Fenghui Qi

520 total citations · 1 hit paper
17 papers, 351 citations indexed

About

Fenghui Qi is a scholar working on Molecular Biology, Plant Science and Insect Science. According to data from OpenAlex, Fenghui Qi has authored 17 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Plant Science and 5 papers in Insect Science. Recurrent topics in Fenghui Qi's work include Insect and Arachnid Ecology and Behavior (3 papers), Plant tissue culture and regeneration (3 papers) and Insect Resistance and Genetics (3 papers). Fenghui Qi is often cited by papers focused on Insect and Arachnid Ecology and Behavior (3 papers), Plant tissue culture and regeneration (3 papers) and Insect Resistance and Genetics (3 papers). Fenghui Qi collaborates with scholars based in China. Fenghui Qi's co-authors include Tianzhong Jing, Minghao Yin, Yaguang Zhan, Kuan‐Yu Liu, Zhu Zhu, Ying Xin, Fansuo Zeng, Hongcui Zhao, Fuxiao Wang and Chuanping Yang and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Gene.

In The Last Decade

Fenghui Qi

16 papers receiving 344 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.

Most dominant roles of insect gut bacteria: digestion, detoxification, or essential nutrient provision?

2020 222 citations Tianzhong Jing, Fenghui Qi et al. Microbiome profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fenghui Qi China	9	201	99	98	58	46	17	351
Tianzhong Jing China	8	221 1.1×	68 0.7×	95 1.0×	69 1.2×	48 1.0×	22	353
Caihua Shi China	11	205 1.0×	154 1.6×	158 1.6×	47 0.8×	41 0.9×	31	371
Pu Yang China	12	207 1.0×	82 0.8×	197 2.0×	54 0.9×	39 0.8×	38	414
Andrea Becchimanzi Italy	15	296 1.5×	188 1.9×	101 1.0×	94 1.6×	104 2.3×	35	455
Αnastasia Gioti Greece	11	97 0.5×	170 1.7×	137 1.4×	73 1.3×	120 2.6×	15	364
Natalia A. Kryukova Russia	13	373 1.9×	166 1.7×	182 1.9×	44 0.8×	24 0.5×	35	460
Pumo Cai China	12	292 1.5×	156 1.6×	114 1.2×	31 0.5×	61 1.3×	48	404
Gladys Mialdea France	8	194 1.0×	114 1.2×	58 0.6×	52 0.9×	41 0.9×	8	327
Muhammad Fahim Raza China	9	279 1.4×	77 0.8×	104 1.1×	44 0.8×	29 0.6×	15	367

Countries citing papers authored by Fenghui Qi

Since Specialization

Citations

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

Fields of papers citing papers by Fenghui Qi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fenghui Qi

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

All Works

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17 of 17 papers shown

Liu, Xin, Hucheng Xing, Yuan Cao, et al.. (2025). Molecular identification of F1 hybrids of Fraxinus mandshurica × Fraxinus chinensis using SSR markers. Gene. 959. 149507–149507. 2 indexed citations

Cao, Yuan, et al.. (2024). Comparative transcriptome analysis of differentially expressed genes and pathways in male and female flowers of Fraxinus mandshurica. PLoS ONE. 19(9). e0308013–e0308013. 1 indexed citations

Zhang, Jun‐Sheng, et al.. (2024). Spatial Pattern of Host Tree Size, Rather than of Host Tree Itself, Affects the Infection Likelihood of a Fungal Stem Disease. Biology. 13(8). 616–616. 1 indexed citations

Bai, Li, Manyu Li, Chuanshan Zou, et al.. (2023). Countering beta-cypermethrin: partitioning roles of the insect gut and its bacteria. Journal of Pest Science. 96(3). 1243–1255. 11 indexed citations

Zhao, Xiaoqi, et al.. (2022). Structural Characterization, Antioxidant and Antitumor Activities of the Two Novel Exopolysaccharides Produced by Debaryomyces hansenii DH-1. International Journal of Molecular Sciences. 24(1). 335–335. 9 indexed citations

Qi, Fenghui, Wenxuan Wang, Lin Liu, et al.. (2022). In vitro adventitious shoot regeneration system for Agrobacterium-mediated genetic transformation of Fraxinus mandshurica Rupr.. Trees. 36(4). 1387–1399. 2 indexed citations

Jing, Tianzhong, Fenghui Qi, & Minghao Yin. (2020). Most dominant roles of insect gut bacteria: digestion, detoxification, or essential nutrient provision?. Microbiome. 8(1). 38–38. 222 indexed citations breakdown →

Jing, Tianzhong, et al.. (2018). Insect anal droplets contain diverse proteins related to gut homeostasis. BMC Genomics. 19(1). 784–784. 9 indexed citations

Zhu, Zhu, et al.. (2015). Sexually different morphological, physiological and molecular responses of Fraxinus mandshurica flowers to floral development and chilling stress. Plant Physiology and Biochemistry. 99. 97–107. 12 indexed citations

10.

Qi, Fenghui, et al.. (2014). Isolation and Expression Analysis of Cu/Zn-Superoxide Dismutase Genes from ThreeCaraganaSpecies. Физиология растений. 61(5). 698–704.

11.

Li, Ningning, et al.. (2014). Isolation and expression analysis of Cu/Zn superoxide dismutase genes from three Caragana species. Russian Journal of Plant Physiology. 61(5). 656–663. 4 indexed citations

12.

Qi, Fenghui, et al.. (2012). Effects of salt stress on sugar content and sucrose metabolism in tomato fruit. Zhongguo shucai. 10 indexed citations

13.

Qi, Fenghui, Tianzhong Jing, & Yaguang Zhan. (2012). Characterization of Endophytic Fungi from Acer ginnala Maxim. in an Artificial Plantation: Media Effect and Tissue-Dependent Variation. PLoS ONE. 7(10). e46785–e46785. 28 indexed citations

14.

Zeng, Fansuo, Yaguang Zhan, Hongcui Zhao, et al.. (2010). Molecular characterization of T-DNA integration sites in transgenic birch. Trees. 24(4). 753–762. 13 indexed citations

15.

Zeng, Fansuo, Yaguang Zhan, Nan Nan, et al.. (2009). Expression of bgt gene in transgenic birch (Betula platyphylla Suk.). AFRICAN JOURNAL OF BIOTECHNOLOGY. 8(15). 3392–3398. 7 indexed citations

16.

Jing, Tianzhong, Minghao Yin, Fenghui Qi, & Kuan‐Yu Liu. (2007). Molecular characterization of diapause hormone and pheromone biosynthesis activating neuropeptide from the black-back prominent moth, Clostera anastomosis (L.) (Lepidoptera, Notodontidae). Insect Biochemistry and Molecular Biology. 37(12). 1262–1271. 17 indexed citations

17.

Jing, Tianzhong, Minghao Yin, Kuan‐Yu Liu, & Fenghui Qi. (2006). A modified one-step procedure for rapid RNA isolation from insect. Journal of Forestry Research. 17(2). 129–131. 3 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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