Young Joo Oh

696 total citations
9 papers, 573 citations indexed

About

Young Joo Oh is a scholar working on Immunology, Clinical Biochemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Young Joo Oh has authored 9 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Clinical Biochemistry and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Young Joo Oh's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Immune Response and Inflammation (5 papers) and Advanced Glycation End Products research (4 papers). Young Joo Oh is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Immune Response and Inflammation (5 papers) and Advanced Glycation End Products research (4 papers). Young Joo Oh collaborates with scholars based in South Korea, Croatia and Japan. Young Joo Oh's co-authors include Jeon‐Soo Shin, Ju Ho Youn, Ji Eun Choi, Eun‐Sook Kim, Sang Eun Lee, Kook Jin Lim, Makoto Inoue, Tomohiro Arikawa, Yasuhiro Moriwaki and Timothy N. Oliver and has published in prestigious journals such as Journal of Neuroscience, The Journal of Immunology and Experimental Neurology.

In The Last Decade

Young Joo Oh

8 papers receiving 564 citations

Peers

Young Joo Oh

CB

IMMUN

MB

EPIDE

NEURO

Annette Seibt Germany

Emmanuel Scalais Belgium

Marjolein Turkenburg Netherlands

Amira Othman United States

Koichiro Fukuzaki Japan

Cédric Dewas France

Jutamas Suwanpradid United States

Yanyan Ma China

Anusha Angajala United States

Nora Raulien Germany

Annette Seibt Germany

Young Joo Oh

110 ×0.4

CB

90 ×0.3

IMMUN

325 ×1.7

MB

74 ×1.5

EPIDE

98 ×2.0

NEURO

Citations per year, relative to Young Joo Oh Young Joo Oh (= 1×) peers Annette Seibt

Countries citing papers authored by Young Joo Oh

Since Specialization

Citations

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

Fields of papers citing papers by Young Joo Oh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young Joo Oh. 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 Young Joo Oh. The network helps show where Young Joo Oh may publish in the future.

Co-authorship network of co-authors of Young Joo Oh

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

All Works

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9 of 9 papers shown

1.

Kwon, Min, Hana Cho, Young Joo Oh, et al.. (2022). Nanogel-mediated delivery of oncomodulin secreted from regeneration-associated macrophages promotes sensory axon regeneration in the spinal cord. Theranostics. 12(13). 5856–5876. 11 indexed citations

2.

Kwon, Min, Eun Mi Lee, Kyung Kim, et al.. (2020). Role ofMycProto-Oncogene as a Transcriptional Hub to Regulate the Expression of Regeneration-Associated Genes following Preconditioning Peripheral Nerve Injury. Journal of Neuroscience. 41(3). 446–460. 21 indexed citations

3.

Kim, Kyung, Min Kwon, Young Joo Oh, et al.. (2020). Alteration in global DNA methylation status following preconditioning injury influences axon growth competence of the sensory neurons. Experimental Neurology. 326. 113177–113177. 11 indexed citations

4.

Oh, Young Joo, et al.. (2011). CKD712, (S)-1-(α-naphthylmethyl)-6,7-dihydroxy-1,2,3,4-tetrahydroisoquinoline, inhibits the lipopolysaccharide-stimulated secretion of HMGB1 by inhibiting PI3K and classical protein kinase C. International Immunopharmacology. 11(9). 1160–1165. 19 indexed citations

5.

Inoue, Makoto, Yasuhiro Moriwaki, Tomohiro Arikawa, et al.. (2010). Cutting Edge: Critical Role of Intracellular Osteopontin in Antifungal Innate Immune Responses. The Journal of Immunology. 186(1). 19–23. 44 indexed citations

6.

Oh, Young Joo, Ju Ho Youn, Sang Eun Lee, et al.. (2009). HMGB1 Is Phosphorylated by Classical Protein Kinase C and Is Secreted by a Calcium-Dependent Mechanism. The Journal of Immunology. 182(9). 5800–5809. 153 indexed citations

7.

Youn, Ju Ho, Young Joo Oh, Eun‐Sook Kim, Ji Eun Choi, & Jeon‐Soo Shin. (2008). High mobility group box 1 protein binding to lipopolysaccharide facilitates transfer of lipopolysaccharide to CD14 and enhances lipopolysaccharide-mediated TNF-alpha production in human monocytes.. 180(7). 5067–5074. 91 indexed citations

8.

Youn, Ju Ho, Young Joo Oh, Eun‐Sook Kim, Ji Eun Choi, & Jeon‐Soo Shin. (2008). High Mobility Group Box 1 Protein Binding to Lipopolysaccharide Facilitates Transfer of Lipopolysaccharide to CD14 and Enhances Lipopolysaccharide-Mediated TNF-α Production in Human Monocytes. The Journal of Immunology. 180(7). 5067–5074. 223 indexed citations

9.

Oh, Young Joo, Ju Ho Youn, & Jeon‐Soo Shin. (2007). HMGB1 secretion is regulated by protein kinase C (89.26). The Journal of Immunology. 178(1_Supplement). S153–S154.

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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