Beibei Bie
Impact in
- Horticulture top 2%
- Cocoa and Sweet Potato Agronomy
- Pharmacology top 10%
- Flavonoids in Medical Research
Papers in
-
- Postharvest Quality and Shelf Life Management 3
- Plant Physiology and Cultivation Studies 3
- Plant Molecular Biology Research 3
-
- Natural product bioactivities and synthesis 2
- Plant Reproductive Biology 2
- Co-authors
- Jin Sun (9 shared papers)Jun Yang (5 shared papers)Ying Guo (7 shared papers)Zongfang Li (5 shared papers)Chen Huang (3 shared papers)Junsong Pan (6 shared papers)Huanle He (5 shared papers)Wei Jiang (2 shared papers)
- Journals
- Biomedicine & Pharmacotherapy (2 papers)Molecular Breeding (2 papers)International Journal of Molecular Sciences (2 papers)HortScience (1 paper)Toxicology and Applied Pharmacology (1 paper)
- Partner nations
- China
In The Last Decade
Beibei Bie
17 papers receiving 672 citations
Peers
Comparison fields: 5 of 67
- Horticulture 81
- Pharmacology 147
- Cancer Research 119
- Plant Science 270
- Molecular Biology 342
Countries citing papers authored by Beibei Bie
This map shows the geographic impact of Beibei Bie'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 Bie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beibei Bie more than expected).
Fields of papers citing papers by Beibei Bie
This network shows the impact of papers produced by Beibei Bie. 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 Bie. The network helps show where Beibei Bie may publish in the future.
Co-authors
The 25 scholars most cited alongside Beibei Bie, 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 | 2017 | 142 | |
| 2 | 2014 | 81 | |
| 3 | 2015 | 75 | |
| 4 | 2017 | 63 | |
| 5 | 2018 | 61 | |
| 6 | 2015 | 60 | |
| 7 | 2014 | 44 | |
| 8 | 2022 | 21 | |
| 9 | 2019 | 21 | |
| 10 | 2013 | 21 | |
| 11 | 2013 | 21 | |
| 12 | 2021 | 16 | |
| 13 | 2018 | 15 | |
| 14 | 2014 | 14 | |
| 15 | 2011 | 11 | |
| 16 | 2018 | 11 | |
| 17 | 2025 | 1 | |
| 18 | 2026 | 0 | |
| 19 | 2018 | 0 |
About Beibei Bie
Beibei Bie is a scholar working on Plant Science, Molecular Biology, Pharmacology, Genetics and Cancer Research, having authored 19 papers that have together received 678 indexed citations. Recurring topics across this work include Flavonoids in Medical Research (5 papers), Cancer-related molecular mechanisms research (4 papers), Postharvest Quality and Shelf Life Management (3 papers), Plant Physiology and Cultivation Studies (3 papers), Advances in Cucurbitaceae Research (3 papers), Plant Molecular Biology Research (3 papers), Natural product bioactivities and synthesis (2 papers) and Plant Reproductive Biology (2 papers). The work is most often cited by research in Horticulture (81 citations), Pharmacology (147 citations), Cancer Research (119 citations), Plant Science (270 citations) and Molecular Biology (342 citations). Beibei Bie has collaborated with scholars based in China. Frequent co-authors include Jin Sun, Jun Yang, Ying Guo, Zongfang Li, Chen Huang, Junsong Pan, Huanle He, Wei Jiang, Run Cai and Jun Li. Their work appears in journals such as Biomedicine & Pharmacotherapy, Molecular Breeding, International Journal of Molecular Sciences, HortScience and Toxicology and Applied Pharmacology.
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.