Hyunsu Bae

10.0k total citations · 1 hit paper
277 papers, 8.3k citations indexed

About

Hyunsu Bae is a scholar working on Molecular Biology, Pharmacology and Physiology. According to data from OpenAlex, Hyunsu Bae has authored 277 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Molecular Biology, 74 papers in Pharmacology and 64 papers in Physiology. Recurrent topics in Hyunsu Bae's work include Healthcare and Venom Research (59 papers), Bee Products Chemical Analysis (25 papers) and Pain Mechanisms and Treatments (25 papers). Hyunsu Bae is often cited by papers focused on Healthcare and Venom Research (59 papers), Bee Products Chemical Analysis (25 papers) and Pain Mechanisms and Treatments (25 papers). Hyunsu Bae collaborates with scholars based in South Korea, United States and Japan. Hyunsu Bae's co-authors include Gihyun Lee, Hwan‐Suck Chung, Minkyu Shin, Moochang Hong, Moonkyu Kang, Sun Kwang Kim, Shoukat Parvez, Heidi E. Hamm, Byung-Il Min and Nikolai P. Skiba and has published in prestigious journals such as Science, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Hyunsu Bae

270 papers receiving 8.0k citations

Hit Papers

Molecular Basis for Interactions of G Protein βγ Subunits... 1998 2026 2007 2016 1998 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyunsu Bae South Korea 44 3.0k 1.6k 1.2k 1.1k 959 277 8.3k
Ki Won Lee South Korea 61 5.9k 2.0× 1.3k 0.8× 941 0.8× 1.2k 1.1× 660 0.7× 354 13.8k
Sun Yeou Kim South Korea 62 5.3k 1.8× 1.9k 1.2× 1.8k 1.4× 1.1k 1.0× 724 0.8× 428 13.1k
Sang‐Bae Han South Korea 57 5.4k 1.8× 2.3k 1.4× 928 0.8× 1.3k 1.2× 2.6k 2.7× 469 13.6k
Taeg Kyu Kwon South Korea 62 7.3k 2.4× 1.4k 0.9× 1.2k 0.9× 895 0.8× 1.8k 1.8× 398 13.4k
In Koo Hwang South Korea 49 3.3k 1.1× 838 0.5× 780 0.6× 1.7k 1.5× 450 0.5× 569 11.3k
Mustafa Nazıroğlu Türkiye 60 2.8k 0.9× 789 0.5× 559 0.5× 2.0k 1.8× 417 0.4× 304 11.5k
Masamitsu Shimazawa Japan 56 4.8k 1.6× 776 0.5× 458 0.4× 1.1k 1.0× 629 0.7× 382 11.2k
Chunfu Wu China 54 4.8k 1.6× 808 0.5× 464 0.4× 709 0.6× 750 0.8× 246 10.0k
Waldiceu A. Verri Brazil 64 3.9k 1.3× 1.4k 0.8× 842 0.7× 3.8k 3.4× 2.5k 2.6× 325 14.5k
Dong‐Kug Choi South Korea 54 4.2k 1.4× 1.2k 0.8× 1.0k 0.8× 1.6k 1.4× 789 0.8× 194 10.7k

Countries citing papers authored by Hyunsu Bae

Since Specialization
Citations

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

Fields of papers citing papers by Hyunsu Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyunsu Bae

This figure shows the co-authorship network connecting the top 25 collaborators of Hyunsu Bae. A scholar is included among the top collaborators of Hyunsu Bae 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 Hyunsu Bae. Hyunsu Bae 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.
Park, Moon Nyeo, Hyunsu Bae, Fahrul Nurkolis, et al.. (2025). SH003 as a Redox-Immune Modulating Phytomedicine: A Ferroptosis Induction, Exosomal Crosstalk, and Translational Oncology Perspective. Cancers. 17(21). 3519–3519.
2.
Bae, Hyunsu, et al.. (2025). The dynamic roles of macrophages extracellular traps (METs) in immune regulation. Archives of Pharmacal Research. 48(4). 293–304. 4 indexed citations
3.
Bae, Hyunsu, et al.. (2024). Therapeutic Effects of Aβ-Specific Regulatory T Cells in Alzheimer’s Disease: A Study in 5xFAD Mice. International Journal of Molecular Sciences. 25(2). 783–783. 7 indexed citations
4.
Hwang, Deok‐Sang, et al.. (2024). Adoptive Transfer of CX3CR1-Transduced Tregs Homing to the Forebrain in Lipopolysaccharide-Induced Neuroinflammation and 3xTg Alzheimer’s Disease Models. International Journal of Molecular Sciences. 25(24). 13682–13682. 1 indexed citations
6.
Kim, Soyoung, et al.. (2023). Alpha-Synuclein-Specific Regulatory T Cells Ameliorate Parkinson’s Disease Progression in Mice. International Journal of Molecular Sciences. 24(20). 15237–15237. 9 indexed citations
7.
Choi, Dabin, et al.. (2022). Particulate Matter Exacerbates the Death of Dopaminergic Neurons in Parkinson’s Disease through an Inflammatory Response. International Journal of Molecular Sciences. 23(12). 6487–6487. 25 indexed citations
8.
Shin, Dasom, et al.. (2022). Loss of SP-A in the Lung Exacerbates Pulmonary Fibrosis. International Journal of Molecular Sciences. 23(10). 5292–5292. 11 indexed citations
9.
Kim, Suyong, Ji Hwan Lee, Hyejin Yang, et al.. (2022). [6]-Shogaol Attenuates Oxaliplatin-Induced Allodynia through Serotonergic Receptors and GABA in the Spinal Cord in Mice. Pharmaceuticals. 15(6). 726–726. 12 indexed citations
11.
Jeong, Hyeon‐Ju, et al.. (2021). Targeting of adipose tissue macrophages by bee venom phospholipase A2 attenuates high-fat diet-induced obesity. International Journal of Obesity. 45(8). 1656–1667. 8 indexed citations
12.
Parvez, Shoukat, et al.. (2020). Tyrosinase inhibitors of Galla Rhois and its derivative components. Advances in Traditional Medicine. 21(2). 267–280. 5 indexed citations
13.
Chung, Eun Sook, Hwan‐Suck Chung, & Hyunsu Bae. (2011). RSAD2 is a key requirement for Golgi trafficking of TNF-{alpha} in activated microglia. The Journal of Immunology. 186. 1 indexed citations
14.
Bae, Hyunsu, et al.. (2010). Effect Of Nelumbinis Semen On The Recovery Of The Cardiac Muscle Activity by Proteome Analysis. Journal of Physiology & Pathology in Korean Medicine. 24(6). 962–969. 1 indexed citations
15.
Kim, Sun Kwang, Youngseop Lee, Hyunjoo Cho, et al.. (2009). A Parametric Study on the Immunomodulatory Effects of Electroacupuncture in DNP‐KLH Immunized Mice. Evidence-based Complementary and Alternative Medicine. 2011(1). 389063–389063. 12 indexed citations
16.
Sohn, Sung‐Hwa, Hyoeun Lee, Beom‐Joon Lee, et al.. (2008). Screening of Herbal Medicines for Recovery of Acetaminophen-induced Hepatotoxicity. Molecular & Cellular Toxicology. 4(4). 331–337. 2 indexed citations
17.
Cho, Chongwoon, et al.. (2008). The Antidepressant Effect of Nelumbinis semen on Forced Swimming Test in the Rat. Korean Journal of Stress Research. 16(2). 99–106. 2 indexed citations
18.
Kim, Sun Kwang, et al.. (2007). Genes Associated with Individual Variation of Electroacupuncture Anti-allodynic Effects in Rat. 21(5). 1285–1290. 1 indexed citations
19.
Kim, Hwang‐Phill, Chang-Hwa Jung, Myung Hee Hong, et al.. (2006). Inhibition of cell cycle progression via p27Kip1 upregulation and apoptosis induction by an ethanol extract of Rhus verniciflua Stokes in AGS gastric cancer cells. International Journal of Molecular Medicine. 18(1). 201–8. 43 indexed citations
20.
Chae, Han, In Kyoon Lyoo, Soojin Lee, et al.. (2003). An Alternative Way to Individualized Medicine: Psychological and Physical Traits of Sasang Typology. The Journal of Alternative and Complementary Medicine. 9(4). 519–528. 127 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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