Chang-Joong Kang

1.5k citations
21 papers · 1.3k indexed · 1 hit paper · h-index 7
Topics
T-cell and B-cell Immunology (6 papers)Immune Cell Function and Interaction (5 papers)RNA Research and Splicing (5 papers)

In The Last Decade

Chang-Joong Kang

20 papers receiving 1.2k citations

Hit Papers

Direct activation of capsaicin receptors by products of l...20002026200820172000250500750

Peers

Chang-Joong Kang
Comparison fields: 5 of 84
  • Sensory Systems 845
  • Physiology 543
  • Molecular Biology 369
  • Cellular and Molecular Neuroscience 270
  • Nutrition and Dietetics 168
Replace Tomohiro Higashi with:
Tomohiro Higashi Japan
Kirti Shah Switzerland
Mitsuko Numazaki Japan
Sravan Mandadi Canada
Gábor Pozsgai Hungary
Noritaka Imamachi Japan
Darren Robertson United Kingdom
Nuria García‐Sanz Spain
Kyu Pil Lee South Korea
G. Droogmans Belgium
Chang-Joong Kang relative to Tomohiro Higashi Japan Tomohiro Higashi's profile →
Citations per field
00.5×1.5×
Tomohiro Higashi · 1×
Citations per year

Countries citing papers authored by Chang-Joong Kang

Since Specialization
Citations

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

Fields of papers citing papers by Chang-Joong Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang-Joong Kang. 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 Chang-Joong Kang. The network helps show where Chang-Joong Kang may publish in the future.

Co-authorship network of co-authors of Chang-Joong Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Chang-Joong Kang. A scholar is included among the top collaborators of Chang-Joong Kang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chang-Joong Kang. Chang-Joong Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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10 49
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Involvement of two NF-kappaB binding sites in PMA-induced expression of the human leukotactin-1/CCL15 gene in U937 monocytoid cells.
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Direct activation of capsaicin receptors by products of lipoxygenases: Endogenous capsaicin-like substancesbreakdown →
868
18 4
19 227
20 27

About Chang-Joong Kang

Chang-Joong Kang is a scholar working on Sensory Systems, Immunology and Molecular Biology, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Sensory Systems (845 citations), Physiology (543 citations) and Endocrine and Autonomic Systems (104 citations). Chang-Joong Kang has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Uhtaek Oh, Sun Wook Hwang, Donghee Kim, Jiyeon Kwak, Jooyoung Jung, Hawon Cho, Young‐Ger Suh, Kyung Hoon Min, Soohyun Cho and Won Kim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

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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