Qing Hao

865 total citations
32 papers, 646 citations indexed

About

Qing Hao is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Qing Hao has authored 32 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 18 papers in Plant Science and 6 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Qing Hao's work include Plant Molecular Biology Research (13 papers), Plant Gene Expression Analysis (10 papers) and Plant Stress Responses and Tolerance (7 papers). Qing Hao is often cited by papers focused on Plant Molecular Biology Research (13 papers), Plant Gene Expression Analysis (10 papers) and Plant Stress Responses and Tolerance (7 papers). Qing Hao collaborates with scholars based in China, United States and Japan. Qing Hao's co-authors include Qingyan Shu, Zheng‐An Liu, Liang‐Sheng Wang, Xin Zhou, Jin Zhu, Cheng Wang, Rong Zhou, Zhaoyu Gu, Yao‐Wu Yuan and Zhijie Zhang and has published in prestigious journals such as Scientific Reports, Journal of Experimental Botany and Frontiers in Plant Science.

In The Last Decade

Qing Hao

30 papers receiving 628 citations

Peers

Qing Hao

BIOCH

EEBS

GENET

Jinglin Shen China

B. Pastuszewska Poland

Kenji Hosoda Japan

Anna Tuśnio Poland

S.S. Hou China

Eun-Gi Cho South Korea

Greg Tanner Australia

Anahit Mett Israel

J. Skomiał Poland

Jinglin Shen China

Qing Hao

185 ×0.5

183 ×0.5

24 ×0.3

BIOCH

17 ×0.3

EEBS

24 ×0.5

GENET

Citations per year, relative to Qing Hao Qing Hao (= 1×) peers Jinglin Shen

Countries citing papers authored by Qing Hao

Since Specialization

Citations

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

Fields of papers citing papers by Qing Hao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Hao. A scholar is included among the top collaborators of Qing 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 Qing Hao. Qing Hao 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

Hao, Qing, Mengzhuo Luo, Jun Cheng, & Kaibo Shi. (2025). Distributed fault-tolerant consensus for two-time-scale multiagent systems against multiple faults and random attacks via a generalized two-step transmission mechanism. Journal of the Franklin Institute. 362(6). 107640–107640.

Hao, Qing, Tongtong Li, Shuo Wang, et al.. (2024). Chlorophyllase (PsCLH1) and light-harvesting chlorophyll a/b binding protein 1 (PsLhcb1) and PsLhcb5 maintain petal greenness in Paeonia suffruticosa ‘Lv Mu Yin Yu’. Journal of Advanced Research. 73. 173–185. 5 indexed citations

Li, Lili, et al.. (2024). Integration analysis of miRNA-mRNA pairs between two contrasting genotypes reveals the molecular mechanism of jujube (Ziziphus jujuba Mill.) response to high-temperature stress. BMC Plant Biology. 24(1). 612–612. 3 indexed citations

Li, Lili, et al.. (2023). Genome-wide analysis of ALDH gene family in jujube and identification of ZjALDH3F3 for its important role in high-temperature tolerance. Plant Physiology and Biochemistry. 205. 108196–108196. 4 indexed citations

Li, Tongtong, et al.. (2023). A novel transcription factor PsMYBM enhances the biosynthesis of anthocyanins in response to light in tree peony. Industrial Crops and Products. 200. 116800–116800. 6 indexed citations

Guo, Xiao, et al.. (2023). Distinct Community Assembly Mechanisms of Different Growth Stages in a Warm Temperate Forest. Diversity. 15(4). 507–507.

Peng, Liping, Shangwei Wu, Qing Hao, et al.. (2023). Combined genome-wide association studies and expression quantitative trait locus analysis uncovers a genetic regulatory network of floral organ number in a tree peony (Paeonia suffruticosa Andrews) breeding population. Horticulture Research. 10(7). 11 indexed citations

Jiang, Nan, et al.. (2023). Combined LC-MS-based metabolomics and GC-IMS analysis reveal changes in chemical components and aroma components of Jujube leaf tea during processing. Frontiers in Plant Science. 14. 1179553–1179553. 10 indexed citations

Zhang, Xiao, Zheng‐An Liu, Liping Peng, et al.. (2022). ABSCISIC ACID-INSENSITIVE 5-ω3 FATTY ACID DESATURASE3 module regulates unsaturated fatty acids biosynthesis in Paeonia ostii. Plant Science. 317. 111189–111189. 14 indexed citations

10.

Hao, Qing, et al.. (2022). Evaluation of pollen viability, stigma receptivity, and the cross barrier between tropical and hardy water lily cultivars. Flora. 290. 152046–152046. 7 indexed citations

11.

Huang, Jinbao, Wenjiao Li, Wenjing Liao, et al.. (2020). Green tea polyphenol epigallocatechin-3-gallate alleviates nonalcoholic fatty liver disease and ameliorates intestinal immunity in mice fed a high-fat diet. Food & Function. 11(11). 9924–9935. 35 indexed citations

12.

Zeng, Bin, et al.. (2019). Identification of a Novel SBP1-Containing SCFSFB Complex in Wild Dwarf Almond (Prunus tenella). Frontiers in Genetics. 10. 1019–1019. 8 indexed citations

13.

Hao, Qing, et al.. (2019). Paternal effects on fatty acid composition of tree peony seed oil. Euphytica. 215(7). 5 indexed citations

14.

Hao, Qing, et al.. (2017). Anther and ovule development in Camellia japonica (Naidong) in relation to winter dormancy: Climatic evolution considerations. Flora. 233. 127–139. 13 indexed citations

15.

Yuan, Songli, et al.. (2017). RNA-Seq analysis of nodule development at five different developmental stages of soybean (Glycine max) inoculated with Bradyrhizobium japonicum strain 113-2. Scientific Reports. 7(1). 42248–42248. 44 indexed citations

16.

Hao, Qing, Jin Zhu, Liang‐Sheng Wang, et al.. (2016). Overexpression of PSK1, a SKP1-like gene homologue, from Paeonia suffruticosa, confers salinity tolerance in Arabidopsis. Plant Cell Reports. 36(1). 151–162. 25 indexed citations

17.

Hao, Qing, et al.. (2011). Identification of genes associated with nitrogen-use efficiency by genome-wide transcriptional analysis of two soybean genotypes. BMC Genomics. 12(1). 525–525. 98 indexed citations

18.

Wischnitzki, Elisabeth, et al.. (2009). Functional annotation of expressed sequence tags as a tool to understand the molecular mechanism controlling flower bud development in tree peony. Physiologia Plantarum. 135(4). 436–449. 21 indexed citations

19.

Hao, Qing, et al.. (2008). Studies on Paeonia cultivars and hybrids identification based on SRAP analysis. Hereditas. 145(1). 38–47. 43 indexed citations

20.

Zhang, Jie, Liang‐Sheng Wang, Jin‐Ming Gao, et al.. (2008). Determination of Anthocyanins and Exploration of Relationship between Their Composition and Petal Coloration in Crape Myrtle (Lagerstroemia hybrid). Journal of Integrative Plant Biology. 50(5). 581–588. 35 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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