Bo Ko Jang

976 total citations
10 papers, 553 citations indexed

About

Bo Ko Jang is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Bo Ko Jang has authored 10 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Neurology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Bo Ko Jang's work include Genomics, phytochemicals, and oxidative stress (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Tryptophan and brain disorders (2 papers). Bo Ko Jang is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Tryptophan and brain disorders (2 papers). Bo Ko Jang collaborates with scholars based in South Korea and Ethiopia. Bo Ko Jang's co-authors include Ki Duk Park, Dong Jin Kim, Jin‐Sung Choi, Seul Ki Yeon, Jaeick Lee, Se Hee Han, Onyou Hwang, Jong‐Hyun Park, Ae Nim Pae and Jin Woo Kim and has published in prestigious journals such as Journal of Medicinal Chemistry, British Journal of Pharmacology and Neuropharmacology.

In The Last Decade

Bo Ko Jang

10 papers receiving 549 citations

Peers

Bo Ko Jang

OC

MB

PHARM

NEURO

Catia Cornacchia Italy

Jong‐Hyun Park South Korea

Nibha Mishra India

Nuria Fraiz Spain

Ángel Cores Spain

Y. Kondou Japan

Akash Marathakam India

Gisella Terre’Blanche South Africa

Ulrike Thull Switzerland

Wang-Fun Fong Hong Kong

Catia Cornacchia Italy

Bo Ko Jang

125 ×0.5

OC

233 ×1.2

MB

100 ×1.1

PHARM

42 ×0.6

NEURO

57 ×1.2

NEURO

Citations per year, relative to Bo Ko Jang Bo Ko Jang (= 1×) peers Catia Cornacchia

Countries citing papers authored by Bo Ko Jang

Since Specialization

Citations

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

Fields of papers citing papers by Bo Ko Jang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bo Ko Jang. 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 Bo Ko Jang. The network helps show where Bo Ko Jang may publish in the future.

Co-authorship network of co-authors of Bo Ko Jang

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

All Works

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10 of 10 papers shown

1.

Choi, Ji‐Won, Kyung-Tae ‍Lee, Siwon Kim, et al.. (2021). Optimization and Evaluation of Novel Antifungal Agents for the Treatment of Fungal Infection. Journal of Medicinal Chemistry. 64(21). 15912–15935. 14 indexed citations

2.

Nam, Min‐Ho, Jong‐Hyun Park, Jin‐Sung Choi, et al.. (2021). KDS2010, a Newly Developed Reversible MAO-B Inhibitor, as an Effective Therapeutic Candidate for Parkinson's Disease. Neurotherapeutics. 18(3). 1729–1747. 27 indexed citations

3.

Kim, Dahee, Bokyung Kim, Ji‐Seok Han, et al.. (2020). Four-week repeated dose oral toxicity study of KDS2010, a novel selective monoamine oxidase B inhibitor, in Sprague Dawley rats. Regulatory Toxicology and Pharmacology. 117. 104733–104733. 3 indexed citations

4.

Kim, Siwon, Jong‐Hyun Park, Ha Eun Lee, et al.. (2020). Nrf2 activator via interference of Nrf2-Keap1 interaction has antioxidant and anti-inflammatory properties in Parkinson's disease animal model. Neuropharmacology. 167. 107989–107989. 88 indexed citations

5.

Kim, Hyeon Jeong, Bo Ko Jang, Jong‐Hyun Park, et al.. (2019). A novel chalcone derivative as Nrf2 activator attenuates learning and memory impairment in a scopolamine-induced mouse model. European Journal of Medicinal Chemistry. 185. 111777–111777. 33 indexed citations

6.

Yeon, Seul Ki, Ji Won Choi, Jong‐Hyun Park, et al.. (2017). Synthesis and evaluation of biaryl derivatives for structural characterization of selective monoamine oxidase B inhibitors toward Parkinson’s disease therapy. Bioorganic & Medicinal Chemistry. 26(1). 232–244. 28 indexed citations

7.

Yeon, Seul Ki, Jong‐Hyun Park, Ji Won Choi, et al.. (2016). Screening, Synthesis, and In Vitro Evaluation of Vinyl Sulfones as Inhibitors of Complement‐Dependent Cytotoxicity in Neuromyelitis Optica. ChemMedChem. 11(4). 377–381. 1 indexed citations

8.

Choi, Ji Won, Bo Ko Jang, Jong‐Hyun Park, et al.. (2015). Synthesis of a series of unsaturated ketone derivatives as selective and reversible monoamine oxidase inhibitors. Bioorganic & Medicinal Chemistry. 23(19). 6486–6496. 82 indexed citations

9.

Kim, Ji Hyun, Se Hee Han, Seul Ki Yeon, et al.. (2014). Discovery of Vinyl Sulfones as a Novel Class of Neuroprotective Agents toward Parkinson’s Disease Therapy. Journal of Medicinal Chemistry. 57(4). 1473–1487. 231 indexed citations

10.

Lee, Ji Ae, Ji Hyun Kim, Hyo Jin Son, et al.. (2014). A novel compound VSC2 has anti‐inflammatory and antioxidant properties in microglia and in Parkinson's disease animal model. British Journal of Pharmacology. 172(4). 1087–1100. 46 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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