Dae Youn Hwang

5.0k total citations
274 papers, 4.0k citations indexed

About

Dae Youn Hwang is a scholar working on Molecular Biology, Physiology and Nutrition and Dietetics. According to data from OpenAlex, Dae Youn Hwang has authored 274 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Molecular Biology, 41 papers in Physiology and 29 papers in Nutrition and Dietetics. Recurrent topics in Dae Youn Hwang's work include Alzheimer's disease research and treatments (27 papers), Gastrointestinal motility and disorders (20 papers) and Natural product bioactivities and synthesis (14 papers). Dae Youn Hwang is often cited by papers focused on Alzheimer's disease research and treatments (27 papers), Gastrointestinal motility and disorders (20 papers) and Natural product bioactivities and synthesis (14 papers). Dae Youn Hwang collaborates with scholars based in South Korea, United States and China. Dae Youn Hwang's co-authors include Ji Eun Kim, Jin Tae Hong, Jun Go, Su Jin Lee, Sungbaek Seo, Moon Hwa Kwak, Yun Ju Choi, Ji Eun Sung, Hong Joo Son and Sung Hwa Song and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Dae Youn Hwang

263 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dae Youn Hwang South Korea 33 1.2k 686 412 366 354 274 4.0k
Linlin Wang China 36 1.7k 1.4× 453 0.7× 326 0.8× 386 1.1× 472 1.3× 197 4.5k
Karl‐Herbert Schäfer Germany 32 1.5k 1.2× 855 1.2× 141 0.3× 252 0.7× 707 2.0× 107 4.0k
Ju‐Hong Jeon South Korea 40 2.2k 1.8× 755 1.1× 143 0.3× 263 0.7× 396 1.1× 196 5.1k
Jiaxin Xu China 34 897 0.7× 241 0.4× 174 0.4× 381 1.0× 576 1.6× 221 3.8k
Zhengquan Su China 34 1.6k 1.3× 830 1.2× 471 1.1× 218 0.6× 370 1.0× 118 4.3k
Jian Liu China 37 1.7k 1.4× 477 0.7× 146 0.4× 326 0.9× 346 1.0× 174 4.1k
Yutaka Masuda Japan 30 1.7k 1.4× 631 0.9× 331 0.8× 149 0.4× 532 1.5× 138 3.7k
Mohsen Minaiyan Iran 34 822 0.7× 167 0.2× 621 1.5× 280 0.8× 271 0.8× 167 3.4k
Chunmei Jiang China 34 1.8k 1.5× 487 0.7× 170 0.4× 293 0.8× 139 0.4× 117 4.0k
Jundong Zhu China 47 2.5k 2.1× 810 1.2× 486 1.2× 1.2k 3.2× 251 0.7× 147 6.6k

Countries citing papers authored by Dae Youn Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Dae Youn Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae Youn Hwang. 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 Dae Youn Hwang. The network helps show where Dae Youn Hwang may publish in the future.

Co-authorship network of co-authors of Dae Youn Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Dae Youn Hwang. A scholar is included among the top collaborators of Dae Youn Hwang 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 Dae Youn Hwang. Dae Youn Hwang 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.
Kim, Ju-Eun, Jun Go, Hye‐Yeon Park, et al.. (2025). Water extract of Humulus japonicus improves age‑related cognitive decline by inhibiting acetylcholinesterase activity and the acetylcholine signaling pathway. Molecular Medicine Reports. 31(5). 1–14. 2 indexed citations
2.
Kim, Ill‐Hwa, et al.. (2025). Trends of Domestic Market and Usage Status of Animal Orthopedic Products in South Korea. Journal of Veterinary Clinics. 42(1). 16–25.
3.
Park, Sun Young, et al.. (2024). Citrullus mucosospermus Extract Reduces Weight Gain in Mice Fed a High-Fat Diet. Nutrients. 16(13). 2171–2171. 1 indexed citations
4.
Min, Kyung‐Duk, et al.. (2024). Therapeutic Dose, Duration, and Efficacy of Bee Venom for Treating Clinical Mastitis in Dairy Cow. Journal of Veterinary Clinics. 41(1). 8–17.
5.
Park, Eun Seo, et al.. (2024). Effect of Silica Nanoparticle Treatment on Adhesion between Tissue-like Substrates and In Vivo Skin Wound Sealing. Journal of Functional Biomaterials. 15(9). 259–259.
6.
7.
Hwang, Dae Youn, et al.. (2023). Learning Curve of a Low-Volume Veterinary Surgeon for Laparoscopic Salpingectomy in Asiatic Black Bear (Ursus thibetanus). Journal of Veterinary Clinics. 40(6). 438–444.
8.
Kim, Ji Eun, et al.. (2023). Therapeutic Effects of Aloe saponaria against Ulcerative Colitis Induced by Dextran Sulfate Sodium. Current Issues in Molecular Biology. 45(2). 1483–1499. 3 indexed citations
9.
10.
Kim, Ji‐Eun, Ki Ho Park, Beum‐Soo An, et al.. (2023). Complement C3-Deficiency-Induced Constipation in FVB/N-C3em1Hlee/Korl Knockout Mice Was Significantly Relieved by Uridine and Liriope platyphylla L. Extracts. International Journal of Molecular Sciences. 24(21). 15757–15757. 1 indexed citations
11.
Ryu, Young‐Kyoung, Dong‐Ho Chang, Hye‐Yeon Park, et al.. (2022). Agathobaculum butyriciproducens Shows Neuroprotective Effects in a 6-OHDA-Induced Mouse Model of Parkinson’s Disease. Journal of Microbiology and Biotechnology. 32(9). 1168–1177. 18 indexed citations
12.
Go, Jun, Dong‐Ho Chang, Young‐Kyoung Ryu, et al.. (2020). Human gut microbiota Agathobaculum butyriciproducens improves cognitive impairment in LPS-induced and APP/PS1 mouse models of Alzheimer's disease. Nutrition Research. 86. 96–108. 50 indexed citations
13.
Kim, Ji Eun, Jun Young Choi, Jin Ju Park, et al.. (2019). Synergic Laxative Effects of an Herbal Mixture of Liriope platyphylla , Glycyrrhiza uralensis , and Cinnamomum cassia in Loperamide-Induced Constipation of Sprague Dawley Rats. Journal of Medicinal Food. 22(3). 294–304. 18 indexed citations
14.
Ku, Minhee, Nara Yoon, Dae Youn Hwang, et al.. (2019). Effect of polydiacetylene-based nanosomes on cell viability and endocytosis. Nanotechnology. 30(24). 245101–245101. 8 indexed citations
15.
Song, Bo, Ji Eun Kim, Jun Yong Choi, et al.. (2017). Beneficial Effect of an Agar Mask against Skin Damage Induced by UV Exposure in SKH-1 Hairless Mice. JoLS Journal of Life Sciences. 27(9). 975–985. 2 indexed citations
16.
Song, Sung Hwa, Seong Mi Choi, Ji Eun Kim, et al.. (2016). α-Isocubebenol alleviates scopolamine-induced cognitive impairment by repressing acetylcholinesterase activity. Neuroscience Letters. 638. 121–128. 24 indexed citations
17.
Kim, Ji Eun, Jae‐Wook Lee, Jae‐Wook Lee, et al.. (2015). Accelerated healing of cutaneous wounds using phytochemically stabilized gold nanoparticle deposited hydrocolloid membranes. Biomaterials Science. 3(3). 509–519. 63 indexed citations
18.
Choi, Sung Yong, Ji Eun Kim, So Hee Nam, et al.. (2011). γ-Secretase 활성억제단백질인 TMP21의 과발현이 신경세포주에서 NGF 수용체 신호전달과 정에 미치는 영향. 생명과학회지. 21(8). 1134–1141. 4 indexed citations
19.
Shim, Sun Bo, et al.. (2006). Survey on Current Status of Laboratory Animals for Establishing New National Policy. Laboratory Animal Research. 22(1). 49–53. 1 indexed citations
20.
Hwang, Dae Youn, Kab Ryong Chae, Dong Hoon Shin, et al.. (2001). Xenobiotic Response in Humanized Double Transgenic Mice Expressing Tetracycline-Controlled Transactivator and Human CYP1B1. Archives of Biochemistry and Biophysics. 395(1). 32–40. 15 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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