Chonghui Ji

2.2k total citations · 1 hit paper
10 papers, 844 citations indexed

About

Chonghui Ji is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Chonghui Ji has authored 10 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 6 papers in Molecular Biology and 1 paper in Agronomy and Crop Science. Recurrent topics in Chonghui Ji's work include Plant Pathogenic Bacteria Studies (4 papers), Photosynthetic Processes and Mechanisms (4 papers) and Plant-Microbe Interactions and Immunity (4 papers). Chonghui Ji is often cited by papers focused on Plant Pathogenic Bacteria Studies (4 papers), Photosynthetic Processes and Mechanisms (4 papers) and Plant-Microbe Interactions and Immunity (4 papers). Chonghui Ji collaborates with scholars based in China, United States and Japan. Chonghui Ji's co-authors include Bing Yang, Zhiyuan Ji, Gongyou Chen, Dangping Luo, Yao‐Guang Liu, Letian Chen, Zhenlan Liu, Huiqi Zheng, Riqing Li and Xiucai Zhao and has published in prestigious journals such as Nature Communications, Nature Genetics and Nature Biotechnology.

In The Last Decade

Chonghui Ji

10 papers receiving 833 citations

Hit Papers

A detrimental mitochondrial-nuclear interaction causes cy... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chonghui Ji China 9 645 476 106 34 29 10 844
Junlin Zhang China 9 403 0.6× 413 0.9× 65 0.6× 29 0.9× 24 0.8× 19 647
Xiaoyu Guo China 11 714 1.1× 442 0.9× 108 1.0× 19 0.6× 32 1.1× 23 872
Xianchun Sang China 16 841 1.3× 556 1.2× 199 1.9× 22 0.6× 14 0.5× 85 945
Sulan Bai China 13 699 1.1× 654 1.4× 117 1.1× 67 2.0× 51 1.8× 20 904
Liqun Tang China 14 601 0.9× 304 0.6× 87 0.8× 27 0.8× 11 0.4× 18 667
Xiaohong Yan China 15 453 0.7× 437 0.9× 118 1.1× 23 0.7× 41 1.4× 40 696
Junling Huai China 14 1.0k 1.6× 657 1.4× 64 0.6× 18 0.5× 13 0.4× 18 1.1k
Fangfang Niu China 17 680 1.1× 613 1.3× 49 0.5× 59 1.7× 14 0.5× 33 866
Megan I. Skaggs United States 10 554 0.9× 392 0.8× 59 0.6× 27 0.8× 16 0.6× 10 639

Countries citing papers authored by Chonghui Ji

Since Specialization
Citations

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

Fields of papers citing papers by Chonghui Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chonghui Ji

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

All Works

10 of 10 papers shown
1.
Song, Gaoyuan, Christian Montes, Chonghui Ji, et al.. (2024). Quantitative proteomics reveals extensive lysine ubiquitination and transcription factor stability states in Arabidopsis. The Plant Cell. 37(1). 4 indexed citations
2.
Chen, Libin, Chonghui Ji, Degui Zhou, et al.. (2022). OsLTP47 may function in a lipid transfer relay essential for pollen wall development in rice. Journal of genetics and genomics. 49(5). 481–491. 18 indexed citations
3.
Ji, Chonghui, Zhiyuan Ji, Bo Liu, et al.. (2020). Xa1 Allelic R Genes Activate Rice Blight Resistance Suppressed by Interfering TAL Effectors. Plant Communications. 1(4). 100087–100087. 62 indexed citations
4.
Zhou, Mian, et al.. (2019). Development of a structure-switching aptamer-based nanosensor for salicylic acid detection. Biosensors and Bioelectronics. 140. 111342–111342. 42 indexed citations
5.
Eom, Joon‐Seob, Dangping Luo, Jungil Yang, et al.. (2019). Diagnostic kit for rice blight resistance. Nature Biotechnology. 37(11). 1372–1379. 99 indexed citations
6.
Li, Chenhao, Chonghui Ji, José C. Huguet‐Tapia, et al.. (2019). An efficient method to clone TAL effector genes from Xanthomonas oryzae using Gibson assembly. Molecular Plant Pathology. 20(10). 1453–1462. 11 indexed citations
7.
Liu, Yang, et al.. (2017). Targeted mutagenesis in tetraploid switchgrass (Panicum virgatum L.) using CRISPR/Cas9. Plant Biotechnology Journal. 16(2). 381–393. 60 indexed citations
8.
Ji, Zhiyuan, Chonghui Ji, Бо Лю, et al.. (2016). Interfering TAL effectors of Xanthomonas oryzae neutralize R-gene-mediated plant disease resistance. Nature Communications. 7(1). 13435–13435. 123 indexed citations
9.
Luo, Dangping, Hong Xu, Zhenlan Liu, et al.. (2013). A detrimental mitochondrial-nuclear interaction causes cytoplasmic male sterility in rice. Nature Genetics. 45(5). 573–577. 411 indexed citations breakdown →
10.
Luo, Dangping, Zhenlan Liu, Jingxin Guo, et al.. (2013). A detrimental mitochondrial-nuclear interaction causes cytoplasmic male sterility in rice. Nat Genet. 14 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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