Bei Wu

846 total citations
42 papers, 573 citations indexed

About

Bei Wu is a scholar working on Plant Science, Molecular Biology and Inorganic Chemistry. According to data from OpenAlex, Bei Wu has authored 42 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 14 papers in Molecular Biology and 10 papers in Inorganic Chemistry. Recurrent topics in Bei Wu's work include Peanut Plant Research Studies (13 papers), Coconut Research and Applications (10 papers) and Plant Physiology and Cultivation Studies (8 papers). Bei Wu is often cited by papers focused on Peanut Plant Research Studies (13 papers), Coconut Research and Applications (10 papers) and Plant Physiology and Cultivation Studies (8 papers). Bei Wu collaborates with scholars based in China, India and Italy. Bei Wu's co-authors include Huifang Jiang, Xiaojing Zhou, Li Huang, Yong Lei, Boshou Liao, Huaiyong Luo, Yuning Chen, Rajeev K. Varshney, Manish K. Pandey and Nian Liu and has published in prestigious journals such as PLoS ONE, Scientific Reports and The Plant Journal.

In The Last Decade

Bei Wu

39 papers receiving 567 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bei Wu China 14 417 184 138 38 33 42 573
Fengge Wang China 13 309 0.7× 120 0.7× 8 0.1× 182 4.8× 41 1.2× 51 560
Guanliang Li China 9 124 0.3× 99 0.5× 3 0.0× 12 0.3× 41 1.2× 23 297
Lisa Sara Mathew Qatar 9 181 0.4× 111 0.6× 6 0.0× 115 3.0× 17 0.5× 16 294
Tino Köster Germany 14 393 0.9× 803 4.4× 6 0.0× 17 0.4× 57 1.7× 26 968
Xuan Yi China 9 71 0.2× 231 1.3× 2 0.0× 52 1.4× 169 5.1× 17 499
Lei Ye China 9 270 0.6× 255 1.4× 3 0.0× 12 0.3× 63 1.9× 16 439
Thora W. Halstead United States 5 307 0.7× 114 0.6× 1 0.0× 19 0.5× 42 1.3× 14 548
Jongchan Woo United States 10 368 0.9× 346 1.9× 4 0.0× 12 0.3× 9 0.3× 19 618
Chris Thachuk Canada 10 79 0.2× 389 2.1× 2 0.0× 82 2.2× 54 1.6× 19 513
Jamie Waese Canada 9 316 0.8× 281 1.5× 3 0.0× 30 0.8× 5 0.2× 12 576

Countries citing papers authored by Bei Wu

Since Specialization
Citations

This map shows the geographic impact of Bei Wu'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 Bei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bei Wu more than expected).

Fields of papers citing papers by Bei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bei Wu. 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 Bei Wu. The network helps show where Bei Wu may publish in the future.

Co-authorship network of co-authors of Bei Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Bei Wu. A scholar is included among the top collaborators of Bei Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bei Wu. Bei Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Kuang, M.L., et al.. (2025). A refined YOLOv5n-based method for detecting pepper flower objects integrating transfer learning. Applied Soft Computing. 188. 114400–114400.
3.
Zhang, Zhongyan, Zhenyu Huang, Bei Wu, et al.. (2024). Epistasis between genetic variations on MdMYB109 and MdHXK1 exerts a large effect on sugar content in apple fruit. The Plant Journal. 121(1). e17187–e17187.
4.
Wu, Bei, Min Wang, Guoping He, et al.. (2024). Transcriptome and metabolome analyses provide crucial insights into the adaptation of chieh-qua to Fusarium oxysporum infection. Frontiers in Plant Science. 15. 1344155–1344155. 1 indexed citations
5.
Tian, Zhendong, Bei Wu, Jing Liu, et al.. (2024). Genetic variations in MdSAUR36 participate in the negative regulation of mesocarp cell division and fruit size in Malus species. Molecular Breeding. 44(1). 1–1. 4 indexed citations
6.
Zhang, Jie, Chao Qian, Jieting Chen, Bei Wu, & Hongsheng Chen. (2023). Uncertainty Qualification for Metasurface Design with Amendatory Bayesian Network. Laser & Photonics Review. 17(5). 13 indexed citations
7.
Wu, Bei, et al.. (2022). Invisible devices with natural materials designed by evolutionary optimization. Physical review. E. 106(5). 55312–55312. 1 indexed citations
8.
Shen, Fei, Luca Bianco, Bei Wu, et al.. (2022). A bulked segregant analysis tool for out-crossing species (BSATOS) and QTL-based genomics-assisted prediction of complex traits in apple. Journal of Advanced Research. 42. 149–162. 9 indexed citations
9.
Wu, Bei, Jing Liu, Xuan Wang, et al.. (2022). A single QTL harboring multiple genetic variations leads to complicated phenotypic segregation in apple flesh firmness and crispness. Plant Cell Reports. 41(12). 2379–2391. 4 indexed citations
10.
Liu, Nian, Li Huang, Weigang Chen, et al.. (2020). Dissection of the genetic basis of oil content in Chinese peanut cultivars through association mapping. BMC Genetics. 21(1). 60–60. 8 indexed citations
11.
Luo, Huaiyong, Manish K. Pandey, Zhi Ye, et al.. (2020). Discovery of two novel and adjacent QTLs on chromosome B02 controlling resistance against bacterial wilt in peanut variety Zhonghua 6. Theoretical and Applied Genetics. 133(4). 1133–1148. 13 indexed citations
12.
Liu, Jie-Xia, Bei Wu, Kai Feng, et al.. (2020). A celery transcriptional repressor AgERF8 negatively modulates abscisic acid and salt tolerance. Molecular Genetics and Genomics. 296(1). 179–192. 12 indexed citations
13.
Luo, Huaiyong, Manish K. Pandey, Aamir W. Khan, et al.. (2019). Next‐generation sequencing identified genomic region and diagnostic markers for resistance to bacterial wilt on chromosome B02 in peanut (Arachis hypogaea L.). Plant Biotechnology Journal. 17(12). 2356–2369. 48 indexed citations
14.
Liu, Nian, Jianbin Guo, Xiaojing Zhou, et al.. (2019). High-resolution mapping of a major and consensus quantitative trait locus for oil content to a ~ 0.8-Mb region on chromosome A08 in peanut (Arachis hypogaea L.). Theoretical and Applied Genetics. 133(1). 37–49. 39 indexed citations
15.
Luo, Huaiyong, Manish K. Pandey, Aamir W. Khan, et al.. (2018). Discovery of genomic regions and candidate genes controlling shelling percentage using QTL‐seq approach in cultivated peanut (Arachis hypogaea L.). Plant Biotechnology Journal. 17(7). 1248–1260. 58 indexed citations
16.
Wei, Li, Huan Wu, Li Yan, et al.. (2016). Rapid Analysis on Flavonoids in Glechoma longituba (Nakai) Kupr by UPLC-Q-TOF/MS Couple with Diagnostic Ions. 37(6). 504. 4 indexed citations
17.
Huang, Li, Bei Wu, Haitao Li, et al.. (2016). Characterization and Transferable Utility of Microsatellite Markers in the Wild and Cultivated Arachis Species. PLoS ONE. 11(5). e0156633–e0156633. 19 indexed citations
18.
Gong, Yubao, et al.. (2013). HMGB3 characterization in gastric cancer. Genetics and Molecular Research. 12(4). 6032–6039. 26 indexed citations
19.
20.
Wu, Bei, et al.. (2010). Over-expression of mango (Mangifera indica L.) MiARF2 inhibits root and hypocotyl growth of Arabidopsis. Molecular Biology Reports. 38(5). 3189–3194. 19 indexed citations

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.

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