Young‐Ki Lee

2.7k citations
154 papers · 2.0k · h-index 24

Impact in

Papers in

    • Dialysis and Renal Disease Management 23
    • Parathyroid Disorders and Treatments 5
    • COVID-19 Clinical Research Studies 7

Young‐Ki Lee

137 papers receiving 1.9k citations

Peers

Young‐Ki Lee
Comparison fields: 5 of 165
  • Nephrology 472
  • Molecular Medicine 89
  • Endocrinology 80
  • Pollution 104
  • Infectious Diseases 129
Replace Kuo‐Chin Huang with:
Kuo‐Chin Huang Taiwan
Sang‐Hyun Kim South Korea
Shinichi Goto Japan
Chi‐Ho Lee Hong Kong
Karel Urbánek Czechia
Melissa Starkey United States
Lei Chen China
Mi Jin Kim South Korea
Tzung‐Hai Yen Taiwan
Shelley Gorman United Kingdom
Young‐Ki Lee relative to Kuo‐Chin Huang Taiwan Kuo‐Chin Huang's profile →
Citations per field
00.5×3.3×
Kuo‐Chin Huang · 1×
Citations per year

Countries citing papers authored by Young‐Ki Lee

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Ki Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young‐Ki Lee. 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‐Ki Lee. The network helps show where Young‐Ki Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside Young‐Ki Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Young‐Ki Lee Line = papers co-authored together Young‐Ki Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003134
2 2011127
3 2008120
4 201795
5 200582
6 201971
7 201958
8 201155
9 201253
10 201351
11 200550
12 201050
13 201239
14 200937
15 201937
16 201335
17 202134
18 200334
19 201332
20 201230

About Young‐Ki Lee

Young‐Ki Lee is a scholar working on Nephrology, Infectious Diseases, Molecular Biology, Electrical and Electronic Engineering and Surgery, having authored 154 papers that have together received 2.0k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (23 papers), Computational Fluid Dynamics and Aerodynamics (8 papers), COVID-19 Clinical Research Studies (7 papers), Central Venous Catheters and Hemodialysis (6 papers), Fluid Dynamics and Turbulent Flows (6 papers), Nutrition and Health in Aging (5 papers), Muscle and Compartmental Disorders (5 papers) and Parathyroid Disorders and Treatments (5 papers). The work is most often cited by research in Nephrology (472 citations), Molecular Medicine (89 citations), Endocrinology (80 citations), Pollution (104 citations) and Infectious Diseases (129 citations). Young‐Ki Lee has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Jung‐Woo Noh, Ajin Cho, Hayne Cho Park, Ja-Ryong Koo, Jong‐Woo Yoon, Jieun Oh, Do Hyoung Kim, Myung-Jin Choi, Sung Yi and Hyunho Kim. Their work appears in journals such as Kidney Research and Clinical Practice, PLoS ONE, Medicine, Scientific Reports and Journal of Crystal Growth.

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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