Won Kim

3.4k citations
79 papers · 2.7k · h-index 28

Impact in

  • Nephrology top 1%
    • Chronic Kidney Disease and Diabetes
    • Dialysis and Renal Disease Management
    • Acute Kidney Injury Research
    • Sirtuins and Resveratrol in Medicine

Papers in

Won Kim

77 papers receiving 2.7k citations

Peers

Won Kim
Comparison fields: 5 of 121
  • Nephrology 523
  • Geriatrics and Gerontology 265
  • Sensory Systems 186
  • Pathology and Forensic Medicine 378
  • Physiology 79
Replace Kyung Pyo Kang with:
Kyung Pyo Kang South Korea
Andrea Semplicini Italy
Shu Wakino Japan
Carlos Martı́nez-Salgado Spain
Yu‐Juei Hsu Taiwan
Takashi Uzu Japan
Susan B. Gurley United States
Kazunori Utsunomiya Japan
Elisa Pagnin Italy
Hirobumi Tokuyama Japan
Won Kim relative to Kyung Pyo Kang South Korea Kyung Pyo Kang's profile →
Citations per field
00.5×4.2×
Kyung Pyo Kang · 1×
Citations per year

Countries citing papers authored by Won Kim

Since Specialization
Citations

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

Fields of papers citing papers by Won Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999227
2 2008166
3 2011156
4 2004121
5 2014118
6 2018111
7 2003108
8 201599
9 201082
10 201277
11 201476
12 201474
13 201273
14 201473
15 200972
16 200967
17 202066
18 200465
19 200257
20 201151

About Won Kim

Won Kim is a scholar working on Molecular Biology, Surgery, Nephrology, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 79 papers that have together received 2.7k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (10 papers), Dialysis and Renal Disease Management (7 papers), Renal and Vascular Pathologies (7 papers), Lymphatic System and Diseases (6 papers), Sirtuins and Resveratrol in Medicine (6 papers), Abdominal vascular conditions and treatments (5 papers), Acute Kidney Injury Research (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Nephrology (523 citations), Geriatrics and Gerontology (265 citations), Sensory Systems (186 citations), Pathology and Forensic Medicine (378 citations) and Physiology (79 citations). Won Kim has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include Kyung Pyo Kang, Sik Lee, Sung Kwang Park, Yu Jin Jung, Ae Sin Lee, Mi Jeong Sung, Dal Kim, Duk Hoon Kim, Sang-Woong Han and Jongha Park. Their work appears in journals such as Kidney International, Biochemical and Biophysical Research Communications, Kidney Research and Clinical Practice, International Journal of Molecular Sciences and Nephrology Dialysis Transplantation.

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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