Youngki Kim

4.3k citations
116 papers · 3.3k · h-index 32

Impact in

Papers in

Youngki Kim

113 papers receiving 3.1k citations

Peers

Youngki Kim
Comparison fields: 5 of 146
  • Nephrology 1.0k
  • Immunology and Allergy 210
  • Otorhinolaryngology 151
  • Clinical Biochemistry 227
  • Genetics 304
Replace Ching‐Yuang Lin with:
Ching‐Yuang Lin Taiwan
Gianfranco Rizzoni Italy
Stephen R. Holdsworth Australia
Gerald A. Coles United Kingdom
Mark A. Weiss United States
Bruce A. Pussell Australia
Georges Deschênes France
Andrew J. Rees United Kingdom
R. C. Atkins Australia
Soo‐Taek Uh South Korea
Youngki Kim relative to Ching‐Yuang Lin Taiwan Ching‐Yuang Lin's profile →
Citations per field
00.5×11.6×
Ching‐Yuang Lin · 1×
Citations per year

Countries citing papers authored by Youngki Kim

Since Specialization
Citations

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

Fields of papers citing papers by Youngki Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Youngki Kim, 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 Youngki Kim Line = papers co-authored together Youngki Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990220
2 2002207
3 2007202
4 2002166
5 1981143
6 1993141
7 200395
8 198084
9 198577
10 199470
11 200167
12 199565
13 199664
14 200058
15 199956
16
Altered expression of matrix metalloproteinase-2, TIMP, and TIMP-2 in obstructive nephropathy.
199555
17
Breakdown products of C3 and factor B in hemolytic-uremic syndrome.
197752
18 198750
19 198349
20 199149

About Youngki Kim

Youngki Kim is a scholar working on Nephrology, Pulmonary and Respiratory Medicine, Molecular Biology, Surgery and Immunology, having authored 116 papers that have together received 3.3k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (28 papers), Chronic Kidney Disease and Diabetes (14 papers), Ear Surgery and Otitis Media (8 papers), Cell Adhesion Molecules Research (8 papers), Complement system in diseases (8 papers), Air Quality and Health Impacts (7 papers), Occupational exposure and asthma (7 papers) and Occupational and environmental lung diseases (7 papers). The work is most often cited by research in Nephrology (1.0k citations), Immunology and Allergy (210 citations), Otorhinolaryngology (151 citations), Clinical Biochemistry (227 citations) and Genetics (304 citations). Youngki Kim has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Michael Mauer, Alfred F. Michael, Maria Luiza Caramori, Behzad Najafian, Phillip K. Peterson, Paul G. Quie, Atul Sharma, Catherine M. Verfaillie, Mark E. Rosenberg and David Chmielewski. Their work appears in journals such as Kidney International, International Journal of Environmental Research and Public Health, Diabetes, Annals of Otology Rhinology & Laryngology and The Journal of Pediatrics.

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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