Qin Ai

829 total citations
8 papers, 616 citations indexed

About

Qin Ai is a scholar working on Plant Science, Molecular Biology and Radiation. According to data from OpenAlex, Qin Ai has authored 8 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 4 papers in Molecular Biology and 1 paper in Radiation. Recurrent topics in Qin Ai's work include Plant Molecular Biology Research (4 papers), Plant nutrient uptake and metabolism (4 papers) and Plant Stress Responses and Tolerance (3 papers). Qin Ai is often cited by papers focused on Plant Molecular Biology Research (4 papers), Plant nutrient uptake and metabolism (4 papers) and Plant Stress Responses and Tolerance (3 papers). Qin Ai collaborates with scholars based in China. Qin Ai's co-authors include Diqiu Yu, Gang Liang, Huimin Zhang, Xiaoli Li, Huimin Zhang, Hua He, Li Yang, Yu Zhou, Xiaomin Zheng and Wen Ye and has published in prestigious journals such as Nature Communications, PLANT PHYSIOLOGY and Scientific Reports.

In The Last Decade

Qin Ai

8 papers receiving 611 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qin Ai China	7	552	211	12	9	9	8	616
Rebekah A. Rampey United States	8	788 1.4×	477 2.3×	12 1.0×	17 1.9×	6 0.7×	8	858
Konstantinos A. Loulakakis Greece	9	333 0.6×	156 0.7×	5 0.4×	6 0.7×	4 0.4×	14	374
Dayong Zhang China	12	275 0.5×	132 0.6×	4 0.3×	4 0.4×	6 0.7×	16	321
N. I. Aleksandrushkina Russia	11	304 0.6×	182 0.9×	4 0.3×	12 1.3×	4 0.4×	18	373
Yang QingSong China	9	211 0.4×	158 0.7×	6 0.5×	11 1.2×	14 1.6×	33	298
Ruizong Jia China	9	210 0.4×	130 0.6×	4 0.3×	5 0.6×	5 0.6×	23	258
S. K. Bera India	11	415 0.8×	79 0.4×	27 2.3×	4 0.4×	4 0.4×	54	430
Yingjie Shu China	9	440 0.8×	240 1.1×	14 1.2×	5 0.6×	9 1.0×	25	479
Zhenxing Wang China	9	292 0.5×	201 1.0×	3 0.3×	16 1.8×	2 0.2×	31	356
K. L. Dobariya India	6	231 0.4×	58 0.3×	21 1.8×	4 0.4×	14 1.6×	27	246

Countries citing papers authored by Qin Ai

Since Specialization

Citations

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

Fields of papers citing papers by Qin Ai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qin Ai

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Liang, Gang, Qin Ai, & Diqiu Yu. (2020). Author Correction: Uncovering miRNAs involved in crosstalk between nutrient deficiencies in Arabidopsis. Scientific Reports. 10(1). 6912–6912. 2 indexed citations

2.

Wang, Kun, Dehe Wang, Xiaomin Zheng, et al.. (2019). Multi-strategic RNA-seq analysis reveals a high-resolution transcriptional landscape in cotton. Nature Communications. 10(1). 4714–4714. 65 indexed citations

3.

Xiao, Sa, et al.. (2018). Discrimination of high-Z materials in sealed containers with cosmic ray muons. Journal of Instrumentation. 13(10). P10017–P10017. 6 indexed citations

4.

Liang, Gang, Huimin Zhang, Xiaoli Li, Qin Ai, & Diqiu Yu. (2017). bHLH transcription factor bHLH115 regulates iron homeostasis in Arabidopsis thaliana. Journal of Experimental Botany. 68(7). 1743–1755. 147 indexed citations

5.

Ai, Qin, Gang Liang, Huimin Zhang, & Diqiu Yu. (2016). Control of sulfate concentration by miR395-targeted APS genes in Arabidopsis thaliana. Plant Diversity. 38(2). 92–100. 24 indexed citations

6.

Zhang, Huimin, et al.. (2016). Two bHLH Transcription Factors, bHLH34 and bHLH104, Regulate Iron Homeostasis in Arabidopsis thaliana. PLANT PHYSIOLOGY. 170(4). 2478–2493. 214 indexed citations

7.

Liang, Gang, Qin Ai, & Diqiu Yu. (2015). Uncovering miRNAs involved in crosstalk between nutrient deficiencies in Arabidopsis. Scientific Reports. 5(1). 11813–11813. 84 indexed citations

8.

Liang, Gang, Hua He, Li Yang, Qin Ai, & Diqiu Yu. (2014). MYB82 functions in regulation of trichome development in Arabidopsis. Journal of Experimental Botany. 65(12). 3215–3223. 74 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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