Seung‐Shick Shin

1.5k total citations
40 papers, 984 citations indexed

About

Seung‐Shick Shin is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Seung‐Shick Shin has authored 40 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Seung‐Shick Shin's work include Neuroscience and Neuropharmacology Research (7 papers), Cancer-related Molecular Pathways (5 papers) and Photochromic and Fluorescence Chemistry (4 papers). Seung‐Shick Shin is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Cancer-related Molecular Pathways (5 papers) and Photochromic and Fluorescence Chemistry (4 papers). Seung‐Shick Shin collaborates with scholars based in South Korea, United States and Netherlands. Seung‐Shick Shin's co-authors include Suzie Chen, James S. Goydos, B. Wall, Jin Namkoong, Hwa Jin Lee, Yarí E. Marín, Byung‐Doo Hwang, Sung‐Kwon Moon, Wun‐Jae Kim and Jeffrey J. Martino and has published in prestigious journals such as Blood, PLoS ONE and Analytical Chemistry.

In The Last Decade

Seung‐Shick Shin

38 papers receiving 978 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seung‐Shick Shin South Korea 18 650 237 165 152 150 40 984
Jyotsnabaran Halder United States 14 654 1.0× 131 0.6× 119 0.7× 321 2.1× 194 1.3× 15 1.4k
Jia Yu China 15 982 1.5× 109 0.5× 68 0.4× 202 1.3× 136 0.9× 29 1.8k
Jin Namkoong United States 12 400 0.6× 170 0.7× 112 0.7× 97 0.6× 58 0.4× 21 613
Kai‐Ti Lin Taiwan 14 442 0.7× 76 0.3× 44 0.3× 124 0.8× 154 1.0× 22 841
Aurélie Perraud France 16 520 0.8× 108 0.5× 61 0.4× 447 2.9× 252 1.7× 28 1.1k
Mayank Srivastava United States 7 432 0.7× 44 0.2× 92 0.6× 98 0.6× 227 1.5× 8 999
Iman Azimi Australia 21 699 1.1× 140 0.6× 19 0.1× 137 0.9× 196 1.3× 40 1.3k
Federica Finetti Italy 18 499 0.8× 38 0.2× 49 0.3× 190 1.3× 180 1.2× 46 1.1k
Yawei Tang China 20 513 0.8× 91 0.4× 34 0.2× 115 0.8× 129 0.9× 43 1.0k
Wenbo Zhu China 22 739 1.1× 55 0.2× 30 0.2× 276 1.8× 315 2.1× 69 1.3k

Countries citing papers authored by Seung‐Shick Shin

Since Specialization
Citations

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

Fields of papers citing papers by Seung‐Shick Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seung‐Shick Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Seung‐Shick Shin. A scholar is included among the top collaborators of Seung‐Shick 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 Seung‐Shick Shin. Seung‐Shick Shin 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.
2.
Kim, Sung‐Hyun, et al.. (2023). Highly Sensitive Chip-Based Digital PCR Platform for Quantitative Detection of BCR::ABL1 Transcripts throughout CML Treatment. Blood. 142(Supplement 1). 1805–1805. 1 indexed citations
3.
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Bong, Ji-Hong, Hong‐Rae Kim, Jaeyong Jung, et al.. (2021). Switching-peptides for one-step immunoassay and its application to the diagnosis of human hepatitis B. Biosensors and Bioelectronics. 178. 112996–112996. 16 indexed citations
5.
Shin, Seung‐Shick, et al.. (2019). Hydrangenol suppresses VEGF-stimulated angiogenesis by targeting p27KIP1-dependent G1-cell cycle arrest, VEGFR-2-mediated signaling, and MMP-2 expression. Animal Cells and Systems. 23(2). 72–81. 14 indexed citations
6.
Shin, Seung‐Shick, Yu‐Jin Park, Byung‐Doo Hwang, et al.. (2019). Triacanthine exerts antitumor effects on bladder cancer in vitro and in vivo. Phytomedicine. 64. 153069–153069. 12 indexed citations
7.
Shin, Seung‐Shick, Myunggon Ko, Byung‐Doo Hwang, et al.. (2018). Morin inhibits PDGF-induced proliferation, migration, and invasion of vascular smooth muscle cells via modulating p27KIP1, AKT, and MMP-9 activities. General Physiology and Biophysics. 37(6). 633–645. 18 indexed citations
8.
Shin, Seung‐Shick, Byung‐Doo Hwang, Jo‐Won Lee, et al.. (2018). Inhibitory effect of Au@Pt-NSs on proliferation, migration, and invasion of EJ bladder carcinoma cells: involvement of cell cycle regulators, signaling pathways, and transcription factor-mediated MMP-9 expression. International Journal of Nanomedicine. Volume 13. 3295–3310. 9 indexed citations
9.
Shin, Seung‐Shick, et al.. (2017). Gluconacetobacter spp. 스타터로 발효한 콤부차의 생리활성. Journal of the Korean Society of Food Science and Nutrition. 46(7). 896–902. 1 indexed citations
10.
11.
Shin, Seung‐Shick, Sung‐Soo Park, Byung‐Doo Hwang, et al.. (2016). MicroRNA-892b influences proliferation, migration and invasion of bladder cancer cells by mediating the p19ARF/cyclin D1/CDK6 and Sp-1/MMP-9 pathways. Oncology Reports. 36(4). 2313–2320. 26 indexed citations
12.
Shin, Seung‐Shick, Sung‐Soo Park, Byung‐Doo Hwang, et al.. (2016). MicroRNA-106a suppresses proliferation, migration, and invasion of bladder cancer cells by modulating MAPK signaling cell cycle regulators, and Ets-1-mediated MMP-2 expression. Oncology Reports. 36(4). 2421–2429. 29 indexed citations
13.
Wen, Yu, Jiadong Li, Seung‐Shick Shin, et al.. (2014). Activation of the Glutamate Receptor GRM1 Enhances Angiogenic Signaling to Drive Melanoma Progression. Cancer Research. 74(9). 2499–2509. 44 indexed citations
14.
Krishnan, Harini, Yongquan Shen, Nimish K. Acharya, et al.. (2012). Plant Lectin Can Target Receptors Containing Sialic Acid, Exemplified by Podoplanin, to Inhibit Transformed Cell Growth and Migration. PLoS ONE. 7(7). e41845–e41845. 59 indexed citations
15.
Shin, Seung‐Shick, B. Wall, James S. Goydos, & Suzie Chen. (2009). AKT2 is a downstream target of metabotropic glutamate receptor 1 (Grm1). Pigment Cell & Melanoma Research. 23(1). 103–111. 41 indexed citations
16.
Shin, Seung‐Shick, et al.. (2008). Oncogenic activities of metabotropic glutamate receptor 1 (Grm1) in melanocyte transformation. Pigment Cell & Melanoma Research. 21(3). 368–378. 70 indexed citations
17.
Namkoong, Jin, Seung‐Shick Shin, Hwa Jin Lee, et al.. (2007). Metabotropic Glutamate Receptor 1 and Glutamate Signaling in Human Melanoma. Cancer Research. 67(5). 2298–2305. 159 indexed citations
18.
Nobuyama, Eitaku, Seung‐Shick Shin, & Toshiyuki KITAMORI. (2002). Deadbeat control of continuous-time systems: MIMO case. 2. 2110–2113. 6 indexed citations
19.
Shin, Seung‐Shick, et al.. (2001). THE DEGRADATION OF CHlTOSAN WITH THE AID OF LIPASE FROM RHIZOPUS JAPONICUS FOR THE PRODUCTION OF SOLUBLE CHlTOSAN. Journal of Food Biochemistry. 25(4). 307–321. 14 indexed citations
20.
Shin, Seung‐Shick, Young‐Choon Lee, & Chan Lee. (1997). The Chitosanolytic Activity of Commercial Food Grade Enzymes. Food Science and Biotechnology. 6(4). 265–269.

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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