Hur‐Song Chang

9.9k total citations · 4 hit papers
24 papers, 6.9k citations indexed

About

Hur‐Song Chang is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Hur‐Song Chang has authored 24 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 14 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Hur‐Song Chang's work include Plant Molecular Biology Research (9 papers), Plant Stress Responses and Tolerance (8 papers) and Photosynthetic Processes and Mechanisms (7 papers). Hur‐Song Chang is often cited by papers focused on Plant Molecular Biology Research (9 papers), Plant Stress Responses and Tolerance (8 papers) and Photosynthetic Processes and Mechanisms (7 papers). Hur‐Song Chang collaborates with scholars based in United States, Switzerland and Germany. Hur‐Song Chang's co-authors include Tong Zhu, Xun Wang, Joel A. Kreps, Jeff Harper, Yajun Wu, Bin Han, Stacey L. Harmer, Marty Straume, John B. Hogenesch and Steve A. Kay and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Hur‐Song Chang

24 papers receiving 6.6k citations

Hit Papers

Orchestrated Transcription of Key Pathways in Arabidopsis... 2000 2026 2008 2017 2000 2002 2002 2003 400 800 1.2k

Peers

Hur‐Song Chang
Biao Ma China
Tong Zhu United States
Sang Yeol Lee South Korea
Sean R. Cutler United States
Pil Joon Seo South Korea
Chung‐Mo Park South Korea
Hur‐Song Chang
Citations per year, relative to Hur‐Song Chang Hur‐Song Chang (= 1×) peers Hiroshi Ezura

Countries citing papers authored by Hur‐Song Chang

Since Specialization
Citations

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

Fields of papers citing papers by Hur‐Song Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hur‐Song Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Hur‐Song Chang. A scholar is included among the top collaborators of Hur‐Song 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 Hur‐Song Chang. Hur‐Song 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.
Ghassemian, Majid, Jason Lutes, Hur‐Song Chang, et al.. (2008). Abscisic acid-induced modulation of metabolic and redox control pathways in Arabidopsis thaliana. Phytochemistry. 69(17). 2899–2911. 39 indexed citations
2.
Singer, Tatjana, Yiping Fan, Hur‐Song Chang, et al.. (2006). A High-Resolution Map of Arabidopsis Recombinant Inbred Lines by Whole-Genome Exon Array Hybridization. PLoS Genetics. 2(9). e144–e144. 85 indexed citations
3.
Ghassemian, Majid, Jason Lutes, James M. Tepperman, et al.. (2006). Integrative analysis of transcript and metabolite profiling data sets to evaluate the regulation of biochemical pathways during photomorphogenesis. Archives of Biochemistry and Biophysics. 448(1-2). 45–59. 56 indexed citations
4.
Güimil, Sonia, Hur‐Song Chang, Tong Zhu, et al.. (2005). Comparative transcriptomics of rice reveals an ancient pattern of response to microbial colonization. Proceedings of the National Academy of Sciences. 102(22). 8066–8070. 267 indexed citations
5.
Devoto, Alessandra, Christine Ellis, Andreas Magusin, et al.. (2005). Expression profiling reveals COI1 to be a key regulator of genes involved in wound- and methyl jasmonate-induced secondary metabolism, defence, and hormone interactions. Plant Molecular Biology. 58(4). 497–513. 240 indexed citations
6.
Hwang, Yong‐sic, Paul C. Bethke, Yong Hwa Cheong, et al.. (2005). A Gibberellin-Regulated Calcineurin B in Rice Localizes to the Tonoplast and Is Implicated in Vacuole Function. PLANT PHYSIOLOGY. 138(3). 1347–1358. 60 indexed citations
7.
Hazen, Samuel P., M S Pathan, Alma Sanchez, et al.. (2004). Expression profiling of rice segregating for drought tolerance QTLs using a rice genome array. Functional & Integrative Genomics. 5(2). 104–116. 89 indexed citations
8.
Moggs, Jonathan G., H. Tinwell, Tracey D. Spurway, et al.. (2004). Phenotypic Anchoring of Gene Expression Changes during Estrogen-Induced Uterine Growth. Environmental Health Perspectives. 112(9). 1589–1606. 68 indexed citations
9.
Wintz, Henri, Tama C. Fox, Ying‐Ying Wu, et al.. (2003). Expression Profiles of Arabidopsis thaliana in Mineral Deficiencies Reveal Novel Transporters Involved in Metal Homeostasis. Journal of Biological Chemistry. 278(48). 47644–47653. 316 indexed citations
10.
Borevitz, Justin, David Plouffe, Hur‐Song Chang, et al.. (2003). Large-Scale Identification of Single-Feature Polymorphisms in Complex Genomes. Genome Research. 13(3). 513–523. 300 indexed citations
11.
Whitham, Steven A., Sheng Quan, Hur‐Song Chang, et al.. (2003). Diverse RNA viruses elicit the expression of common sets of genes in susceptible Arabidopsis thaliana plants. The Plant Journal. 33(2). 271–283. 288 indexed citations
12.
Glazebrook, Jane, Wenqiong Chen, Bram Estes, et al.. (2003). Topology of the network integrating salicylate and jasmonate signal transduction derived from global expression phenotyping. The Plant Journal. 34(2). 217–228. 390 indexed citations
13.
Laule, Oliver, Andreas Fürholz, Hur‐Song Chang, et al.. (2003). Crosstalk between cytosolic and plastidial pathways of isoprenoid biosynthesis in Arabidopsis thaliana. Proceedings of the National Academy of Sciences. 100(11). 6866–6871. 544 indexed citations breakdown →
14.
Zhu, Tong, et al.. (2002). Transcription Profiling of the Early Gravitropic Response in Arabidopsis Using High-Density Oligonucleotide Probe Microarrays,. PLANT PHYSIOLOGY. 130(2). 720–728. 84 indexed citations
15.
Zhu, Tong, Paul Budworth, Wenqiong Chen, et al.. (2002). Transcriptional control of nutrient partitioning during rice grain filling. Plant Biotechnology Journal. 1(1). 59–70. 110 indexed citations
16.
Kreps, Joel A., Yajun Wu, Hur‐Song Chang, et al.. (2002). Transcriptome Changes for Arabidopsis in Response to Salt, Osmotic, and Cold Stress,. PLANT PHYSIOLOGY. 130(4). 2129–2141. 1195 indexed citations breakdown →
17.
Tepperman, James M., Tong Zhu, Hur‐Song Chang, Xun Wang, & Peter H. Quail. (2001). Multiple transcription-factor genes are early targets of phytochrome A signaling. Proceedings of the National Academy of Sciences. 98(16). 9437–9442. 386 indexed citations
18.
Zhu, Tong, Hur‐Song Chang, James Schmeits, et al.. (2001). Gene Expression Microarrays: Improvements and Applications towards Agricultural Gene Discovery. JALA Journal of the Association for Laboratory Automation. 6(6). 95–98. 2 indexed citations
19.
20.
Harmer, Stacey L., John B. Hogenesch, Marty Straume, et al.. (2000). Orchestrated Transcription of Key Pathways in Arabidopsis by the Circadian Clock. Science. 290(5499). 2110–2113. 1323 indexed citations breakdown →

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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