Rak-Kyun Seong

536 total citations
11 papers, 421 citations indexed

About

Rak-Kyun Seong is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, Rak-Kyun Seong has authored 11 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 5 papers in Epidemiology and 5 papers in Immunology. Recurrent topics in Rak-Kyun Seong's work include interferon and immune responses (5 papers), Viral Infections and Vectors (5 papers) and Mosquito-borne diseases and control (4 papers). Rak-Kyun Seong is often cited by papers focused on interferon and immune responses (5 papers), Viral Infections and Vectors (5 papers) and Mosquito-borne diseases and control (4 papers). Rak-Kyun Seong collaborates with scholars based in South Korea, Japan and United States. Rak-Kyun Seong's co-authors include Ok Sarah Shin, Ji-Ae Kim, Mukesh Kumar, Young Ki Choi, Sang Wook Son, Jae Kyung Lee, Jae Kwan Lee, Geum Joon Cho, Jae Min Song and Neil V. Morgan and has published in prestigious journals such as Scientific Reports, Journal of Investigative Dermatology and Viruses.

In The Last Decade

Rak-Kyun Seong

11 papers receiving 417 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rak-Kyun Seong South Korea 11 145 126 120 109 107 11 421
Bastian Thaa Sweden 10 233 1.6× 197 1.6× 246 2.0× 85 0.8× 62 0.6× 13 546
Jia-Rong Jheng Taiwan 12 160 1.1× 256 2.0× 71 0.6× 89 0.8× 152 1.4× 16 639
Alan Brito Carneiro Brazil 13 72 0.5× 207 1.6× 161 1.3× 139 1.3× 207 1.9× 20 585
Murali Aarthy India 11 122 0.8× 160 1.3× 171 1.4× 31 0.3× 61 0.6× 23 444
Irma Herrera‐Camacho Mexico 12 114 0.8× 172 1.4× 65 0.5× 106 1.0× 89 0.8× 38 510
Deyan Chen China 14 166 1.1× 290 2.3× 75 0.6× 205 1.9× 177 1.7× 35 716
Elisa Fanunza Italy 12 178 1.2× 79 0.6× 72 0.6× 68 0.6× 61 0.6× 16 320
Ji-Ae Kim South Korea 10 117 0.8× 75 0.6× 105 0.9× 98 0.9× 105 1.0× 11 351
Xiaoen He China 10 128 0.9× 112 0.9× 58 0.5× 29 0.3× 128 1.2× 18 390

Countries citing papers authored by Rak-Kyun Seong

Since Specialization
Citations

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

Fields of papers citing papers by Rak-Kyun Seong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rak-Kyun Seong. 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 Rak-Kyun Seong. The network helps show where Rak-Kyun Seong may publish in the future.

Co-authorship network of co-authors of Rak-Kyun Seong

This figure shows the co-authorship network connecting the top 25 collaborators of Rak-Kyun Seong. A scholar is included among the top collaborators of Rak-Kyun Seong 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 Rak-Kyun Seong. Rak-Kyun Seong 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.
Seong, Rak-Kyun, Jae Kwan Lee, Geum Joon Cho, Mukesh Kumar, & Ok Sarah Shin. (2020). mRNA and miRNA profiling of Zika virus-infected human umbilical cord mesenchymal stem cells identifies miR-142-5p as an antiviral factor. Emerging Microbes & Infections. 9(1). 2061–2075. 29 indexed citations
2.
Seong, Rak-Kyun, Jae Kyung Lee, & Ok Sarah Shin. (2020). Zika Virus-Induction of the Suppressor of Cytokine Signaling 1/3 Contributes to the Modulation of Viral Replication. Pathogens. 9(3). 163–163. 30 indexed citations
3.
Khan, Adnan, Ok Sarah Shin, Jang‐Kyo Kim, et al.. (2019). A Systems Vaccinology Approach Reveals the Mechanisms of Immunogenic Responses to Hantavax Vaccination in Humans. Scientific Reports. 9(1). 4760–4760. 21 indexed citations
4.
Kim, Ji-Ae, Rak-Kyun Seong, Sang Wook Son, & Ok Sarah Shin. (2018). Insights into ZIKV-Mediated Innate Immune Responses in Human Dermal Fibroblasts and Epidermal Keratinocytes. Journal of Investigative Dermatology. 139(2). 391–399. 42 indexed citations
5.
Kim, Ji-Ae, Rak-Kyun Seong, Mukesh Kumar, & Ok Sarah Shin. (2018). Favipiravir and Ribavirin Inhibit Replication of Asian and African Strains of Zika Virus in Different Cell Models. Viruses. 10(2). 72–72. 66 indexed citations
7.
Seong, Rak-Kyun, Ji-Ae Kim, Sarah J. Fletcher, et al.. (2017). Schlafen 14 (SLFN14) is a novel antiviral factor involved in the control of viral replication. Immunobiology. 222(11). 979–988. 34 indexed citations
8.
Kim, Ji-Ae, Rak-Kyun Seong, & Ok Sarah Shin. (2016). Enhanced Viral Replication by Cellular Replicative Senescence. Immune Network. 16(5). 286–286. 59 indexed citations
9.
Seong, Rak-Kyun, Young Ki Choi, & Ok Sarah Shin. (2016). MDA7/IL-24 is an anti-viral factor that inhibits influenza virus replication. The Journal of Microbiology. 54(10). 695–700. 19 indexed citations
10.
Seong, Rak-Kyun, et al.. (2016). Oligonol promotes anti-aging pathwaysviamodulation of SIRT1-AMPK-Autophagy Pathway. Nutrition Research and Practice. 10(1). 3–3. 30 indexed citations
11.
Park, Su-Jin, Mukesh Kumar, Hyeok-il Kwon, et al.. (2015). Dynamic changes in host gene expression associated with H5N8 avian influenza virus infection in mice. Scientific Reports. 5(1). 16512–16512. 38 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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