Hyosub Chu

1.1k total citations
44 papers, 865 citations indexed

About

Hyosub Chu is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Hyosub Chu has authored 44 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Plant Science, 22 papers in Molecular Biology and 15 papers in Endocrinology. Recurrent topics in Hyosub Chu's work include Plant Virus Research Studies (17 papers), Plant and Fungal Interactions Research (15 papers) and Plant Molecular Biology Research (11 papers). Hyosub Chu is often cited by papers focused on Plant Virus Research Studies (17 papers), Plant and Fungal Interactions Research (15 papers) and Plant Molecular Biology Research (11 papers). Hyosub Chu collaborates with scholars based in South Korea, China and United States. Hyosub Chu's co-authors include Won Kyong Cho, Yeonhwa Jo, Yeonggil Rim, Jae‐Yean Kim, Xiong‐Yan Chen, Sen Lian, Hoseong Choi, Xiao Han, Zee‐Yong Park and Seon-Won Kim and has published in prestigious journals such as PLANT PHYSIOLOGY, Scientific Reports and New Phytologist.

In The Last Decade

Hyosub Chu

44 papers receiving 856 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyosub Chu South Korea 17 652 402 92 53 41 44 865
Dongfang Ma China 22 1.1k 1.7× 649 1.6× 54 0.6× 51 1.0× 12 0.3× 82 1.3k
Xinzhong Zhang China 25 1.4k 2.1× 621 1.5× 26 0.3× 63 1.2× 31 0.8× 84 1.6k
Wànkuí Gǒng China 22 1.1k 1.7× 418 1.0× 114 1.2× 83 1.6× 23 0.6× 65 1.4k
Sandui Guo China 18 1.1k 1.6× 726 1.8× 34 0.4× 12 0.2× 26 0.6× 54 1.4k
Chuanfu An United States 16 906 1.4× 326 0.8× 56 0.6× 61 1.2× 10 0.2× 18 1.0k
Heather Macdonald United Kingdom 16 675 1.0× 578 1.4× 66 0.7× 14 0.3× 51 1.2× 25 947
Amita Kaundal United States 16 690 1.1× 307 0.8× 30 0.3× 32 0.6× 14 0.3× 30 870
Ritu Kapoor India 13 352 0.5× 223 0.6× 26 0.3× 49 0.9× 27 0.7× 21 593
Mihir K. Mandal United States 14 946 1.5× 295 0.7× 34 0.4× 91 1.7× 23 0.6× 26 1.1k
Anburaj Jeyaraj China 16 359 0.6× 226 0.6× 27 0.3× 42 0.8× 23 0.6× 30 757

Countries citing papers authored by Hyosub Chu

Since Specialization
Citations

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

Fields of papers citing papers by Hyosub Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyosub Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Hyosub Chu. A scholar is included among the top collaborators of Hyosub Chu 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 Hyosub Chu. Hyosub Chu 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.
Kim, Hyeonji, Hyosub Chu, Young‐Jae Cho, et al.. (2024). Development of a Fit-For-Purpose Multi-Marker Panel for Early Diagnosis of Pancreatic Ductal Adenocarcinoma. Molecular & Cellular Proteomics. 23(9). 100824–100824. 3 indexed citations
2.
Chu, Hyosub, et al.. (2024). Comparative profiling by data-independent acquisition mass spectrometry reveals featured plasma proteins in breast cancer: a pilot study. Annals of Surgical Treatment and Research. 106(4). 195–195. 2 indexed citations
3.
Kang, Youbin, Kyu‐Man Han, Woo‐Suk Tae, et al.. (2022). Association Between the C4 Binding Protein Level and White Matter Integrity in Major Depressive Disorder. Psychiatry Investigation. 19(9). 703–711. 2 indexed citations
4.
Jo, Yeonhwa, et al.. (2019). First Report of Peach Leaf Pitting-Associated Virus in Peach Trees Exhibiting Calico in Korea. Plant Disease. 103(11). 2971–2971. 2 indexed citations
5.
Chu, Hyosub, Yeonhwa Jo, Hoseong Choi, Bong Choon Lee, & Won Kyong Cho. (2018). Identification of viral domains integrated into Arabidopsis proteome. Molecular Phylogenetics and Evolution. 128. 246–257. 1 indexed citations
6.
Lyu, Jae Il, Jin Hee Kim, Hyosub Chu, et al.. (2018). Natural allelic variation of GVS1 confers diversity in the regulation of leaf senescence in Arabidopsis. New Phytologist. 221(4). 2320–2334. 11 indexed citations
7.
Jo, Yeonhwa, Sen Lian, Hyosub Chu, et al.. (2018). Peach RNA viromes in six different peach cultivars. Scientific Reports. 8(1). 1844–1844. 51 indexed citations
8.
Lyu, Jae Il, et al.. (2017). High-Throughput and Computational Study of Leaf Senescence through a Phenomic Approach. Frontiers in Plant Science. 8. 250–250. 17 indexed citations
9.
Choi, Hoseong, Yeonhwa Jo, Sen Lian, et al.. (2015). Comparative analysis of chrysanthemum transcriptome in response to three RNA viruses: Cucumber mosaic virus, Tomato spotted wilt virus and Potato virus X. Plant Molecular Biology. 88(3). 233–248. 31 indexed citations
10.
Jo, Yeonhwa, et al.. (2015). De novo transcriptome assembly of two different apricot cultivars. Genomics Data. 6. 275–276. 4 indexed citations
11.
Jo, Yeonhwa, et al.. (2015). De novo transcriptome assembly of two different Prunus salicina cultivars. Genomics Data. 6. 262–263. 6 indexed citations
12.
Jo, Yeonhwa, et al.. (2015). De novo transcriptome assembly of two different Prunus mume cultivars. Genomics Data. 6. 273–274. 3 indexed citations
13.
Cho, Won Kyong, Yeonhwa Jo, Hyosub Chu, Sang‐Ho Park, & Kook‐Hyung Kim. (2014). Integration of latex protein sequence data provides comprehensive functional overview of latex proteins. Molecular Biology Reports. 41(3). 1469–1481. 24 indexed citations
14.
Chu, Hyosub, Yeonhwa Jo, & Won Kyong Cho. (2014). Evolution of endogenous non-retroviral genes integrated into plant genomes. Current Plant Biology. 1. 55–59. 16 indexed citations
15.
Chu, Hyosub, et al.. (2011). Elastin-like polypeptide matrices for enhancing adeno-associated virus-mediated gene delivery to human neural stem cells. Gene Therapy. 19(3). 329–337. 21 indexed citations
16.
Rim, Yeonggil, Lijun Huang, Hyosub Chu, et al.. (2011). Analysis of Arabidopsis Transcription Factor Families Revealed Extensive Capacity for Cell-to-Cell Movement as Well as Discrete Trafficking Patterns. Molecules and Cells. 32(6). 519–526. 42 indexed citations
17.
Jo, Yeonhwa, Won Kyong Cho, Yeonggil Rim, et al.. (2010). Plasmodesmal receptor-like kinases identified through analysis of rice cell wall extracted proteins. PROTOPLASMA. 248(1). 191–203. 46 indexed citations
18.
Cho, Won Kyong, Xiong‐Yan Chen, Yeonggil Rim, et al.. (2010). Proteome study of the phloem sap of pumpkin using multidimensional protein identification technology. Journal of Plant Physiology. 167(10). 771–778. 17 indexed citations
19.
Cho, Won Kyong, Xiong‐Yan Chen, Yeonggil Rim, et al.. (2009). Comprehensive proteome analysis of lettuce latex using multidimensional protein-identification technology. Phytochemistry. 70(5). 570–578. 27 indexed citations
20.
Cho, Won Kyong, Hyosub Chu, Yeonggil Rim, et al.. (2009). Proteomic analysis of the secretome of rice calli. Physiologia Plantarum. 135(4). 331–341. 54 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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