Young-Seol Kim

630 total citations
28 papers, 508 citations indexed

About

Young-Seol Kim is a scholar working on Artificial Intelligence, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Young-Seol Kim has authored 28 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Physiology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Young-Seol Kim's work include Cryptography and Data Security (5 papers), Diet and metabolism studies (4 papers) and Ecology and Conservation Studies (4 papers). Young-Seol Kim is often cited by papers focused on Cryptography and Data Security (5 papers), Diet and metabolism studies (4 papers) and Ecology and Conservation Studies (4 papers). Young-Seol Kim collaborates with scholars based in South Korea, Malaysia and France. Young-Seol Kim's co-authors include Ryuzo Kawamori, Yoshimitsu Yamasaki, Naoto Katakami, Ryowon Choue, Jung‐Eun Yim, Suk Chon, Sung Soo Kim, Seungjoon Oh, Joohun Ha and Insug Kang and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Archives of Biochemistry and Biophysics.

In The Last Decade

Young-Seol Kim

25 papers receiving 489 citations

Peers

Young-Seol Kim

EDM

SURGE

CCM

PHYSI

Vicente Mora Llabata Spain

Laura Toma Romania

Anna Gębska Poland

Franco Romeo Italy

Valentina Spigoni Italy

Sheng-kai Yan China

Yi Ching Chen Taiwan

Hasan Veysi Güneş Türkiye

Hülyam Kurt Türkiye

Vigneshwaran Pitchaimani Japan

Vicente Mora Llabata Spain

Young-Seol Kim

161 ×1.1

89 ×0.7

EDM

87 ×1.0

SURGE

80 ×1.0

CCM

94 ×1.5

PHYSI

Citations per year, relative to Young-Seol Kim Young-Seol Kim (= 1×) peers Vicente Mora Llabata

Countries citing papers authored by Young-Seol Kim

Since Specialization

Citations

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

Fields of papers citing papers by Young-Seol Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young-Seol Kim. 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 Young-Seol Kim. The network helps show where Young-Seol Kim may publish in the future.

Co-authorship network of co-authors of Young-Seol Kim

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

All Works

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20 of 20 papers shown

Choi, Ha‐Neul, et al.. (2022). Differences of Regional Fat Distribution Measured by Magnetic Resonance Imaging According to Obese Phenotype in Koreans. Metabolic Syndrome and Related Disorders. 20(10). 551–557. 2 indexed citations

Kim, Young-Seol, et al.. (2022). Skin accumulation of advanced glycation end products and cardiovascular risk in Korean patients with type 2 diabetes mellitus. Heliyon. 8(6). e09571–e09571. 8 indexed citations

Ahn, Chang‐Ho, Jung-Yeon Han, Young-Seol Kim, & Yong-Eui Choi. (2018). Propagation and cryopreservation of Ulleungdo hemlock (Tsuga ulleungensis) via somatic embryogenesis. Trees. 32(6). 1801–1808. 5 indexed citations

Kwon, Soon‐Jae, et al.. (2016). Growth Environment and Vegetation Structure of Habitats of Acer tegmentosum Maxim.. Journal of Agriculture & Life Science. 50(3). 69–80. 2 indexed citations

Choi, Eun-Yong, Hansongyi Lee, Jong Shin Woo, et al.. (2015). Effect of onion peel extract on endothelial function and endothelial progenitor cells in overweight and obese individuals. Nutrition. 31(9). 1131–1135. 60 indexed citations

Chon, Suk, Yun Jung Lee, Gemma Fraterrigo, et al.. (2013). Evaluation of Glycemic Variability in Well-Controlled Type 2 Diabetes Mellitus. Diabetes Technology & Therapeutics. 15(6). 455–460. 39 indexed citations

Yim, Jung‐Eun, et al.. (2013). The association between measurement sites of visceral adipose tissue and cardiovascular risk factors after caloric restriction in obese Korean women. Nutrition Research and Practice. 7(1). 43–43. 7 indexed citations

Kim, Yoo-Shin, et al.. (2012). Flora and Vegetation of Mt. Gwaebyung and Galmi-bong, Gangwon Province, Korea. Journal of Korean Society of Forest Science. 101(2). 226–235. 2 indexed citations

Yim, Jung‐Eun, Hansongyi Lee, Hyejin Ahn, et al.. (2012). Sugar composition and glycemic indices of frequently consumed fruits in Korea. The Korean Journal of Nutrition. 45(2). 192–192. 10 indexed citations

10.

Park, Ji‐Hye, et al.. (2007). A Proxy Blind Signature Scheme with Proxy Revocation. 761–764. 8 indexed citations

11.

Park, Ji‐Hye, et al.. (2007). A Proxy Blind Signature Scheme with Proxy Revocation. e79 a. 761–764. 5 indexed citations

12.

Kim, Young-Seol, et al.. (2007). New One-Time Proxy Signature Scheme based on DLP using the Warrant. 2 indexed citations

13.

Yamasaki, Yoshimitsu, Young-Seol Kim, & Ryuzo Kawamori. (2006). Rationale and protocol of a trial for prevention of diabetic atherosclerosis by using antiplatelet drugs: study of Diabetic Atherosclerosis Prevention by Cilostazol (DAPC study).. Cardiovascular Diabetology. 5(1). 16–16. 13 indexed citations

14.

Kim, Young-Seol, et al.. (2006). Provably Secure Proxy Blind Signature Scheme. e79 a. 998–1003. 3 indexed citations

15.

Chuang, Lee‐Ming, Sidartawan Soegondo, Pradana Soewondo, et al.. (2005). Comparisons of the outcomes on control, type of management and complications status in early onset and late onset type 2 diabetes in Asia. Diabetes Research and Clinical Practice. 71(2). 146–155. 48 indexed citations

16.

Koh, Gwanpyo, Kwang Sik Suh, Suk Chon, et al.. (2005). Elevated cAMP level attenuates 2-deoxy-d-ribose-induced oxidative damage in pancreatic β-cells. Archives of Biochemistry and Biophysics. 438(1). 70–79. 40 indexed citations

17.

Kim, Ha-Na, et al.. (2004). Methanol extract of Dioscoreae Rhizoma inhibits pro-inflammatory cytokines and mediators in the synoviocytes of rheumatoid arthritis. International Immunopharmacology. 4(12). 1489–1497. 57 indexed citations

18.

Kim, Young-Seol, et al.. (2002). Prevalence of subclinical hypothyroidism in hypercholesterolemic adults and influence of serum TSH on the serum total cholesterol level. The Korean Journal of Internal Medicine. 62(2). 187–193. 3 indexed citations

19.

Kim, Joungmok, Moon‐Young Yoon, Insug Kang, et al.. (2001). Effects of Stimulation of AMP-activated Protein Kinase on Insulin-like Growth Factor 1- and Epidermal Growth Factor-dependent Extracellular Signal-regulated Kinase Pathway. Journal of Biological Chemistry. 276(22). 19102–19110. 74 indexed citations

20.

Kim, Hyun‐Man, Young-Seol Kim, Kyung Mi Woo, et al.. (2001). Dissolution of poorly crystalline apatite crystals by osteoclasts determined on artificial thin-film apatite. Journal of Biomedical Materials Research. 56(2). 250–256. 16 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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