Seri Jo

1.2k total citations · 1 hit paper
14 papers, 928 citations indexed

About

Seri Jo is a scholar working on Computational Theory and Mathematics, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Seri Jo has authored 14 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Theory and Mathematics, 5 papers in Infectious Diseases and 4 papers in Molecular Biology. Recurrent topics in Seri Jo's work include Computational Drug Discovery Methods (6 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Burkholderia infections and melioidosis (3 papers). Seri Jo is often cited by papers focused on Computational Drug Discovery Methods (6 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Burkholderia infections and melioidosis (3 papers). Seri Jo collaborates with scholars based in South Korea and United States. Seri Jo's co-authors include Dong Hae Shin, Suwon Kim, Mi Sun Kim, Mi Sun Kim, Dae-Yong Kim, Hwa Young Kim, Mi-Sun Kim, Misun Kim, Kyunglim Lee and R. Insa and has published in prestigious journals such as Biochemical Journal, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Seri Jo

13 papers receiving 904 citations

Hit Papers

Inhibition of SARS-CoV 3CL protease by flavonoids 2019 2026 2021 2023 2019 100 200 300 400 500

Peers

Seri Jo
Seri Jo
Citations per year, relative to Seri Jo Seri Jo (= 1×) peers Anshul Shakya

Countries citing papers authored by Seri Jo

Since Specialization
Citations

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

Fields of papers citing papers by Seri Jo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seri Jo

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

All Works

14 of 14 papers shown
1.
Jo, Seri, et al.. (2023). A tryptophan-based assay method to search regulatory compounds for transcriptionally controlled tumor protein. Biochemical and Biophysical Research Communications. 692. 149363–149363.
2.
Jo, Seri, et al.. (2023). Amentoflavone, a potent natural matrix metalloproteinase 2 inhibitor. Natural Product Research. 39(5). 1073–1080. 1 indexed citations
3.
Jo, Seri, Hwa Young Kim, Dong Hae Shin, & Misun Kim. (2022). Dimerization Tendency of 3CLpros of Human Coronaviruses Based on the X-ray Crystal Structure of the Catalytic Domain of SARS-CoV-2 3CLpro. International Journal of Molecular Sciences. 23(9). 5268–5268. 6 indexed citations
4.
Jo, Seri, Suwon Kim, Mi-Sun Kim, et al.. (2022). A Study of Drug Repurposing to Identify SARS-CoV-2 Main Protease (3CLpro) Inhibitors. International Journal of Molecular Sciences. 23(12). 6468–6468. 2 indexed citations
5.
Kim, Suwon, Seri Jo, Mi Sun Kim, & Dong Hae Shin. (2021). A study of inhibitors of d-glycero-β-d-manno-heptose-1-phosphate adenylyltransferase from Burkholderia pseudomallei as a potential antibiotic target. Journal of Enzyme Inhibition and Medicinal Chemistry. 36(1). 776–784. 4 indexed citations
6.
Jo, Seri, et al.. (2021). A Study of 3CLpros as Promising Targets against SARS-CoV and SARS-CoV-2. Microorganisms. 9(4). 756–756. 7 indexed citations
8.
Jo, Seri, Suwon Kim, Dae-Yong Kim, Mi Sun Kim, & Dong Hae Shin. (2020). Flavonoids with inhibitory activity against SARS-CoV-2 3CLpro. Journal of Enzyme Inhibition and Medicinal Chemistry. 35(1). 1539–1544. 124 indexed citations
9.
Jo, Seri, Suwon Kim, Dong Hae Shin, & Mi Sun Kim. (2020). Inhibition of African swine fever virus protease by myricetin and myricitrin. Journal of Enzyme Inhibition and Medicinal Chemistry. 35(1). 1045–1049. 29 indexed citations
10.
Kim, Suwon, Seri Jo, Mi-Sun Kim, & Dong Hae Shin. (2020). A study of Rose Bengal against a 2-keto-3-deoxy-d-manno-octulosonate cytidylyltransferase as an antibiotic candidate. Journal of Enzyme Inhibition and Medicinal Chemistry. 35(1). 1414–1421. 3 indexed citations
11.
Kim, Suwon, Seri Jo, Mi Sun Kim, & Dong Hae Shin. (2019). A Study of a Potent Inhibitor Against a GDP-6-Deoxy-α- d - Manno -Heptose Biosynthesis Pathway as Antibiotic Candidates. Microbial Drug Resistance. 26(4). 385–390. 5 indexed citations
12.
Jo, Seri, et al.. (2019). Characteristics of flavonoids as potent MERS‐CoV 3C‐like protease inhibitors. Chemical Biology & Drug Design. 94(6). 2023–2030. 199 indexed citations
13.
Jo, Seri, Suwon Kim, Dong Hae Shin, & Mi Sun Kim. (2019). Inhibition of SARS-CoV 3CL protease by flavonoids. Journal of Enzyme Inhibition and Medicinal Chemistry. 35(1). 145–151. 530 indexed citations breakdown →
14.
Kim, Suwon, Mi Sun Kim, Seri Jo, & Dong Hae Shin. (2019). GTP Preference of d-Glycero-α-d-manno-Heptose-1-Phosphate Guanylyltransferase from Yersinia pseudotuberculosis. International Journal of Molecular Sciences. 21(1). 280–280. 14 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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