Jeong-Hwan Che

34 papers receiving 837 citations

Peers

Jeong-Hwan Che
Comparison fields: 5 of 116
  • Developmental Neuroscience 52
  • Health, Toxicology and Mutagenesis 123
  • Pharmacology 56
  • Complementary and alternative medicine 51
  • Genetics 64
Replace Byeong-Cheol Kang with:
Byeong-Cheol Kang South Korea
Mohammad Nabiuni Iran
Mahmoud Orazizadeh Iran
Ali Taghizadehghalehjoughi Türkiye
Abdülgani Tatar Türkiye
Ching-Hao Li Taiwan
Chunli Liu China
Nasim Hayati Roodbari Iran
Shuo Han China
Lingli Long China
Jeong-Hwan Che relative to Byeong-Cheol Kang South Korea Byeong-Cheol Kang's profile →
Citations per field
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Byeong-Cheol Kang · 1×
Citations per year

Countries citing papers authored by Jeong-Hwan Che

Since Specialization
Citations

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

Fields of papers citing papers by Jeong-Hwan Che

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeong-Hwan Che. 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 Jeong-Hwan Che. The network helps show where Jeong-Hwan Che may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013288
2 200062
3 201257
4 201848
5 201943
6 201342
7 201839
8 201133
9 201527
10 202015
11 201514
12 201514
13 201714
14 201413
15 202013
16 201713
17 202012
18 201512
19 201912
20 200210

About Jeong-Hwan Che

Jeong-Hwan Che is a scholar working on Molecular Biology, Plant Science, Cancer Research, Oncology and Pharmacology, having authored 34 papers that have together received 852 indexed citations. Recurring topics across this work include Animal testing and alternatives (4 papers), Carcinogens and Genotoxicity Assessment (3 papers), Mesenchymal stem cell research (3 papers), Synthesis and Biological Activity (2 papers), Cancer Cells and Metastasis (2 papers), Plant chemical constituents analysis (2 papers), Receptor Mechanisms and Signaling (2 papers) and Cannabis and Cannabinoid Research (2 papers). The work is most often cited by research in Developmental Neuroscience (52 citations), Health, Toxicology and Mutagenesis (123 citations), Pharmacology (56 citations), Complementary and alternative medicine (51 citations) and Genetics (64 citations). Jeong-Hwan Che has collaborated with scholars based in South Korea, Puerto Rico and United States. Frequent co-authors include Byeong-Cheol Kang, Seung Hyeok Seok, Jong Kwon Lee, Jayoung Jeong, Wan-Seob Cho, Jun-Won Yun, Euna Kwon, Ji‐Ran You, Yong-Soon Lee and Kyung‐Sun Kang. Their work appears in journals such as Regulatory Toxicology and Pharmacology, Oncology Reports, Drug and Chemical Toxicology, Investigative Ophthalmology & Visual Science and Journal of Korean Medical Science.

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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