Gahee Bahn

996 total citations
12 papers, 538 citations indexed

About

Gahee Bahn is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Gahee Bahn has authored 12 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Physiology and 4 papers in Cancer Research. Recurrent topics in Gahee Bahn's work include Genomics, phytochemicals, and oxidative stress (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Alzheimer's disease research and treatments (2 papers). Gahee Bahn is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Alzheimer's disease research and treatments (2 papers). Gahee Bahn collaborates with scholars based in South Korea, Singapore and United States. Gahee Bahn's co-authors include Dong‐Gyu Jo, Jin Su Park, Ui Jeong Yun, Yuri Choi, Bo Youn Choi, Jihoon Han, Hark Kyun Kim, Thiruma V. Arumugam, Seung Hyun Baek and Jae Hoon Sul and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Gahee Bahn

11 papers receiving 535 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gahee Bahn South Korea 8 261 114 97 84 56 12 538
A‐Ryeong Gwon South Korea 13 295 1.1× 263 2.3× 87 0.9× 81 1.0× 27 0.5× 17 711
Woo‐In Ryu South Korea 10 162 0.6× 151 1.3× 28 0.3× 42 0.5× 34 0.6× 16 485
Yun Dong China 10 256 1.0× 62 0.5× 53 0.5× 19 0.2× 22 0.4× 18 621
Kang Qian China 14 326 1.2× 227 2.0× 149 1.5× 94 1.1× 26 0.5× 31 835
Huiping Long China 7 171 0.7× 72 0.6× 60 0.6× 72 0.9× 7 0.1× 9 476
Mehdi Sanati Iran 15 238 0.9× 116 1.0× 123 1.3× 81 1.0× 24 0.4× 35 600
Yingjia Yao China 14 333 1.3× 144 1.3× 52 0.5× 15 0.2× 20 0.4× 22 622
Yu‐Mi Jeon South Korea 16 276 1.1× 135 1.2× 61 0.6× 73 0.9× 10 0.2× 28 693
Daohua Xu China 17 550 2.1× 86 0.8× 54 0.6× 21 0.3× 14 0.3× 39 948
Yanfei Han China 13 222 0.9× 89 0.8× 61 0.6× 49 0.6× 11 0.2× 27 673

Countries citing papers authored by Gahee Bahn

Since Specialization
Citations

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

Fields of papers citing papers by Gahee Bahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gahee Bahn

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

All Works

12 of 12 papers shown
2.
Lee, Jinyong, et al.. (2023). Drug–Target Interaction Deep Learning-Based Model Identifies the Flavonoid Troxerutin as a Candidate TRPV1 Antagonist. Applied Sciences. 13(9). 5617–5617. 7 indexed citations
3.
Bahn, Gahee, Jong Sung Park, Ui Jeong Yun, et al.. (2019). NRF2/ARE pathway negatively regulates BACE1 expression and ameliorates cognitive deficits in mouse Alzheimer’s models. Proceedings of the National Academy of Sciences. 116(25). 12516–12523. 171 indexed citations
4.
Bahn, Gahee & Dong‐Gyu Jo. (2019). Therapeutic Approaches to Alzheimer’s Disease Through Modulation of NRF2. NeuroMolecular Medicine. 21(1). 1–11. 99 indexed citations
5.
Song, No‐Joon, Gahee Bahn, Ui Jeong Yun, et al.. (2018). Atf3 induction is a therapeutic target for obesity and metabolic diseases. Biochemical and Biophysical Research Communications. 504(4). 903–908. 18 indexed citations
6.
Choi, Bo Youn, Yuri Choi, Jong Sung Park, et al.. (2018). Inhibition of Notch1 induces population and suppressive activity of regulatory T cell in inflammatory arthritis. Theranostics. 8(17). 4795–4804. 23 indexed citations
7.
Song, No‐Joon, Gahee Bahn, Yuri Choi, et al.. (2018). Sulfuretin Prevents Obesity and Metabolic Diseases in Diet Induced Obese Mice. Biomolecules & Therapeutics. 27(1). 107–116. 15 indexed citations
8.
Baek, Seung Hyun, Bo Youn Choi, Yoonsuk Cho, et al.. (2016). P1‐086: The Drug TG Reducing Bace1 Expression Level and Preventing Cognitive Impairment in Alzheimer's Disease Mice. Alzheimer s & Dementia. 12(7S_Part_9). 1 indexed citations
9.
Cho, Yoonsuk, Gahee Bahn, Bo Youn Choi, et al.. (2016). P2‐130: The Interaction between Notch‐1 and Hif‐1A Promotes Ischemic Neuronal Death. Alzheimer s & Dementia. 12(7S_Part_13). 1 indexed citations
10.
Kim, Min Ju, Jong Sung Park, So Jin Lee, et al.. (2015). Notch1 targeting siRNA delivery nanoparticles for rheumatoid arthritis therapy. Journal of Controlled Release. 216. 140–148. 102 indexed citations
11.
Some, Surajit, A‐Ryeong Gwon, Eunhee Hwang, et al.. (2014). Cancer Therapy Using Ultrahigh Hydrophobic Drug-Loaded Graphene Derivatives. Scientific Reports. 4(1). 6314–6314. 100 indexed citations
12.
Wedner, H. James, et al.. (1981). Glutathione protein di sulfide interchange a possible control mechanism in lymphocyte activation. 2. 1082. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026