Qingnan Hao

1.3k total citations
30 papers, 824 citations indexed

About

Qingnan Hao is a scholar working on Plant Science, Molecular Biology and Insect Science. According to data from OpenAlex, Qingnan Hao has authored 30 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Plant Science, 11 papers in Molecular Biology and 4 papers in Insect Science. Recurrent topics in Qingnan Hao's work include Plant nutrient uptake and metabolism (13 papers), Legume Nitrogen Fixing Symbiosis (12 papers) and Soybean genetics and cultivation (8 papers). Qingnan Hao is often cited by papers focused on Plant nutrient uptake and metabolism (13 papers), Legume Nitrogen Fixing Symbiosis (12 papers) and Soybean genetics and cultivation (8 papers). Qingnan Hao collaborates with scholars based in China, Vietnam and Japan. Qingnan Hao's co-authors include Zhihui Shan, Haifeng Chen, Chanjuan Zhang, Songli Yuan, Limiao Chen, Zhonglu Yang, Dezhen Qiu, Shuilian Chen, Xiaojuan Zhang and Xinan Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Qingnan Hao

27 papers receiving 812 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingnan Hao China 15 718 405 55 28 28 30 824
Xiaoli Geng China 17 630 0.9× 273 0.7× 58 1.1× 55 2.0× 19 0.7× 43 769
Xianguo Cheng China 13 1.1k 1.5× 630 1.6× 36 0.7× 30 1.1× 10 0.4× 25 1.2k
Weijun Zheng China 17 731 1.0× 442 1.1× 36 0.7× 62 2.2× 11 0.4× 34 811
Dezhen Qiu China 14 634 0.9× 342 0.8× 62 1.1× 25 0.9× 25 0.9× 24 731
Aili Liu China 13 649 0.9× 314 0.8× 37 0.7× 41 1.5× 22 0.8× 20 736
Songli Yuan China 19 967 1.3× 405 1.0× 163 3.0× 26 0.9× 28 1.0× 38 1.1k
Iwona Żur Poland 18 724 1.0× 519 1.3× 66 1.2× 17 0.6× 8 0.3× 58 827
Kyouko Yoshiwara Japan 7 938 1.3× 558 1.4× 29 0.5× 73 2.6× 21 0.8× 7 1.0k
Liyun Wan China 17 967 1.3× 420 1.0× 25 0.5× 56 2.0× 7 0.3× 29 1.1k
Migiwa Takeda Japan 5 632 0.9× 383 0.9× 16 0.3× 35 1.3× 18 0.6× 7 765

Countries citing papers authored by Qingnan Hao

Since Specialization
Citations

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

Fields of papers citing papers by Qingnan Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingnan Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Qingnan Hao. A scholar is included among the top collaborators of Qingnan Hao 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 Qingnan Hao. Qingnan Hao 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.
Lu, Zhijie, Chao Li, Kaidong Deng, et al.. (2025). Temporal proteomic profiling via 4D-DIA reveals early defense mechanisms and core resistance determinants in soybean against Phakopsora pachyrhizi. Stress Biology. 5(1). 63–63. 1 indexed citations
2.
Lu, Zihua, Kaidong Deng, Zhihui Shan, et al.. (2025). COP9 Signalosome’s Role in Plant Defense Mechanisms. Plants. 14(19). 3017–3017.
3.
Cao, Dong, Songli Yuan, Qingnan Hao, et al.. (2025). Harnessing the MYB51/SWEET20 module to increase soybean yield by facilitating sugar supply to sink organs. Plant Cell Reports. 44(7). 151–151.
4.
Deng, Kaidong, Zhijie Lu, Hongli Yang, et al.. (2025). Efficient Virus-Induced Gene Silencing (VIGS) Method for Discovery of Resistance Genes in Soybean. Plants. 14(10). 1547–1547.
5.
Yuan, Songli, Yong Feng, Hui Zhang, et al.. (2024). Comparative genomic and transcriptomic analyses provide new insight into symbiotic host specificity. iScience. 27(7). 110207–110207. 2 indexed citations
6.
Hao, Qingnan, Hongli Yang, Shuilian Chen, et al.. (2023). RNA-Seq and Comparative Transcriptomic Analyses of Asian Soybean Rust Resistant and Susceptible Soybean Genotypes Provide Insights into Identifying Disease Resistance Genes. International Journal of Molecular Sciences. 24(17). 13450–13450. 5 indexed citations
7.
Zhang, Yongxing, Wei Guo, Dong Cao, et al.. (2023). Heterologous expression of the Glycine soja Kunitz-type protease inhibitor GsKTI improves resistance to drought stress and Helicoverpa armigera in transgenic Arabidopsis lines. Plant Physiology and Biochemistry. 202. 107915–107915. 2 indexed citations
8.
Han, Qin, Yu Liu, Xuehai Zhang, et al.. (2022). Melatonin Attenuates the Urea-Induced Yields Improvement Through Remodeling Transcriptome and Rhizosphere Microbial Community Structure in Soybean. Frontiers in Microbiology. 13. 903467–903467. 9 indexed citations
9.
Yuan, Songli, Danxia Ke, Rong Li, et al.. (2020). Genome-wide survey of soybean papain-like cysteine proteases and their expression analysis in root nodule symbiosis. BMC Plant Biology. 20(1). 517–517. 11 indexed citations
10.
Li, Rong, Yong Feng, Haifeng Chen, et al.. (2020). Whole-Genome Sequencing of Bradyrhizobium diazoefficiens 113-2 and Comparative Genomic Analysis Provide Molecular Insights Into Species Specificity and Host Specificity. Frontiers in Microbiology. 11. 576800–576800. 12 indexed citations
11.
12.
Bao, Aili, Haifeng Chen, Limiao Chen, et al.. (2019). CRISPR/Cas9-mediated targeted mutagenesis of GmSPL9 genes alters plant architecture in soybean. BMC Plant Biology. 19(1). 131–131. 124 indexed citations
13.
Chen, Limiao, Yisheng Fang, Xiangyong Li, et al.. (2019). Identification of soybean drought-tolerant genotypes and loci correlated with agronomic traits contributes new candidate genes for breeding. Plant Molecular Biology. 102(1-2). 109–122. 18 indexed citations
14.
Chen, Limiao, Yisheng Fang, Chanjuan Zhang, et al.. (2019). GmSYP24, a putative syntaxin gene, confers osmotic/drought, salt stress tolerances and ABA signal pathway. Scientific Reports. 9(1). 5990–5990. 15 indexed citations
15.
Yuan, Songli, Xiangyong Li, Rong Li, et al.. (2018). Genome-Wide Identification and Classification of Soybean C2H2 Zinc Finger Proteins and Their Expression Analysis in Legume-Rhizobium Symbiosis. Frontiers in Microbiology. 9. 126–126. 50 indexed citations
16.
Yuan, Songli, Rong Li, Shuilian Chen, et al.. (2016). RNA-Seq Analysis of Differential Gene Expression Responding to Different Rhizobium Strains in Soybean (Glycine max) Roots. Frontiers in Plant Science. 7. 721–721. 41 indexed citations
17.
Yuan, Songli, Rong Li, Lei Wang, et al.. (2016). Search for Nodulation and Nodule Development-Related Cystatin Genes in the Genome of Soybean (Glycine max). Frontiers in Plant Science. 7. 1595–1595. 12 indexed citations
18.
Zhang, Chanjuan, Yuqing Hou, Qingnan Hao, et al.. (2015). Genome-Wide Survey of the Soybean GATA Transcription Factor Gene Family and Expression Analysis under Low Nitrogen Stress. PLoS ONE. 10(4). e0125174–e0125174. 86 indexed citations
19.
Chen, Haifeng, Qingnan Hao, Aihua Sha, et al.. (2012). Transcript Profile of the Response of Two Soybean Genotypes to Potassium Deficiency. PLoS ONE. 7(7). e39856–e39856. 39 indexed citations
20.

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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