Fangjun Qi

434 total citations
19 papers, 335 citations indexed

About

Fangjun Qi is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Fangjun Qi has authored 19 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 11 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Fangjun Qi's work include Plant-Microbe Interactions and Immunity (8 papers), Research in Cotton Cultivation (7 papers) and Plant Virus Research Studies (6 papers). Fangjun Qi is often cited by papers focused on Plant-Microbe Interactions and Immunity (8 papers), Research in Cotton Cultivation (7 papers) and Plant Virus Research Studies (6 papers). Fangjun Qi collaborates with scholars based in China and United Kingdom. Fangjun Qi's co-authors include Wenwei Zhang, Guiliang Jian, Tengfei Jiang, Zhi Liu, Shengzheng Wang, Sha Li, Kai Liu, Mingzhen Zhang, Jing Meng and Huan Gao and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Frontiers in Plant Science.

In The Last Decade

Fangjun Qi

19 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fangjun Qi China 11 269 158 60 35 19 19 335
Prabha Liyanapathiranage United States 7 293 1.1× 76 0.5× 63 1.1× 13 0.4× 20 1.1× 32 353
Xiaole Yin China 11 263 1.0× 144 0.9× 88 1.5× 15 0.4× 17 0.9× 20 298
Bart P. J. Geraats Netherlands 7 693 2.6× 137 0.9× 122 2.0× 70 2.0× 16 0.8× 8 726
William Thomas United Kingdom 7 447 1.7× 55 0.3× 62 1.0× 38 1.1× 9 0.5× 8 486
Meirav Leibman‐Markus Israel 14 391 1.5× 143 0.9× 65 1.1× 30 0.9× 6 0.3× 31 439
Rajdeep Jaswal India 11 434 1.6× 191 1.2× 96 1.6× 10 0.3× 9 0.5× 20 486
Eric A. Newberry United States 11 442 1.6× 89 0.6× 97 1.6× 9 0.3× 31 1.6× 19 495
Yuliang Cai China 12 251 0.9× 142 0.9× 52 0.9× 19 0.5× 8 0.4× 20 322
U. Keerthana India 13 352 1.3× 108 0.7× 123 2.0× 14 0.4× 8 0.4× 33 391
Mariana Patanita Portugal 9 211 0.8× 74 0.5× 87 1.4× 29 0.8× 20 1.1× 14 250

Countries citing papers authored by Fangjun Qi

Since Specialization
Citations

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

Fields of papers citing papers by Fangjun Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangjun Qi

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

All Works

19 of 19 papers shown
1.
Zhang, Wenwei, et al.. (2019). Genetic variations of prevailing Verticillium dahliae isolates from cotton in China. Journal of Plant Pathology. 101(3). 565–578. 7 indexed citations
2.
Gao, Huan, et al.. (2019). Occurrence of Verticillium Wilt Caused by Verticillium dahliae on Okra (Abelmoschus esculentus) in North China. Plant Disease. 103(6). 1413–1413. 1 indexed citations
3.
Meng, Jing, Huan Gao, Mingzhen Zhang, et al.. (2018). Subtle regulation of cotton resistance to Verticillium wilt mediated by MAPKK family members. Plant Science. 272. 235–242. 27 indexed citations
4.
Liu, Wei, et al.. (2018). Study of Cotton Leaf Senescence Induced by Alternaria alternata Infection. Methods in molecular biology. 1744. 161–171. 3 indexed citations
5.
Zhang, Mingzhen, Jing Meng, Huan Gao, et al.. (2018). Genome-wide analysis of nucleotide binding site-leucine-rich repeats (NBS-LRR) disease resistance genes in Gossypium hirsutum. Physiological and Molecular Plant Pathology. 104. 1–8. 10 indexed citations
6.
Sun, Yang, Xinzheng Huang, Yuese Ning, et al.. (2017). TPS46, a Rice Terpene Synthase Conferring Natural Resistance to Bird Cherry-Oat Aphid, Rhopalosiphum padi (Linnaeus). Frontiers in Plant Science. 8. 110–110. 32 indexed citations
7.
8.
Zhang, Wenwei, et al.. (2016). Generation of transcriptome profiling and gene functional analysis in Gossypium hirsutum upon Verticillium dahliae infection. Biochemical and Biophysical Research Communications. 473(4). 879–885. 21 indexed citations
9.
Zhang, Wenwei, et al.. (2016). The genes involved in the protective effects of phytohormones in response to Verticillium dahliae infection in Gossypium hirsutum. Journal of Plant Biology. 59(2). 194–202. 12 indexed citations
10.
Liu, Ying, et al.. (2013). Photobacterium aquae sp. nov., isolated from a recirculating mariculture system. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 64(Pt_2). 475–480. 9 indexed citations
11.
Liu, Ying, et al.. (2013). Wenyingzhuangia marina gen. nov., sp. nov., a member of the family Flavobacteriaceae isolated from a recirculating mariculture system. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 64(Pt_2). 469–474. 9 indexed citations
12.
Zhang, Wenwei, et al.. (2012). Cotton gene expression profiles in resistant Gossypium hirsutum cv. Zhongzhimian KV1 responding to Verticillium dahliae strain V991 infection. Molecular Biology Reports. 39(10). 9765–9774. 36 indexed citations
13.
Liu, Zhi, Jie Zhao, Yunhe Li, et al.. (2012). Non-Uniform Distribution Pattern for Differentially Expressed Genes of Transgenic Rice Huahui 1 at Different Developmental Stages and Environments. PLoS ONE. 7(5). e37078–e37078. 12 indexed citations
14.
Jiang, Tengfei, et al.. (2012). Dominant Gene cplsr1 Corresponding to Premature Leaf Senescence Resistance in Cotton (Gossypium hirsutum L.)F. Journal of Integrative Plant Biology. 54(8). 577–583. 5 indexed citations
15.
Liu, Zhi, Yunhe Li, Jie Zhao, et al.. (2012). Differentially Expressed Genes Distributed Over Chromosomes and Implicated in Certain Biological Processes for Site Insertion Genetically Modified Rice Kemingdao. International Journal of Biological Sciences. 8(7). 953–963. 8 indexed citations
16.
Li, Sha, Tengfei Jiang, Zhi Liu, et al.. (2012). Chilling Stress—The Key Predisposing Factor for Causing Alternaria alternata Infection and Leading to Cotton (Gossypium hirsutum L.) Leaf Senescence. PLoS ONE. 7(4). e36126–e36126. 40 indexed citations
17.
Zhang, Wenwei, et al.. (2012). Colonization in cotton plants by a green fluorescent protein labelled strain of Verticillium dahliae. European Journal of Plant Pathology. 135(4). 867–876. 54 indexed citations
18.
Zhang, Wenwei, et al.. (2012). Comparative expression analysis in susceptible and resistant Gossypium hirsutum responding to Verticillium dahliae infection by cDNA-AFLP. Physiological and Molecular Plant Pathology. 80. 50–57. 10 indexed citations
19.
Liu, Ying, et al.. (2004). Isolation and phylogenetic analysis of a moderately thermophilic acidophilic sulfur oxidizing bacterium. 44(3). 382–385. 11 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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