Seunghee Yoon

1.6k total citations · 1 hit paper
10 papers, 1.2k citations indexed

About

Seunghee Yoon is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Seunghee Yoon has authored 10 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Cell Biology. Recurrent topics in Seunghee Yoon's work include Protein Kinase Regulation and GTPase Signaling (5 papers), Melanoma and MAPK Pathways (5 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Seunghee Yoon is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (5 papers), Melanoma and MAPK Pathways (5 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Seunghee Yoon collaborates with scholars based in South Korea, Israel and United States. Seunghee Yoon's co-authors include Rony Seger, Jong‐In Park, Seung‐Keun Hong, Dumrongkiet Arthan, Soo‐Yong Lee, Dong‐Hyun Kim, Young Sook Yoo, Kyung‐Hee Kim, Yeong-Shik Kim and Jin H. Son and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Chromatography A.

In The Last Decade

Seunghee Yoon

9 papers receiving 1.2k citations

Hit Papers

The extracellular signal-regulated kinase: Multiple subst... 2006 2026 2012 2019 2006 250 500 750
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.

  1. The extracellular signal-regulated kinase: Multiple substrates regulate diverse cellular functions
    2006 989 citations Seunghee Yoon, Rony Seger Growth Factors profile →

Peers

Seunghee Yoon
Hye Shin Lee South Korea
Jessica K. Gagnon United States
Stephan P. Tenbaum Spain
Galia Maik-Rachline Israel
Renae K. Barr Australia
Boris J. Cheskis United States
Edita Aksamitiene United States
Penggao Dai China
Hongguang Pan United States
Young Chul Yang United States
Hye Shin Lee South Korea
Seunghee Yoon
Citations per year, relative to Seunghee Yoon Seunghee Yoon (= 1×) peers Hye Shin Lee

Countries citing papers authored by Seunghee Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Seunghee Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seunghee Yoon

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

All Works

10 of 10 papers shown
1.
Moon, Hee-Jung & Seunghee Yoon. (2020). A Study on the Occupational Image of the Undergraduates Majoring in Airline Service for The Flight Attendant: Q-methodological approach. Journal of Tourism and Leisure Research. 32(12). 241–258.
2.
Wu, Pui–Kei, Seung‐Keun Hong, Seunghee Yoon, & Jong‐In Park. (2015). Active ERK2 is sufficient to mediate growth arrest and differentiation signaling. FEBS Journal. 282(6). 1017–1030. 17 indexed citations
3.
Kim, Kyung‐Hee, et al.. (2012). Rescue of PINK1 Protein Null-specific Mitochondrial Complex IV Deficits by Ginsenoside Re Activation of Nitric Oxide Signaling. Journal of Biological Chemistry. 287(53). 44109–44120. 39 indexed citations
4.
Yao, Zhong, Seunghee Yoon, Eyal Kalie, Ziv Raviv, & Rony Seger. (2010). Calcium Regulation of EGF-Induced ERK5 Activation: Role of Lad1-MEKK2 Interaction. PLoS ONE. 5(9). e12627–e12627. 17 indexed citations
5.
Hong, Seung‐Keun, et al.. (2009). Noncatalytic Function of ERK1/2 Can Promote Raf/MEK/ERK-mediated Growth Arrest Signaling. Journal of Biological Chemistry. 284(48). 33006–33018. 73 indexed citations
6.
Yoon, Seunghee & Rony Seger. (2006). The extracellular signal-regulated kinase: Multiple substrates regulate diverse cellular functions. Growth Factors. 24(1). 21–44. 989 indexed citations breakdown →
7.
Lee, Soo‐Yong, Seunghee Yoon, & Dong‐Hyun Kim. (2006). A high nuclear basal level of ERK2 phosphorylation contributes to the resistance of cisplatin-resistant human ovarian cancer cells. Gynecologic Oncology. 104(2). 338–344. 40 indexed citations
8.
9.
Yoon, Seunghee, Rony Seger, Eui‐Ju Choi, & Young Sook Yoo. (2004). SB203580 Induces Prolonged B-Raf Activation and Promotes Neuronal Differentiation upon EGF Treatment of PC12 Cells. Biochemistry (Moscow). 69(7). 799–805. 3 indexed citations
10.

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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