Ji‐Seung Yoo

2.1k total citations
26 papers, 1.5k citations indexed

About

Ji‐Seung Yoo is a scholar working on Infectious Diseases, Molecular Biology and Immunology. According to data from OpenAlex, Ji‐Seung Yoo has authored 26 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 10 papers in Molecular Biology and 9 papers in Immunology. Recurrent topics in Ji‐Seung Yoo's work include interferon and immune responses (8 papers), Viral Infections and Vectors (8 papers) and Mosquito-borne diseases and control (7 papers). Ji‐Seung Yoo is often cited by papers focused on interferon and immune responses (8 papers), Viral Infections and Vectors (8 papers) and Mosquito-borne diseases and control (7 papers). Ji‐Seung Yoo collaborates with scholars based in South Korea, Japan and United States. Ji‐Seung Yoo's co-authors include Takashi Fujita, Kyoung‐Jin Jang, Hiroki Kato, Baohui Zhu, Koji Onomoto, Mitsutoshi Yoneyama, Jae U. Jung, Shiho Morimoto, Hideo Namiki and Ryota Ouda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Ji‐Seung Yoo

25 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ji‐Seung Yoo South Korea 19 728 583 560 211 197 26 1.5k
Cindy Chiang United States 20 625 0.9× 827 1.4× 539 1.0× 313 1.5× 312 1.6× 26 1.6k
Yaoxing Wu China 19 693 1.0× 617 1.1× 507 0.9× 329 1.6× 389 2.0× 35 1.5k
Yasuo Ariumi Japan 25 1000 1.4× 483 0.8× 341 0.6× 68 0.3× 419 2.1× 59 1.9k
Olivier Terrier France 24 549 0.8× 324 0.6× 715 1.3× 90 0.4× 717 3.6× 55 1.8k
Chia-Yi Yu Taiwan 19 444 0.6× 422 0.7× 651 1.2× 673 3.2× 279 1.4× 37 1.5k
Dumith Chequer Bou‐Habib Brazil 24 623 0.9× 681 1.2× 568 1.0× 350 1.7× 428 2.2× 58 2.1k
Xianwen Zhang China 15 668 0.9× 403 0.7× 1.9k 3.3× 250 1.2× 219 1.1× 49 2.5k
Craig W. Day United States 19 332 0.5× 263 0.5× 673 1.2× 202 1.0× 373 1.9× 30 1.5k
Olivia Perwitasari United States 14 554 0.8× 1.1k 1.9× 612 1.1× 184 0.9× 820 4.2× 15 1.9k

Countries citing papers authored by Ji‐Seung Yoo

Since Specialization
Citations

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

Fields of papers citing papers by Ji‐Seung Yoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji‐Seung Yoo

This figure shows the co-authorship network connecting the top 25 collaborators of Ji‐Seung Yoo. A scholar is included among the top collaborators of Ji‐Seung Yoo 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 Ji‐Seung Yoo. Ji‐Seung Yoo 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.
Yoo, Ji‐Seung, et al.. (2025). Dysregulated immune cell responses in severe dengue pathogenesis. Frontiers in Immunology. 16. 1600999–1600999.
2.
Choi, Un Yung, Youn Jung Choi, Shin-Ae Lee, & Ji‐Seung Yoo. (2024). Cisd2 deficiency impairs neutrophil function by regulating calcium homeostasis via Calnexin and SERCA. BMB Reports. 57(5). 256–261. 3 indexed citations
3.
Yaffe, Yakey, Nofit Borenstein‐Auerbach, Ben M. Maoz, et al.. (2024). Numb-associated kinases regulate sandfly-borne Toscana virus entry. Emerging Microbes & Infections. 13(1). 2382237–2382237. 1 indexed citations
4.
Kim, Hyunjoon, Se‐Mi Kim, Ji‐Seung Yoo, et al.. (2024). The host protease KLK5 primes and activates spike proteins to promote human betacoronavirus replication and lung inflammation. Science Signaling. 17(850). eadn3785–eadn3785. 1 indexed citations
5.
Kim, Eun-Ha, Ba-Wool Lee, Byeol Ryu, et al.. (2022). Inhibition of a broad range of SARS-CoV-2 variants by antiviral phytochemicals in hACE2 mice. Antiviral Research. 204. 105371–105371. 4 indexed citations
6.
Zhu, Baohui, et al.. (2021). Innate immune sensing of coronavirus and viral evasion strategies. Experimental & Molecular Medicine. 53(5). 723–736. 152 indexed citations
7.
Yoo, Ji‐Seung, Michihito Sasaki, Steven Cho, et al.. (2021). SARS-CoV-2 inhibits induction of the MHC class I pathway by targeting the STAT1-IRF1-NLRC5 axis. Nature Communications. 12(1). 6602–6602. 105 indexed citations
8.
Choi, Un Yung, Jae Jin Lee, Angela Park, et al.. (2020). Oncogenic human herpesvirus hijacks proline metabolism for tumorigenesis. Proceedings of the National Academy of Sciences. 117(14). 8083–8093. 47 indexed citations
9.
Sp, Nipin, et al.. (2020). Tannic Acid Inhibits Non-small Cell Lung Cancer (NSCLC) Stemness by Inducing G0/G1 Cell Cycle Arrest and Intrinsic Apoptosis. Anticancer Research. 40(6). 3209–3220. 45 indexed citations
10.
Wang, Wenjie, Woo-Jin Shin, Bojie Zhang, et al.. (2020). The Cap-Snatching SFTSV Endonuclease Domain Is an Antiviral Target. Cell Reports. 30(1). 153–163.e5. 28 indexed citations
11.
Kang, Dong Young, Nipin Sp, Dae Young Hong, et al.. (2020). The Inhibitory Mechanisms of Tumor PD-L1 Expression by Natural Bioactive Gallic Acid in Non-Small-Cell Lung Cancer (NSCLC) Cells. Cancers. 12(3). 727–727. 72 indexed citations
12.
Choi, Younho, Su‐Jin Park, Yinyan Sun, et al.. (2018). Severe fever with thrombocytopenia syndrome phlebovirus non-structural protein activates TPL2 signalling pathway for viral immunopathogenesis. Nature Microbiology. 4(3). 429–437. 58 indexed citations
13.
Foo, Suan‐Sin, Weiqiang Chen, Yen Chan, et al.. (2017). Asian Zika virus strains target CD14+ blood monocytes and induce M2-skewed immunosuppression during pregnancy. Nature Microbiology. 2(11). 1558–1570. 114 indexed citations
14.
Yoo, Ji‐Seung, Hiroki Kato, & Takashi Fujita. (2014). Sensing viral invasion by RIG-I like receptors. Current Opinion in Microbiology. 20. 131–138. 88 indexed citations
15.
Yoo, Ji‐Seung, Kiyohiro Takahasi, Chen Seng Ng, et al.. (2014). DHX36 Enhances RIG-I Signaling by Facilitating PKR-Mediated Antiviral Stress Granule Formation. PLoS Pathogens. 10(3). e1004012–e1004012. 127 indexed citations
16.
Ng, Chen Seng, Ji‐Seung Yoo, Koji Onomoto, et al.. (2013). Encephalomyocarditis Virus Disrupts Stress Granules, the Critical Platform for Triggering Antiviral Innate Immune Responses. Journal of Virology. 87(17). 9511–9522. 123 indexed citations
17.
Onomoto, Koji, Ji‐Seung Yoo, Ryo Narita, et al.. (2012). Correction: Critical Role of an Antiviral Stress Granule Containing RIG-I and PKR in Viral Detection and Innate Immunity. PLoS ONE. 7(10). 52 indexed citations
18.
Onomoto, Koji, Ji‐Seung Yoo, Ryo Narita, et al.. (2012). Critical Role of an Antiviral Stress Granule Containing RIG-I and PKR in Viral Detection and Innate Immunity. PLoS ONE. 7(8). e43031–e43031. 289 indexed citations
20.
Yoo, Ji‐Seung, et al.. (2007). Biochemical characterization of a recombinant Japanese encephalitis virus RNA-dependent RNA polymerase. BMC Molecular Biology. 8(1). 59–59. 34 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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