Kun Chae

2.2k citations
39 papers · 1.9k · h-index 19

Impact in

Papers in

Kun Chae

38 papers receiving 1.7k citations

Peers

Kun Chae
Comparison fields: 5 of 106
  • Health, Toxicology and Mutagenesis 1.2k
  • Physiology 107
  • Cancer Research 305
  • Genetics 562
  • Pollution 185
Replace Karl P. Baetcke with:
Karl P. Baetcke United States
Miriam N. Jacobs United Kingdom
M. Metzler Germany
Scott R. Nagy United States
David E. Williams United States
Anatoly A. Soshilov United States
J.M.M.J.G. Aarts Netherlands
Toine F. H. Bovee Netherlands
J. Craig Rowlands United States
R. Bars France
Kun Chae relative to Karl P. Baetcke United States Karl P. Baetcke's profile →
Citations per field
00.5×4.1×
Karl P. Baetcke · 1×
Citations per year

Countries citing papers authored by Kun Chae

Since Specialization
Citations

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

Fields of papers citing papers by Kun Chae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996394
2 1988386
3 1996181
4 1976146
5 198594
6 198564
7 198563
8 198761
9 199851
10 197951
11 198946
12 199138
13 199638
14 197335
15 198133
16 199830
17 197327
18 198422
19 197919
20 198018

About Kun Chae

Kun Chae is a scholar working on Health, Toxicology and Mutagenesis, Genetics, Spectroscopy, Molecular Biology and Organic Chemistry, having authored 39 papers that have together received 1.9k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (9 papers), Effects and risks of endocrine disrupting chemicals (9 papers), Toxic Organic Pollutants Impact (9 papers), Analytical Chemistry and Chromatography (7 papers), Computational Drug Discovery Methods (5 papers), Mass Spectrometry Techniques and Applications (4 papers), Chemical Reactions and Isotopes (4 papers) and Enzyme Catalysis and Immobilization (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.2k citations), Physiology (107 citations), Cancer Research (305 citations), Genetics (562 citations) and Pollution (185 citations). Kun Chae has collaborated with scholars based in United States and South Korea. Frequent co-authors include James D. McKinney, Kenneth S. Korach, Douglas Β. Tully, Vicki L. Davis, Retha R. Newbold, Michael D. Shelby, John Moore, B. N. Gupta, Jorge Goldstein and Stuart J. Oatley. Their work appears in journals such as Toxicology and Applied Pharmacology, Journal of Medicinal Chemistry, Environmental Health Perspectives, Journal of Biological Chemistry and Molecular Pharmacology.

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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