Sungbong Shin

408 total citations
11 papers, 330 citations indexed

About

Sungbong Shin is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Sungbong Shin has authored 11 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 4 papers in Molecular Biology and 2 papers in Cell Biology. Recurrent topics in Sungbong Shin's work include Postharvest Quality and Shelf Life Management (6 papers), Plant Physiology and Cultivation Studies (6 papers) and Plant-Microbe Interactions and Immunity (3 papers). Sungbong Shin is often cited by papers focused on Postharvest Quality and Shelf Life Management (6 papers), Plant Physiology and Cultivation Studies (6 papers) and Plant-Microbe Interactions and Immunity (3 papers). Sungbong Shin collaborates with scholars based in United States, China and South Korea. Sungbong Shin's co-authors include Yanmin Zhu, Mark Mazzola, Maxim Golovkin, Anireddy S. N. Reddy, Gennaro Fazio, James P. Mattheis, Dorrie Main, Saiprasad G. Palusa, Dale N. Richardson and Ping Zheng and has published in prestigious journals such as Scientific Reports, New Phytologist and Postharvest Biology and Technology.

In The Last Decade

Sungbong Shin

11 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sungbong Shin United States 10 318 109 78 20 10 11 330
Randy G. Gardner United States 8 344 1.1× 136 1.2× 69 0.9× 19 0.9× 8 0.8× 16 353
Xuwei Duan China 10 288 0.9× 195 1.8× 36 0.5× 40 2.0× 5 0.5× 24 321
Robert Berkey United States 9 502 1.6× 218 2.0× 72 0.9× 7 0.3× 14 1.4× 10 566
Jibran Tahir New Zealand 10 222 0.7× 97 0.9× 27 0.3× 15 0.8× 6 0.6× 20 244
S. Stella Italy 4 361 1.1× 91 0.8× 55 0.7× 15 0.8× 5 0.5× 7 371
Alison Woods‐Tör United Kingdom 7 439 1.4× 150 1.4× 89 1.1× 7 0.3× 7 0.7× 9 484
R. Chiodini Italy 5 285 0.9× 141 1.3× 82 1.1× 50 2.5× 11 1.1× 5 307
Ullrich Herrmann Germany 5 332 1.0× 314 2.9× 45 0.6× 13 0.7× 7 0.7× 6 380
Jungen Kang China 11 379 1.2× 229 2.1× 74 0.9× 19 0.9× 2 0.2× 19 439
Houlin Yu United States 8 183 0.6× 64 0.6× 122 1.6× 16 0.8× 4 0.4× 18 227

Countries citing papers authored by Sungbong Shin

Since Specialization
Citations

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

Fields of papers citing papers by Sungbong Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sungbong Shin

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

All Works

11 of 11 papers shown
1.
Shin, Sungbong, et al.. (2016). Transcriptional Regulation of Auxin Metabolism and Ethylene Biosynthesis Activation During Apple (Malus × domestica) Fruit Maturation. Journal of Plant Growth Regulation. 35(3). 655–666. 24 indexed citations
2.
Shin, Sungbong, Ping Zheng, Gennaro Fazio, et al.. (2016). Transcriptome changes specifically associated with apple (Malus domestica) root defense response during Pythium ultimum infection. Physiological and Molecular Plant Pathology. 94. 16–26. 55 indexed citations
3.
Zhu, Yanmin, Sungbong Shin, & Mark Mazzola. (2016). Genotype responses of two apple rootstocks to infection by Pythium ultimum causing apple replant disease. Canadian Journal of Plant Pathology. 38(4). 483–491. 35 indexed citations
4.
5.
Shin, Sungbong, Jingyi Lv, Gennaro Fazio, Mark Mazzola, & Yanmin Zhu. (2014). Transcriptional regulation of ethylene and jasmonate mediated defense response in apple (Malus domestica) root during Pythium ultimum infection. Horticulture Research. 1(1). 14053–14053. 31 indexed citations
6.
Shin, Sungbong, Maxim Golovkin, & Anireddy S. N. Reddy. (2014). A pollen-specific calmodulin-binding protein, NPG1, interacts with putative pectate lyases. Scientific Reports. 4(1). 5263–5263. 16 indexed citations
7.
8.
Shin, Sungbong, et al.. (2013). Differential Suppression of Ethylene Biosynthesis and Receptor Genes in ‘Golden Delicious’ Apple by Preharvest and Postharvest 1-MCP Treatments. Journal of Plant Growth Regulation. 32(3). 585–595. 31 indexed citations
9.
Zhu, Yanmin, Ping Zheng, Sungbong Shin, et al.. (2012). Multiple plant hormones and cell wall metabolism regulate apple fruit maturation patterns and texture attributes. Tree Genetics & Genomes. 8(6). 1389–1406. 25 indexed citations
10.
Shin, Sungbong, et al.. (2011). Expression profiles of the MdACS3 gene suggest a function as an accelerator of apple (Malus×domestica) fruit ripening. Postharvest Biology and Technology. 62(2). 141–148. 28 indexed citations
11.
Palusa, Saiprasad G., Maxim Golovkin, Sungbong Shin, Dale N. Richardson, & Anireddy S. N. Reddy. (2007). Organ‐specific, developmental, hormonal and stress regulation of expression of putative pectate lyase genes in Arabidopsis. New Phytologist. 174(3). 537–550. 65 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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