Kailiang Bo

1.2k total citations
31 papers, 830 citations indexed

About

Kailiang Bo is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Kailiang Bo has authored 31 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 21 papers in Genetics and 13 papers in Molecular Biology. Recurrent topics in Kailiang Bo's work include Advances in Cucurbitaceae Research (21 papers), Cocoa and Sweet Potato Agronomy (13 papers) and Plant Molecular Biology Research (13 papers). Kailiang Bo is often cited by papers focused on Advances in Cucurbitaceae Research (21 papers), Cocoa and Sweet Potato Agronomy (13 papers) and Plant Molecular Biology Research (13 papers). Kailiang Bo collaborates with scholars based in China, United States and Ethiopia. Kailiang Bo's co-authors include Yiqun Weng, H. Miao, Shengping Zhang, Xingfang Gu, Yupeng Pan, Shaoyun Dong, Jinfeng Chen, Zhihui Cheng, Jinfeng Chen and Zheng Ma and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and The Plant Journal.

In The Last Decade

Kailiang Bo

30 papers receiving 819 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kailiang Bo China 17 637 428 317 268 40 31 830
Shengping Zhang China 19 826 1.3× 565 1.3× 329 1.0× 339 1.3× 33 0.8× 61 1.1k
Jianjian Qi China 7 481 0.8× 250 0.6× 190 0.6× 85 0.3× 12 0.3× 9 563
Genoveva Rossel Peru 11 333 0.5× 101 0.2× 129 0.4× 132 0.5× 29 0.7× 14 485
Wojciech Pląder Poland 15 469 0.7× 273 0.6× 371 1.2× 143 0.5× 4 0.1× 46 654
Dal‐Hoe Koo United States 20 1.3k 2.1× 430 1.0× 623 2.0× 130 0.5× 15 0.4× 50 1.5k
Félix C. Serquén United States 8 431 0.7× 338 0.8× 84 0.3× 186 0.7× 8 0.2× 12 539
Ramón Dolcet-Sanjuan Spain 16 776 1.2× 365 0.9× 409 1.3× 125 0.5× 3 0.1× 47 869
W. C. Kennard United States 10 503 0.8× 264 0.6× 229 0.7× 93 0.3× 7 0.2× 10 580
Almudena Lázaro Spain 12 328 0.5× 199 0.5× 99 0.3× 57 0.2× 5 0.1× 27 422
Shiro Isshiki Japan 19 793 1.2× 178 0.4× 403 1.3× 60 0.2× 15 0.4× 63 939

Countries citing papers authored by Kailiang Bo

Since Specialization
Citations

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

Fields of papers citing papers by Kailiang Bo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kailiang Bo

This figure shows the co-authorship network connecting the top 25 collaborators of Kailiang Bo. A scholar is included among the top collaborators of Kailiang Bo 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 Kailiang Bo. Kailiang Bo 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.
Ren, Hong, Jiacai Chen, Kailiang Bo, et al.. (2025). The CsphyB–CsPIF4–CsBRC1 module regulates ABA biosynthesis and axillary bud outgrowth in cucumber. Journal of Integrative Plant Biology. 67(10). 2561–2577. 1 indexed citations
2.
Duan, Ying, Kailiang Bo, Qin Shu, et al.. (2025). Development of recombinant inbred lines and QTL analysis of plant height and fruit shape-related traits in Cucurbita pepo L.. Molecular Breeding. 45(9). 74–74.
3.
Duan, Ying, et al.. (2024). Map-based cloning reveals Cpgp gene encoding an APRR2 protein to regulate the green fruit peel formation in Cucurbita pepo. Molecular Breeding. 44(8). 53–53. 5 indexed citations
4.
Zhao, Jianyu, Kailiang Bo, Yupeng Pan, et al.. (2023). Phytochrome-interacting factor PIF3 integrates phytochrome B and UV-B signaling pathways to regulate gibberellin- and auxin-dependent growth in cucumber hypocotyls. Journal of Experimental Botany. 74(15). 4520–4539. 15 indexed citations
5.
Zhou, Xiaojun, et al.. (2023). Genome-Wide Identification and Characterization of the WRKY Gene Family in Cucurbita maxima. Genes. 14(11). 2030–2030. 2 indexed citations
6.
Bo, Kailiang, Ying Duan, Meng Zhang, et al.. (2022). Promoter variation in a homeobox gene, CpDll, is associated with deeply lobed leaf in Cucurbita pepo L.. Theoretical and Applied Genetics. 135(4). 1223–1234. 11 indexed citations
7.
Wang, Yuhui, Kailiang Bo, Xingfang Gu, et al.. (2020). Molecularly tagged genes and quantitative trait loci in cucumber with recommendations for QTL nomenclature. Horticulture Research. 7(1). 3–3. 82 indexed citations
8.
Bo, Kailiang, Weiping Wang, H. Miao, et al.. (2019). QTL mapping and genome-wide association study reveal two novel loci associated with green flesh color in cucumber. BMC Plant Biology. 19(1). 243–243. 33 indexed citations
9.
Dong, Shaoyun, et al.. (2019). Quantitative Trait Loci Mapping and Candidate Gene Analysis of Low Temperature Tolerance in Cucumber Seedlings. Frontiers in Plant Science. 10. 1620–1620. 19 indexed citations
10.
Wang, Weiping, Song Zhang, Qing Xie, et al.. (2018). Identification of QTLs controlling low‐temperature tolerance during the germination stage in cucumber (Cucumis sativus L.). Plant Breeding. 137(4). 629–637. 14 indexed citations
11.
Bo, Kailiang, H. Miao, Min Wang, et al.. (2018). Novel loci fsd6.1 and Csgl3 regulate ultra-high fruit spine density in cucumber. Theoretical and Applied Genetics. 132(1). 27–40. 19 indexed citations
12.
Yang, Yuhong, Qing Xie, H. Miao, et al.. (2018). Inheritance and QTL mapping of cucumber mosaic virus resistance in cucumber (Cucumis Sativus L.). PLoS ONE. 13(7). e0200571–e0200571. 29 indexed citations
13.
Xie, Qing, H. Miao, Kailiang Bo, et al.. (2018). Combined fine mapping, genetic diversity, and transcriptome profiling reveals that the auxin transporter gene ns plays an important role in cucumber fruit spine development. Theoretical and Applied Genetics. 131(6). 1239–1252. 37 indexed citations
14.
15.
Bo, Kailiang, Hui Wang, Yupeng Pan, et al.. (2016). SHORT HYPOCOTYL 1 Encodes a SMARCA3-like Chromatin Remodeling Factor Regulating Elongation. PLANT PHYSIOLOGY. 172(2). pp.00501.2016–pp.00501.2016. 25 indexed citations
16.
Pan, Yupeng, Kailiang Bo, Zhihui Cheng, & Yiqun Weng. (2015). The loss-of-function GLABROUS 3 mutation in cucumber is due to LTR-retrotransposon insertion in a class IV HD-ZIP transcription factor gene CsGL3 that is epistatic over CsGL1. BMC Plant Biology. 15(1). 302–302. 96 indexed citations
17.
Qian, Chuntao, et al.. (2014). Effect of polyamines, putrescine, spermidine and spermine on chlorophyll fluorescence parameters of cucumber seedlings under low temperature stress.. 27(5). 10–13. 1 indexed citations
18.
19.
Wan, Hongjian, Wei Yuan, Kailiang Bo, et al.. (2013). Genome-wide analysis of NBS-encoding disease resistance genes in Cucumis sativusand phylogenetic study of NBS-encoding genes in Cucurbitaceae crops. BMC Genomics. 14(1). 109–109. 85 indexed citations
20.
Bo, Kailiang, Longzheng Chen, Chuntao Qian, Shuxia Zhang, & Jinfeng Chen. (2010). Short-day Treatments Induce Flowering of Xishuangbanna Cucumber. 23(4). 1–3. 3 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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