Jianbo He

2.5k total citations
80 papers, 1.6k citations indexed

About

Jianbo He is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Jianbo He has authored 80 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Plant Science, 28 papers in Genetics and 22 papers in Molecular Biology. Recurrent topics in Jianbo He's work include Soybean genetics and cultivation (40 papers), Genetic Mapping and Diversity in Plants and Animals (26 papers) and Plant pathogens and resistance mechanisms (26 papers). Jianbo He is often cited by papers focused on Soybean genetics and cultivation (40 papers), Genetic Mapping and Diversity in Plants and Animals (26 papers) and Plant pathogens and resistance mechanisms (26 papers). Jianbo He collaborates with scholars based in China, United States and India. Jianbo He's co-authors include Junyi Gai, Tuanjie Zhao, Guangnan Xing, Yan Li, Helena R. Chang, Rongzhan Guan, Dejun Shen, Yufeng Wang, Shouping Yang and Long Miao and has published in prestigious journals such as Molecular Cell, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Jianbo He

75 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianbo He China 23 891 587 269 125 109 80 1.6k
Ting Shi China 22 342 0.4× 953 1.6× 88 0.3× 34 0.3× 173 1.6× 74 1.7k
Xin Yi China 23 545 0.6× 567 1.0× 235 0.9× 182 1.5× 16 0.1× 109 1.6k
Chunyuan Jin United States 17 230 0.3× 1.6k 2.7× 177 0.7× 78 0.6× 25 0.2× 35 1.8k
Ying Liang China 23 681 0.8× 997 1.7× 107 0.4× 23 0.2× 19 0.2× 70 1.5k
Lingling Yin China 16 779 0.9× 441 0.8× 29 0.1× 43 0.3× 18 0.2× 35 1.3k
E. Deslandes France 22 206 0.2× 512 0.9× 43 0.2× 124 1.0× 29 0.3× 42 1.3k
Masatoshi Yamamoto Japan 24 528 0.6× 908 1.5× 480 1.8× 53 0.4× 6 0.1× 124 2.1k

Countries citing papers authored by Jianbo He

Since Specialization
Citations

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

Fields of papers citing papers by Jianbo He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianbo He

This figure shows the co-authorship network connecting the top 25 collaborators of Jianbo He. A scholar is included among the top collaborators of Jianbo He 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 Jianbo He. Jianbo He 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.
Liu, Cheng, Liang Qin, Wei Luo, et al.. (2025). A wild-allele GsPP2C-51-a1 enhances tolerance to drought stress in soybean and Arabidopsis. Theoretical and Applied Genetics. 138(3). 51–51.
2.
Wang, Yu, Shuqin Han, Meiying Zheng, et al.. (2025). GWAS on HTP‐enabled dynamic traits unravels novel genetic architecture of salt tolerance in soybean. The Plant Journal. 122(4). e70177–e70177. 1 indexed citations
3.
He, Jianbo, Hong Chen, Kaiming Duan, et al.. (2025). Gene signatures associated with exosomes as diagnostic markers of postpartum depression and their role in immune infiltration. Frontiers in Endocrinology. 16. 1542327–1542327.
4.
Guo, Wenbing, Xiang Huang, Xiaojun Ma, et al.. (2025). Single-molecule m6A detection empowered by endogenous labeling unveils complexities across RNA isoforms. Molecular Cell. 85(6). 1233–1246.e7. 5 indexed citations
5.
Wang, Lei, Wubin Wang, Guangnan Xing, et al.. (2021). Identification of the QTL-allele System Underlying Two High-Throughput Physiological Traits in the Chinese Soybean Germplasm Population. Frontiers in Genetics. 12. 600444–600444. 8 indexed citations
6.
Yang, Mao, Jianbo He, Weiyan Li, et al.. (2021). Fine mapping of the BnaC04.BIL1 gene controlling plant height in Brassica napus L. BMC Plant Biology. 21(1). 359–359. 22 indexed citations
7.
Guo, Qiang, et al.. (2020). Oleanolic acid alleviates oxidative stress in Alzheimer’s disease by regulating stanniocalcin‐1 and uncoupling protein‐2 signalling. Clinical and Experimental Pharmacology and Physiology. 47(7). 1263–1271. 22 indexed citations
8.
He, Jianbo, et al.. (2020). Bi-Phenotypic Trait May Be Conferred by Multiple Alleles in a Germplasm Population. Frontiers in Genetics. 11. 559–559. 5 indexed citations
10.
Wang, Wubin, Bin Zhou, Jianbo He, et al.. (2020). Comprehensive Identification of Drought Tolerance QTL-Allele and Candidate Gene Systems in Chinese Cultivated Soybean Population. International Journal of Molecular Sciences. 21(14). 4830–4830. 14 indexed citations
11.
He, Jianbo & Junyi Gai. (2020). QTL-allele matrix detected from RTM-GWAS is a powerful tool for studies in genetics, evolution, and breeding by design of crops. Journal of Integrative Agriculture. 19(5). 1407–1410. 5 indexed citations
12.
Li, Meng, Ling‐Ling Chen, Jian Zeng, et al.. (2020). Identification of Additive–Epistatic QTLs Conferring Seed Traits in Soybean Using Recombinant Inbred Lines. Frontiers in Plant Science. 11. 566056–566056. 15 indexed citations
13.
He, Jianbo, Guangnan Xing, Wubin Wang, et al.. (2018). Characterization and Analytical Programs of the Restricted Two-stage Multi- locus Genome-wide Association Analysis. ACTA AGRONOMICA SINICA. 44(9). 1274–1289. 2 indexed citations
14.
Guo, Qiang, et al.. (2018). MiR-590-5p alleviates intracerebral hemorrhage-induced brain injury through targeting Peli1 gene expression. Biochemical and Biophysical Research Communications. 504(1). 61–67. 19 indexed citations
15.
Li, Shuguang, Yongce Cao, Jianbo He, Tuanjie Zhao, & Junyi Gai. (2017). Detecting the QTL-allele system conferring flowering date in a nested association mapping population of soybean using a novel procedure. Theoretical and Applied Genetics. 130(11). 2297–2314. 51 indexed citations
16.
He, Jianbo, Shan Meng, Tuanjie Zhao, et al.. (2017). An innovative procedure of genome-wide association analysis fits studies on germplasm population and plant breeding. Theoretical and Applied Genetics. 130(11). 2327–2343. 90 indexed citations
17.
Chen, Hao, Yunyu Wu, Jianbo He, et al.. (2016). Population structure analysis and association mapping of bacterial blight resistance in indica rice (Oryza sativa L.) accessions. Plant Growth Regulation. 82(1). 21–35. 1 indexed citations
18.
He, Jianbo, et al.. (2010). Analysis of Loci and Alleles Associated with Hybrid Yield in Soybean. ACTA AGRONOMICA SINICA. 37(1). 48–57. 2 indexed citations
19.
Shen, Dejun, Yahya Elshimali, Jianbo He, et al.. (2006). Decreased expression of annexin A1 is correlated with breast cancer development and progression as determined by a tissue microarray analysis. Human Pathology. 37(12). 1583–1591. 102 indexed citations
20.
Shen, Dejun, Helena R. Chang, Zugen Chen, et al.. (2004). Loss of annexin A1 expression in human breast cancer detected by multiple high-throughput analyses. Biochemical and Biophysical Research Communications. 326(1). 218–227. 66 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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