (2 shared papers)Thierry Lagrange (1 shared paper)Lijuan Ji (1 shared paper)Binglian Zheng (1 shared paper)Vanitharani Ramachandran (1 shared paper)John C. Walker (1 shared paper)
- Journals
- Bone (1 paper)Genetics (1 paper)Journal of Medicinal Chemistry (1 paper)Nucleic Acids Research (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Liu Bi
14 papers receiving 381 citations
Peers
Comparison fields: 5 of 58
- Plant Science 249
- Cancer Research 57
- Molecular Biology 253
- Horticulture 2
- Geriatrics and Gerontology 5
Countries citing papers authored by Liu Bi
This map shows the geographic impact of Liu Bi'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 Liu Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liu Bi more than expected).
Fields of papers citing papers by Liu Bi
This network shows the impact of papers produced by Liu Bi. 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 Liu Bi. The network helps show where Liu Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Liu Bi, 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 | 2008 | 227 | |
| 2 | 2010 | 56 | |
| 3 | 2000 | 39 | |
| 4 | 2016 | 16 | |
| 5 | 2017 | 11 | |
| 6 | 2007 | 10 | |
| 7 | 2020 | 8 | |
| 8 | 2012 | 7 | |
| 9 | 2020 | 5 | |
| 10 | ISOLATION OF MICROSATELLITE LOCI FROM dbEST OF ALGAE PORPHYRA YEZOENSIS AND PRIMER AMPLIFICATION OF INTERSPECIES TRANSFER | 2005 | 4 |
| 11 | Research on fast automatic stitching algorithm of massive UAV remote sensing images | 2015 | 1 |
| 12 | 2024 | 1 | |
| 13 | Positioning and precision validation of Chang'E-3 Lander based on multiple LRO NAC images | 2015 | 1 |
| 14 | THE CROSS-SPECIES AMPLIFICATION AND VALIDATION OF EST-SSR LOCI IN PORPHYRA HAITANENSIS | 2007 | 1 |
| 15 | 2025 | 0 |
About Liu Bi
Liu Bi is a scholar working on Molecular Biology, Aerospace Engineering, Oceanography, Plant Science and Astronomy and Astrophysics, having authored 15 papers that have together received 387 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (2 papers), Plant Stress Responses and Tolerance (2 papers), Marine and coastal plant biology (2 papers), Plant Molecular Biology Research (2 papers), CRISPR and Genetic Engineering (2 papers), Ferroptosis and cancer prognosis (1 paper), Lichen and fungal ecology (1 paper) and Plant nutrient uptake and metabolism (1 paper). The work is most often cited by research in Plant Science (249 citations), Cancer Research (57 citations), Molecular Biology (253 citations), Horticulture (2 citations) and Geriatrics and Gerontology (5 citations). Liu Bi has collaborated with scholars based in United States, China and India. Frequent co-authors include Bin Yu, Xuemei Chen, Manu Agarwal, Thierry Lagrange, Lijuan Ji, Binglian Zheng, Vanitharani Ramachandran, John C. Walker, David Chevalier and Wanxiang Li. Their work appears in journals such as Bone, Genetics, Journal of Medicinal Chemistry, Nucleic Acids Research and Proceedings of the National Academy of Sciences.
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.