Chi Dae Kim

2.4k citations
74 papers · 2.0k · h-index 26

Impact in

Papers in

    • Angiogenesis and VEGF in Cancer 8
    • S100 Proteins and Annexins 5
    • Bone Metabolism and Diseases 4
    • Plant-derived Lignans Synthesis and Bioactivity 4
    • Nitric Oxide and Endothelin Effects 14

Chi Dae Kim

74 papers receiving 2.0k citations

Peers

Chi Dae Kim
Comparison fields: 5 of 102
  • Neurology 165
  • Geriatrics and Gerontology 58
  • Immunology 311
  • Cancer Research 207
  • Clinical Biochemistry 91
Replace Tomomi Ueyama with:
Tomomi Ueyama Japan
Osamu Yasuda Japan
Amir Ajoolabady China
So Youn Park South Korea
Zhi Yang China
Kousuke Noda Japan
Babu J. Padanilam United States
Xudong Liao United States
Jianming Pei China
Chi Dae Kim relative to Tomomi Ueyama Japan Tomomi Ueyama's profile →
Citations per field
00.5×1.5×
Tomomi Ueyama · 1×
Citations per year

Countries citing papers authored by Chi Dae Kim

Since Specialization
Citations

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

Fields of papers citing papers by Chi Dae Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010165
2 2014104
3 201786
4 200584
5 200579
6 200267
7 201366
8 201657
9 200952
10 200851
11 201350
12 200649
13 201547
14 200743
15 200339
16 200237
17 201337
18 201337
19 200337
20 200632

About Chi Dae Kim

Chi Dae Kim is a scholar working on Molecular Biology, Physiology, Immunology, Cancer Research and Neurology, having authored 74 papers that have together received 2.0k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (14 papers), Angiogenesis and VEGF in Cancer (8 papers), S100 Proteins and Annexins (5 papers), Bone Metabolism and Diseases (4 papers), Protease and Inhibitor Mechanisms (4 papers), Cardiac Ischemia and Reperfusion (4 papers), Sirtuins and Resveratrol in Medicine (4 papers) and Plant-derived Lignans Synthesis and Bioactivity (4 papers). The work is most often cited by research in Neurology (165 citations), Geriatrics and Gerontology (58 citations), Immunology (311 citations), Cancer Research (207 citations) and Clinical Biochemistry (91 citations). Chi Dae Kim has collaborated with scholars based in South Korea and United States. Frequent co-authors include Ki Whan Hong, So Youn Park, Won Suk Lee, Sun Sik Bae, Jeong Hyun Lee, Hwa Kyoung Shin, Byung Yong Rhim, Seung Jin Lee, Hye Young Kim and Sung Won Lee. Their work appears in journals such as Life Sciences, Journal of Pharmacology and Experimental Therapeutics, Experimental & Molecular Medicine, PLoS ONE and Biochemical and Biophysical Research Communications.

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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