Young-Kwon Kim

910 total citations · 1 hit paper
7 papers, 184 citations indexed

About

Young-Kwon Kim is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology and Surgery. According to data from OpenAlex, Young-Kwon Kim has authored 7 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 2 papers in Nephrology and 1 paper in Surgery. Recurrent topics in Young-Kwon Kim's work include Cardiovascular Health and Disease Prevention (5 papers), Blood Pressure and Hypertension Studies (2 papers) and Sodium Intake and Health (1 paper). Young-Kwon Kim is often cited by papers focused on Cardiovascular Health and Disease Prevention (5 papers), Blood Pressure and Hypertension Studies (2 papers) and Sodium Intake and Health (1 paper). Young-Kwon Kim collaborates with scholars based in South Korea and Ethiopia. Young-Kwon Kim's co-authors include Moo‐Yong Rhee, Myoung-Mook Lee, Yong‐Seok Kim, Hae‐Young Lee, Ju Han Kim, Jong‐Moo Park, Shin Young Ahn, Jinho Shin, Kwang‐Il Kim and Eun Joo Cho and has published in prestigious journals such as Journal of Hypertension, Journal of Clinical Biochemistry and Nutrition and Clinical and Experimental Hypertension.

In The Last Decade

Young-Kwon Kim

6 papers receiving 182 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The 2022 focused update of the 2018 Korean Hypertension Society Guidelines for the management of hypertension

2023 78 citations Hack‐Lyoung Kim, Eun Mi Lee et al. Clinical Hypertension profile →

Peers

Young-Kwon Kim

CCM

NEPHR

EPIDE

PFM

EDM

Wen-Harn Pan Taiwan

Yue‐Yuan Liao China

Giovanni Peretto Italy

Hiroyoshi Segawa Japan

Egemen Cebeci Türkiye

Piyamitr Sritara Thailand

E. Andrikou Greece

Akira Higa Japan

Miguel Bigotte Vieira Portugal

Christine P. Limonte United States

Wen-Harn Pan Taiwan

Young-Kwon Kim

110 ×1.1

CCM

43 ×0.8

NEPHR

26 ×0.7

EPIDE

32 ×1.0

PFM

12 ×0.4

EDM

Citations per year, relative to Young-Kwon Kim Young-Kwon Kim (= 1×) peers Wen-Harn Pan

Countries citing papers authored by Young-Kwon Kim

Since Specialization

Citations

This map shows the geographic impact of Young-Kwon 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-Kwon 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-Kwon Kim more than expected).

Fields of papers citing papers by Young-Kwon Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Kim, Hack‐Lyoung, Eun Mi Lee, Shin Young Ahn, et al.. (2023). The 2022 focused update of the 2018 Korean Hypertension Society Guidelines for the management of hypertension. Clinical Hypertension. 29(1). 11–11. 78 indexed citations breakdown →

2.

Kim, Ji‐Hyun, Moo‐Yong Rhee, Yong‐Seok Kim, et al.. (2013). Brachial-ankle pulse wave velocity for the prediction of the presence and severity of coronary artery disease. Clinical and Experimental Hypertension. 36(6). 404–409. 21 indexed citations

3.

Nah, Deuk-Young, Chang Geun Lee, Jun Ho Bae, et al.. (2013). Subclinical Renal Insufficiency Range of Estimated Glomerular Filtration Rate and Microalbuminuria Are Independently Associated with Increased Arterial Stiffness in Never Treated Hypertensives. Korean Circulation Journal. 43(4). 255–255. 8 indexed citations

4.

Rhee, Moo‐Yong, Ji‐Hyun Kim, Yong‐Seok Kim, et al.. (2012). 864 Ambulatory blood pressure variability. Journal of Hypertension. 30(Supplement 1). e252–e252.

5.

Lim, Yun Jeong, et al.. (2010). Increased Pulse Wave Velocity Reflecting Arterial Stiffness in Patients with Colorectal Adenomas. Journal of Clinical Biochemistry and Nutrition. 47(3). 261–265. 14 indexed citations

6.

Kim, Young-Kwon, et al.. (2010). Relationship Between Serum Uric Acid Levels, Metabolic Syndrome, and Arterial Stiffness in Korean. Korean Circulation Journal. 40(7). 314–314. 62 indexed citations

7.

Kim, Young-Kwon. (2005). The impact of metabolic syndrome and its components on pulse wave velocity. The Korean Journal of Internal Medicine. 68(2). 140–148. 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.

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