Kwi-Hyun Bae

411 total citations
12 papers, 344 citations indexed

About

Kwi-Hyun Bae is a scholar working on Molecular Biology, Nephrology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kwi-Hyun Bae has authored 12 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Nephrology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kwi-Hyun Bae's work include Kruppel-like factors research (4 papers), Fibroblast Growth Factor Research (3 papers) and Epigenetics and DNA Methylation (2 papers). Kwi-Hyun Bae is often cited by papers focused on Kruppel-like factors research (4 papers), Fibroblast Growth Factor Research (3 papers) and Epigenetics and DNA Methylation (2 papers). Kwi-Hyun Bae collaborates with scholars based in South Korea and United States. Kwi-Hyun Bae's co-authors include Keun‐Gyu Park, In‐Kyu Lee, Jung‐Guk Kim, Ji-Yun Jeong, Young‐Keun Choi, Chang Joo Oh, Han‐Jong Kim, Joon-Young Kim, Gwon‐Soo Jung and Ji Hyun Kim and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Endocrinology.

In The Last Decade

Kwi-Hyun Bae

12 papers receiving 331 citations

Peers

Kwi-Hyun Bae
Daniel Fineberg Australia
Young-Soo Song South Korea
Mahmoud Gaballa United States
Gilli Erez Israel
Ken Thummel United States
Kwi-Hyun Bae
Citations per year, relative to Kwi-Hyun Bae Kwi-Hyun Bae (= 1×) peers Xianghua Zhuang

Countries citing papers authored by Kwi-Hyun Bae

Since Specialization
Citations

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

Fields of papers citing papers by Kwi-Hyun Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kwi-Hyun Bae

This figure shows the co-authorship network connecting the top 25 collaborators of Kwi-Hyun Bae. A scholar is included among the top collaborators of Kwi-Hyun 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 Kwi-Hyun Bae. Kwi-Hyun Bae 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
1.
Jeong, Ji Yun, Jae‐Han Jeon, Kwi-Hyun Bae, et al.. (2018). Smart Care Based on Telemonitoring and Telemedicine for Type 2 Diabetes Care: Multi-Center Randomized Controlled Trial. Telemedicine Journal and e-Health. 24(8). 604–613. 45 indexed citations
2.
Bae, Kwi-Hyun, Yeon‐Kyung Choi, Jae‐Han Jeon, et al.. (2018). Relationship between Circulating FGF21 Concentrations and the Severity of Coronary Artery Damage in Subjects with Cardiovascular Disease. Journal of Lipid and Atherosclerosis. 7(1). 42–42. 3 indexed citations
3.
Kim, Ji Hyun, Kwi-Hyun Bae, Jun‐Kyu Byun, et al.. (2017). Lactate dehydrogenase-A is indispensable for vascular smooth muscle cell proliferation and migration. Biochemical and Biophysical Research Communications. 492(1). 41–47. 61 indexed citations
4.
Kim, Eui Hyun, Kwi-Hyun Bae, Jae‐Han Jeon, et al.. (2016). Relation between uric acid and lipid profiles in patients with type 2 diabetes. Endocrine Abstracts. 1 indexed citations
5.
Kim, Sung Woo, Kwi-Hyun Bae, Jae‐Han Jeon, et al.. (2016). Association between prolonged breastfeeding and bone mineral density and osteoporosis in postmenopausal women: KNHANES 2010-2011. Endocrine Abstracts. 1 indexed citations
6.
Ha, Chae‐Myeong, Sungmi Park, Young‐Keun Choi, et al.. (2014). Activation of Nrf2 by dimethyl fumarate improves vascular calcification. Vascular Pharmacology. 63(1). 29–36. 64 indexed citations
7.
Jung, Yuna, Kwi-Hyun Bae, Hye-Young Seo, et al.. (2014). Cilostazol inhibits insulin-stimulated expression of sterol regulatory binding protein-1c via inhibition of LXR and Sp1. Experimental & Molecular Medicine. 46(1). e73–e73. 7 indexed citations
8.
Bae, Kwi-Hyun, et al.. (2014). Alpha lipoic acid induces hepatic fibroblast growth factor 21 expression via up-regulation of CREBH. Biochemical and Biophysical Research Communications. 455(3-4). 212–217. 14 indexed citations
9.
Bae, Kwi-Hyun, Jung‐Guk Kim, & Keun‐Gyu Park. (2014). Transcriptional Regulation of Fibroblast Growth Factor 21 Expression. Endocrinology and Metabolism. 29(2). 105–105. 26 indexed citations
10.
Bae, Kwi-Hyun, Yuna Jung, Yeon‐Kyung Choi, et al.. (2014). Orphan Nuclear Receptor Nur77 Mediates Fasting-Induced Hepatic Fibroblast Growth Factor 21 Expression. Endocrinology. 155(8). 2924–2931. 25 indexed citations
11.
Oh, Chang Joo, Joon‐Young Kim, Young‐Keun Choi, et al.. (2013). Correction: Dimethylfumarate Attenuates Renal Fibrosis via NF-E2-Related Factor 2-Mediated Inhibition of Transforming Growth Factor-β/Smad Signaling. PLoS ONE. 8(9). 2 indexed citations
12.
Oh, Chang Joo, Joon-Young Kim, Young‐Keun Choi, et al.. (2012). Dimethylfumarate Attenuates Renal Fibrosis via NF-E2-Related Factor 2-Mediated Inhibition of Transforming Growth Factor-β/Smad Signaling. PLoS ONE. 7(10). e45870–e45870. 95 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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