Suhong Bu

575 total citations
30 papers, 389 citations indexed

About

Suhong Bu is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Suhong Bu has authored 30 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Plant Science, 25 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Suhong Bu's work include Genetic Mapping and Diversity in Plants and Animals (25 papers), Rice Cultivation and Yield Improvement (17 papers) and GABA and Rice Research (9 papers). Suhong Bu is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (25 papers), Rice Cultivation and Yield Improvement (17 papers) and GABA and Rice Research (9 papers). Suhong Bu collaborates with scholars based in China, United States and United Kingdom. Suhong Bu's co-authors include Weiren Wu, Guifu Liu, Haitao Zhu, Shaokui Wang, Zupei Liu, Guiquan Zhang, Yuan‐Ming Zhang, Weifeng Yang, Weiqi Tang and Likun Huang and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Suhong Bu

27 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suhong Bu China	14	366	213	66	17	9	30	389
Degui Zhou China	9	229 0.6×	70 0.3×	116 1.8×	13 0.8×	10 1.1×	19	263
Huabing Deng China	11	358 1.0×	130 0.6×	143 2.2×	7 0.4×	14 1.6×	33	413
Tengqiong Yu China	11	265 0.7×	154 0.7×	59 0.9×	20 1.2×	4 0.4×	23	302
Yanyan Tang China	13	502 1.4×	175 0.8×	196 3.0×	11 0.6×	36 4.0×	27	541
Kyung-Ho Kang South Korea	7	251 0.7×	150 0.7×	43 0.7×	11 0.6×	4 0.4×	35	278
Xiaoxing Zhang China	9	372 1.0×	100 0.5×	127 1.9×	12 0.7×	15 1.7×	11	396
Zejun Hu China	7	396 1.1×	248 1.2×	102 1.5×	34 2.0×	8 0.9×	15	417
Vishnu Varthini Nachimuthu India	7	333 0.9×	184 0.9×	29 0.4×	14 0.8×	9 1.0×	11	354
Kimberly S. Ponce China	9	364 1.0×	156 0.7×	34 0.5×	60 3.5×	16 1.8×	10	382

Countries citing papers authored by Suhong Bu

Since Specialization

Citations

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

Fields of papers citing papers by Suhong Bu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suhong Bu

This figure shows the co-authorship network connecting the top 25 collaborators of Suhong Bu. A scholar is included among the top collaborators of Suhong Bu 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 Suhong Bu. Suhong Bu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wang, Bao‐Teng, Taihua Li, Suhong Bu, et al.. (2025). Successional patterns of microbial communities across various stages of leaf litter decomposition in poplar plantations. Frontiers in Microbiology. 16. 1628355–1628355.

Liu, Yuanyuan, Guodong Chen, Leyi Chen, et al.. (2024). Epistatic interaction has the reverse effects with its constitutive quantitative trait loci. Scientific Reports. 14(1). 18169–18169.

Shao, Lin, Weifeng Yang, Xin Luan, et al.. (2024). Four QTLs control stigma exsertion rate by changing stigma size in rice. Molecular Breeding. 44(9). 59–59. 1 indexed citations

Chen, Guodong, Leyi Chen, Suhong Bu, et al.. (2024). QTL epistasis plays a role of homeostasis on heading date in rice. Scientific Reports. 14(1). 373–373. 4 indexed citations

Chen, Guodong, Weifeng Yang, Jiao Zhao, et al.. (2023). Grain shape is a factor affecting the stigma exsertion rate in rice. Frontiers in Plant Science. 14. 1087285–1087285. 6 indexed citations

Fu, Yu, Yuan‐Ming Zhang, Weifeng Yang, et al.. (2023). GS6.1 controls kernel size and plant architecture in rice. Planta. 258(2). 42–42.

Wang, Yijun, Yuan‐Ming Zhang, Hongyuan Zhao, et al.. (2023). qGLF5 from Oryza rufipogon Griff. improves kernel shape, plant architecture, and yield in rice. Theoretical and Applied Genetics. 136(11). 225–225. 1 indexed citations

Yang, Weifeng, Xin Luan, Haitao Zhu, et al.. (2022). Fine Mapping of Two Major Quantitative Trait Loci for Rice Chalkiness With High Temperature-Enhanced Additive Effects. Frontiers in Plant Science. 13. 957863–957863. 5 indexed citations

Bu, Suhong, Guodong Chen, Haitao Zhu, et al.. (2022). Reconstruction of the High Stigma Exsertion Rate Trait in Rice by Pyramiding Multiple QTLs. Frontiers in Plant Science. 13. 921700–921700. 15 indexed citations

10.

Ma, Shuaipeng, Fangping Li, Wei Xin, et al.. (2022). Natural variations in grain length 10 (GL10) regulate rice grain size. Journal of genetics and genomics. 49(5). 405–413. 47 indexed citations

11.

Fu, Yu, Haitao Zhu, Xin Luan, et al.. (2022). Dynamic analysis of QTLs on plant height with single segment substitution lines in rice. Scientific Reports. 12(1). 5465–5465. 6 indexed citations

12.

Xin, Wei, Xiaoling Wang, Shuaipeng Ma, et al.. (2021). GW10, a member of P450 subfamily regulates grain size and grain number in rice. Theoretical and Applied Genetics. 134(12). 3941–3950. 30 indexed citations

13.

Bu, Suhong, Weiren Wu, & Yuan‐Ming Zhang. (2021). A Multi-Locus Association Model Framework for Nested Association Mapping With Discriminating QTL Effects in Various Subpopulations. Frontiers in Genetics. 11. 590012–590012. 3 indexed citations

14.

Luan, Xin, Haiming Xu, Haitao Zhu, et al.. (2021). Functional mapping of tillering QTLs using the Wang–Lan–Ding model and a SSSL population. Molecular Genetics and Genomics. 296(6). 1279–1286. 3 indexed citations

15.

Yang, Weifeng, Xin Luan, Haitao Zhu, et al.. (2021). Substitution Mapping of Two Closely Linked QTLs on Chromosome 8 Controlling Grain Chalkiness in Rice. Rice. 14(1). 85–85. 20 indexed citations

16.

Yang, Weifeng, Xin Luan, Haitao Zhu, et al.. (2021). Fine mapping of two grain chalkiness QTLs sensitive to high temperature in rice. Rice. 14(1). 33–33. 41 indexed citations

17.

Bu, Suhong, et al.. (2019). Determination of absorption dose in chemical mutagenesis in plants. PLoS ONE. 14(1). e0210596–e0210596. 27 indexed citations

18.

Sun, Junling, Suhong Bu, Tao Tao, et al.. (2016). EcoTILLING revealed SNPs in GhSus genes that are associated with fiber- and seed-related traits in upland cotton. Scientific Reports. 6(1). 29250–29250. 13 indexed citations

19.

Wen, Jia, Guorong Wu, Dan Xiang, et al.. (2015). Genetic dissection of heterosis using epistatic association mapping in a partial NCII mating design. Scientific Reports. 5(1). 18376–18376. 14 indexed citations

20.

Zhang, Wenjie, Yuan Niu, Suhong Bu, et al.. (2014). Epistatic Association Mapping for Alkaline and Salinity Tolerance Traits in the Soybean Germination Stage. PLoS ONE. 9(1). e84750–e84750. 33 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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