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

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.

Orchestrated Transcription of Key Pathways in Arabidopsis by the Circadian Clock

2000 1.3k citations Stacey L. Harmer, John B. Hogenesch et al. Science profile →
Transcriptome Changes for Arabidopsis in Response to Salt, Osmotic, and Cold Stress,

2002 1.2k citations Joel A. Kreps, Yajun Wu et al. PLANT PHYSIOLOGY profile →
Transcriptional Profiling Reveals Novel Interactions between Wounding, Pathogen, Abiotic Stress, and Hormonal Responses in Arabidopsis,

2002 684 citations Yong Hwa Cheong, Hur‐Song Chang et al. PLANT PHYSIOLOGY profile →
Crosstalk between cytosolic and plastidial pathways of isoprenoid biosynthesis in Arabidopsis thaliana

2003 544 citations Oliver Laule, Andreas Fürholz et al. Proceedings of the National Academy of Sciences profile →

Peers

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

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20 of 20 papers shown

#	Title	Journal	Authors	Indexed citations
1	Abscisic acid-induced modulation of metabolic and redox control pathways in Arabidopsis thaliana	Phytochemistry	Majid Ghassemian, Jason Lutes et al.	39
2	A High-Resolution Map of Arabidopsis Recombinant Inbred Lines by Whole-Genome Exon Array Hybridization	PLoS Genetics	Tatjana Singer, Yiping Fan et al.	85
3	Integrative analysis of transcript and metabolite profiling data sets to evaluate the regulation of biochemical pathways during photomorphogenesis	Archives of Biochemistry and Biophysics	Majid Ghassemian, Jason Lutes et al.	56
4	Comparative transcriptomics of rice reveals an ancient pattern of response to microbial colonization	Proceedings of the National Academy of Sciences	Sonia Güimil, Hur‐Song Chang et al.	267
5	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	Alessandra Devoto, Christine Ellis et al.	240
6	A Gibberellin-Regulated Calcineurin B in Rice Localizes to the Tonoplast and Is Implicated in Vacuole Function	PLANT PHYSIOLOGY	Yong‐sic Hwang, Paul C. Bethke et al.	60
7	Expression profiling of rice segregating for drought tolerance QTLs using a rice genome array	Functional & Integrative Genomics	Samuel P. Hazen, M S Pathan et al.	89
8	Phenotypic Anchoring of Gene Expression Changes during Estrogen-Induced Uterine Growth	Environmental Health Perspectives	Jonathan G. Moggs, H. Tinwell et al.	68
9	Expression Profiles of Arabidopsis thaliana in Mineral Deficiencies Reveal Novel Transporters Involved in Metal Homeostasis	Journal of Biological Chemistry	Henri Wintz, Tama C. Fox et al.	316
10	Large-Scale Identification of Single-Feature Polymorphisms in Complex Genomes	Genome Research	Justin Borevitz, David Plouffe et al.	300
11	Diverse RNA viruses elicit the expression of common sets of genes in susceptible Arabidopsis thaliana plants	The Plant Journal	Steven A. Whitham, Sheng Quan et al.	288
12	Topology of the network integrating salicylate and jasmonate signal transduction derived from global expression phenotyping	The Plant Journal	Jane Glazebrook, Wenqiong Chen et al.	390
13	Crosstalk between cytosolic and plastidial pathways of isoprenoid biosynthesis in Arabidopsis thaliana breakdown →	Proceedings of the National Academy of Sciences	Oliver Laule, Andreas Fürholz et al.	544
14	Transcription Profiling of the Early Gravitropic Response in Arabidopsis Using High-Density Oligonucleotide Probe Microarrays,	PLANT PHYSIOLOGY	Tong Zhu, Hur‐Song Chang et al.	84
15	Transcriptional control of nutrient partitioning during rice grain filling	Plant Biotechnology Journal	Tong Zhu, Paul Budworth et al.	110
16	Transcriptome Changes for Arabidopsis in Response to Salt, Osmotic, and Cold Stress, breakdown →	PLANT PHYSIOLOGY	Joel A. Kreps, Yajun Wu et al.	1195
17	Multiple transcription-factor genes are early targets of phytochrome A signaling	Proceedings of the National Academy of Sciences	James M. Tepperman, Tong Zhu et al.	386
18	Gene Expression Microarrays: Improvements and Applications towards Agricultural Gene Discovery	JALA Journal of the Association for Laboratory Automation	Tong Zhu, Hur‐Song Chang et al.	2
19	Toward elucidating the global gene expression patternsof developing Arabidopsis: Parallel analysis of 8 300 genesby a high-density oligonucleotide probe array	Plant Physiology and Biochemistry	Tong Zhu, Paul Budworth et al.	91
20	Orchestrated Transcription of Key Pathways in Arabidopsis by the Circadian Clock breakdown →	Science	Stacey L. Harmer, John B. Hogenesch et al.	1323

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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