Hao‐Xun Chang

1.4k total citations
43 papers, 805 citations indexed

About

Hao‐Xun Chang is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Hao‐Xun Chang has authored 43 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Plant Science, 19 papers in Cell Biology and 9 papers in Molecular Biology. Recurrent topics in Hao‐Xun Chang's work include Plant Pathogens and Fungal Diseases (19 papers), Nematode management and characterization studies (12 papers) and Plant pathogens and resistance mechanisms (12 papers). Hao‐Xun Chang is often cited by papers focused on Plant Pathogens and Fungal Diseases (19 papers), Nematode management and characterization studies (12 papers) and Plant pathogens and resistance mechanisms (12 papers). Hao‐Xun Chang collaborates with scholars based in Taiwan, United States and South Korea. Hao‐Xun Chang's co-authors include G. L. Hartman, Leslie L. Domier, Martin I. Chilvers, L. F. S. Leandro, Alexander E. Lipka, J. S. Haudenshield, C. R. Bowen, Craig R. Yendrek, Hyunkyu Sang and Gustavo Caetano‐Anollés and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Journal of Agricultural and Food Chemistry.

In The Last Decade

Hao‐Xun Chang

41 papers receiving 795 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hao‐Xun Chang Taiwan 15 690 272 147 72 58 43 805
Richard N. Raid United States 17 819 1.2× 317 1.2× 122 0.8× 39 0.5× 60 1.0× 83 911
Loren J. Giesler United States 17 870 1.3× 305 1.1× 179 1.2× 66 0.9× 56 1.0× 52 975
Grace Nakabonge Uganda 12 360 0.5× 151 0.6× 97 0.7× 69 1.0× 72 1.2× 28 523
Adini Qisthi Arifah Netherlands 3 618 0.9× 137 0.5× 184 1.3× 99 1.4× 33 0.6× 4 763
Juliana Almario France 15 635 0.9× 144 0.5× 151 1.0× 84 1.2× 71 1.2× 18 726
Nathan Vannier France 12 710 1.0× 121 0.4× 204 1.4× 151 2.1× 67 1.2× 18 883
Fabiano Sillo Italy 16 637 0.9× 311 1.1× 187 1.3× 110 1.5× 129 2.2× 69 827
Soraya C. França Belgium 11 690 1.0× 187 0.7× 168 1.1× 23 0.3× 60 1.0× 17 744
Gilles Vismans Netherlands 4 739 1.1× 133 0.5× 166 1.1× 84 1.2× 48 0.8× 7 835
Xavier Pinochet France 15 835 1.2× 270 1.0× 183 1.2× 34 0.5× 85 1.5× 34 923

Countries citing papers authored by Hao‐Xun Chang

Since Specialization
Citations

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

Fields of papers citing papers by Hao‐Xun Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hao‐Xun Chang. 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 Hao‐Xun Chang. The network helps show where Hao‐Xun Chang may publish in the future.

Co-authorship network of co-authors of Hao‐Xun Chang

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

All Works

20 of 20 papers shown
1.
Huang, Ying, Yu‐Jen Wu, Hao‐Xun Chang, et al.. (2025). Rhizobium rhizogenes A4 ‐derived strains mediate hyper‐efficient transient gene expression in Nicotiana benthamiana and other solanaceous plants. Plant Biotechnology Journal. 24(1). 131–144. 2 indexed citations
2.
Chen, Yi-Jyun, Lee Mh, Hyunkyu Sang, & Hao‐Xun Chang. (2025). Comparative genomics and transcriptomics identify Rhizoctonia solani AG-7 cytochrome P450 gene RsCYP-1 for pencycuron resistance. iScience. 28(7). 112756–112756.
3.
Chang, Hao‐Xun, Stephen Knobloch, Shan‐Hua Yang, et al.. (2024). Metagenomic insight to apprehend the fungal communities associated with leaf blight of Welsh onion in Taiwan. Frontiers in Plant Science. 15. 1352997–1352997. 2 indexed citations
4.
Chang, Hao‐Xun, et al.. (2024). Colonization compatibility with Bacillus altitudinis confers soybean seed rot resistance. The ISME Journal. 18(1). 4 indexed citations
5.
6.
Chang, Hao‐Xun, et al.. (2023). Effects of synthetic and environmentally friendly fungicides on powdery mildew management and the phyllosphere microbiome of cucumber. PLoS ONE. 18(3). e0282809–e0282809. 34 indexed citations
7.
8.
Hsu, Sheng-Yu, et al.. (2022). High-Quality Genome Assembly of Neopestalotiopsis rosae ML1664, the Pathogen Causing Strawberry Leaf Blight and Crown Rot. Molecular Plant-Microbe Interactions. 35(10). 949–953. 6 indexed citations
9.
Huang, Cheng‐Chun, et al.. (2022). Superoxide Initiates the Hyphal Differentiation to Microsclerotia Formation of Macrophomina phaseolina. Microbiology Spectrum. 10(1). e0208421–e0208421. 8 indexed citations
10.
Chang, Hao‐Xun, et al.. (2022). Macrophomina phaseolina causing charcoal rot on soybean (Glycine max) in Taiwan. Australasian Plant Disease Notes. 17(1). 1 indexed citations
11.
Chang, Hao‐Xun, et al.. (2021). First Report of Soybean Seedling Disease Caused by Rhizoctonia solani AG-7 in Taiwan. Plant Disease. 106(1). 314–314. 3 indexed citations
12.
Huang, Cheng‐Chun, et al.. (2021). Copy Number Quantification for the Soybean Cyst Nematode Resistance Locus rhg1 in the Soybean Varieties of Taiwan. Agronomy. 11(7). 1346–1346. 5 indexed citations
13.
Bai, Zhixuan, Li Zhu, Hao‐Xun Chang, & Jiawen Wu. (2020). Enhancement of cadmium accumulation in sweet sorghum as affected by nitrate. Plant Biology. 23(1). 66–73. 16 indexed citations
14.
Chang, Hao‐Xun, et al.. (2019). First Report of Soybean Red Crown Rot Caused by Calonectria ilicicola in Taiwan. Plant Disease. 104(3). 979–979. 6 indexed citations
15.
Wen, Liwei, Hao‐Xun Chang, Patrick J. Brown, Leslie L. Domier, & G. L. Hartman. (2018). Genome-wide association and genomic prediction identifies soybean cyst nematode resistance in common bean including a syntenic region to soybean Rhg1 locus. Horticulture Research. 6(1). 9–9. 30 indexed citations
16.
Chang, Hao‐Xun, Zachary A. Noel, Hyunkyu Sang, & Martin I. Chilvers. (2018). Annotation resource of tandem repeat-containing secretory proteins in sixty fungi. Fungal Genetics and Biology. 119. 7–19. 2 indexed citations
17.
Chang, Hao‐Xun & G. L. Hartman. (2017). Characterization of Insect Resistance Loci in the USDA Soybean Germplasm Collection Using Genome-Wide Association Studies. Frontiers in Plant Science. 8. 670–670. 50 indexed citations
18.
Chang, Hao‐Xun, Patrick J. Brown, Alexander E. Lipka, Leslie L. Domier, & G. L. Hartman. (2016). Genome-wide association and genomic prediction identifies associated loci and predicts the sensitivity of Tobacco ringspot virus in soybean plant introductions. BMC Genomics. 17(1). 153–153. 23 indexed citations
19.
Chang, Hao‐Xun, Alexander E. Lipka, Leslie L. Domier, & G. L. Hartman. (2016). Characterization of Disease Resistance Loci in the USDA Soybean Germplasm Collection Using Genome-Wide Association Studies. Phytopathology. 106(10). 1139–1151. 89 indexed citations
20.
Hartman, G. L., Hao‐Xun Chang, & L. F. S. Leandro. (2015). Research advances and management of soybean sudden death syndrome. Crop Protection. 73. 60–66. 86 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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