Feng‐Jia Qu

925 total citations · 1 hit paper
7 papers, 732 citations indexed

About

Feng‐Jia Qu is a scholar working on Plant Science, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Feng‐Jia Qu has authored 7 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 5 papers in Molecular Biology and 0 papers in Infectious Diseases. Recurrent topics in Feng‐Jia Qu's work include Plant Molecular Biology Research (6 papers), Plant Gene Expression Analysis (5 papers) and Plant Stress Responses and Tolerance (2 papers). Feng‐Jia Qu is often cited by papers focused on Plant Molecular Biology Research (6 papers), Plant Gene Expression Analysis (5 papers) and Plant Stress Responses and Tolerance (2 papers). Feng‐Jia Qu collaborates with scholars based in China. Feng‐Jia Qu's co-authors include Chun‐Xiang You, Jian‐Ping An, Yu‐Jin Hao, Xiao‐Fei Wang, Ji‐Fang Yao, Xiaona Wang, Xiaofei Wang, Yu‐Jin Hao, Rui Li and Rui Li and has published in prestigious journals such as Biochemical and Biophysical Research Communications, The Plant Journal and Frontiers in Plant Science.

In The Last Decade

Feng‐Jia Qu

7 papers receiving 728 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The bZIP transcription factor MdHY5 regulates anthocyanin accumulation and nitrate assimilation in apple

2017 320 citations Jian‐Ping An, Feng‐Jia Qu et al. Horticulture Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Feng‐Jia Qu China	7	589	566	112	29	28	7	732
Chitra Bhatia India	10	449 0.8×	470 0.8×	61 0.5×	14 0.5×	15 0.5×	13	613
Benjamin M. Kuhn Switzerland	8	426 0.7×	397 0.7×	54 0.5×	21 0.7×	16 0.6×	10	564
Jian Zou China	7	282 0.5×	296 0.5×	99 0.9×	32 1.1×	16 0.6×	20	431
Chan Xu China	6	339 0.6×	322 0.6×	86 0.8×	20 0.7×	10 0.4×	14	473
Damaris Grain France	8	384 0.7×	563 1.0×	145 1.3×	25 0.9×	9 0.3×	10	655
Guoren He China	13	343 0.6×	400 0.7×	96 0.9×	34 1.2×	50 1.8×	27	534
Qingguo Sun China	8	290 0.5×	444 0.8×	148 1.3×	25 0.9×	9 0.3×	11	509
Nguyen Hoai Nguyen South Korea	14	632 1.1×	607 1.1×	74 0.7×	17 0.6×	7 0.3×	18	798
Yujin Yuan China	13	618 1.0×	546 1.0×	109 1.0×	15 0.5×	23 0.8×	17	773
Suwen Lu China	13	272 0.5×	362 0.6×	184 1.6×	36 1.2×	21 0.8×	18	474

Countries citing papers authored by Feng‐Jia Qu

Since Specialization

Citations

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

Fields of papers citing papers by Feng‐Jia Qu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng‐Jia Qu. 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 Feng‐Jia Qu. The network helps show where Feng‐Jia Qu may publish in the future.

Co-authorship network of co-authors of Feng‐Jia Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Feng‐Jia Qu. A scholar is included among the top collaborators of Feng‐Jia Qu 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 Feng‐Jia Qu. Feng‐Jia Qu 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:

7 of 7 papers shown

1.

Yang, Yuying, Yi‐Ran Ren, Peng‐Fei Zheng, et al.. (2019). Functional identification of apple MdMYB2 gene in phosphate-starvation response. Journal of Plant Physiology. 244. 153089–153089. 18 indexed citations

2.

An, Jian‐Ping, Rui Li, Feng‐Jia Qu, et al.. (2018). R2R3‐MYB transcription factor MdMYB23 is involved in the cold tolerance and proanthocyanidin accumulation in apple. The Plant Journal. 96(3). 562–577. 213 indexed citations

3.

An, Jian‐Ping, Rui Li, Feng‐Jia Qu, et al.. (2017). An apple NAC transcription factor negatively regulates cold tolerance via CBF-dependent pathway. Journal of Plant Physiology. 221. 74–80. 99 indexed citations

4.

An, Jian‐Ping, Feng‐Jia Qu, Ji‐Fang Yao, et al.. (2017). The bZIP transcription factor MdHY5 regulates anthocyanin accumulation and nitrate assimilation in apple. Horticulture Research. 4(1). 17023–17023. 320 indexed citations breakdown →

5.

An, Jian‐Ping, Rui Li, Feng‐Jia Qu, et al.. (2017). Ectopic expression of an apple cytochrome P450 gene MdCYPM1 negatively regulates plant photomorphogenesis and stress response in Arabidopsis. Biochemical and Biophysical Research Communications. 483(1). 1–9. 24 indexed citations

6.

Li, Haohao, Feng‐Jia Qu, Ji‐Fang Yao, et al.. (2017). Identification of the SRO gene family in apples (Malus×domestica) with a functional characterization of MdRCD1. Tree Genetics & Genomes. 13(5). 13 indexed citations

7.

An, Jian‐Ping, Rui Li, Feng‐Jia Qu, et al.. (2016). Apple F-Box Protein MdMAX2 Regulates Plant Photomorphogenesis and Stress Response. Frontiers in Plant Science. 7. 1685–1685. 45 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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