Chang-Joong Kang

1.5k total citations · 1 hit paper
21 papers, 1.3k citations indexed

About

Chang-Joong Kang is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Chang-Joong Kang has authored 21 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Immunology and 4 papers in Oncology. Recurrent topics in Chang-Joong Kang's work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers) and RNA Research and Splicing (5 papers). Chang-Joong Kang is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers) and RNA Research and Splicing (5 papers). Chang-Joong Kang collaborates with scholars based in South Korea, United States and Ethiopia. Chang-Joong Kang's co-authors include Uhtaek Oh, Sun Wook Hwang, Jiyeon Kwak, Donghee Kim, Jooyoung Jung, Hawon Cho, Soohyun Cho, Young‐Ger Suh, Kyung Hoon Min and Won Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Chang-Joong Kang

20 papers receiving 1.2k citations

Hit Papers

Direct activation of caps... 2000 2026 2008 2017 2000 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chang-Joong Kang South Korea 7 845 543 369 270 168 21 1.3k
Tomohiro Higashi Japan 12 1.2k 1.4× 758 1.4× 399 1.1× 465 1.7× 268 1.6× 17 1.9k
Gábor Pozsgai Hungary 20 476 0.6× 377 0.7× 233 0.6× 407 1.5× 81 0.5× 37 1.2k
Mitsuko Numazaki Japan 8 810 1.0× 572 1.1× 382 1.0× 335 1.2× 119 0.7× 10 1.1k
Noritaka Imamachi Japan 9 650 0.8× 609 1.1× 327 0.9× 484 1.8× 83 0.5× 20 1.4k
Sravan Mandadi Canada 13 540 0.6× 321 0.6× 221 0.6× 235 0.9× 115 0.7× 18 983
Kirti Shah Switzerland 5 596 0.7× 417 0.8× 292 0.8× 242 0.9× 80 0.5× 8 852
Kyu Pil Lee South Korea 23 894 1.1× 114 0.2× 747 2.0× 458 1.7× 289 1.7× 61 1.6k
Darren Robertson United Kingdom 14 236 0.3× 361 0.7× 276 0.7× 279 1.0× 45 0.3× 25 1.2k
Noriyuki Hatano Japan 20 352 0.4× 201 0.4× 544 1.5× 244 0.9× 70 0.4× 31 950
G. Droogmans Belgium 12 510 0.6× 199 0.4× 435 1.2× 198 0.7× 150 0.9× 16 886

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
1.
Kang, Chang-Joong, et al.. (2022). Crlz-1 Homozygous Null Knockout Mouse Embryos Are Lethally Stopped in Their Early Development. Genes. 13(3). 511–511.
2.
Kang, Chang-Joong, et al.. (2019). Crlz-1 Controls Germinal Center Reaction by Relaying a Wnt Signal to the Bcl-6 Expression in Centroblasts during Humoral Immune Responses. The Journal of Immunology. 203(10). 2630–2643. 2 indexed citations
3.
4.
Lim, Junghyun, et al.. (2013). Crlz-1 Is Prominently Expressed in Spermatogonia and Sertoli Cells during Early Testis Development and in Spermatids during Late Spermatogenesis. Journal of Histochemistry & Cytochemistry. 61(7). 522–528. 3 indexed citations
5.
Son, Youngsook, et al.. (2011). A Strong Promoter Activity of Pre-B Cell Stage-Specific Crlz1 Gene Is Caused by One Distal LEF-1 and Multiple Proximal Ets Sites. Molecules and Cells. 32(1). 67–76. 6 indexed citations
6.
Lim, Junghyun, et al.. (2009). Crlz1 activates transcription by mobilizing cytoplasmic CBFβ into the nucleus. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1789(11-12). 702–708. 6 indexed citations
8.
Son, Kyung‐No, et al.. (2007). Promoter analysis of human CC chemokine CCL23 gene in U937 monocytoid cells. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1769(3). 204–208. 6 indexed citations
10.
Kang, Chang-Joong, Young Kee Shin, Sun Wook Hwang, et al.. (2006). TRPV1 Recapitulates Native Capsaicin Receptor in Sensory Neurons in Association with Fas-Associated Factor 1. Journal of Neuroscience. 26(9). 2403–2412. 49 indexed citations
11.
Kim, Hong Gi, et al.. (2006). The HSS3/4 enhancer of Crlz1-IgJ locus is another target of EBF in the pre-B cell stage of B cell development. Immunology Letters. 107(1). 63–70. 3 indexed citations
12.
Kang, Chang-Joong, et al.. (2005). A Stat5-overlapping site is critical for the IgJ enhancer activity in the plasma cells and bound by a ubiquitous protein. Biochemical and Biophysical Research Communications. 338(4). 1897–1905. 3 indexed citations
13.
Hur, Man‐Wook, et al.. (2004). Involvement of two NF-kappaB binding sites in PMA-induced expression of the human leukotactin-1/CCL15 gene in U937 monocytoid cells.. PubMed. 17(2). 316–21. 7 indexed citations
14.
Hur, Man‐Wook, et al.. (2004). Involvement of Two NF-κB Binding Sites in PMA-induced Expression of the Human Leukotactin-1/CCL15 Gene in U937 Monocytoid Cells. Molecules and Cells. 17(2). 316–321. 6 indexed citations
15.
Kang, Chang-Joong & David O. Peterson. (2001). In Vitro Analysis of Transcriptional Repression of the Mouse Mammary Tumor Virus Promoter. Biochemical and Biophysical Research Communications. 287(2). 402–410. 2 indexed citations
16.
Hwang, Sun Wook, Hawon Cho, Jiyeon Kwak, et al.. (2000). Direct activation of capsaicin receptors by products of lipoxygenases: Endogenous capsaicin-like substances. Proceedings of the National Academy of Sciences. 97(11). 6155–6160. 868 indexed citations breakdown →
17.
Kang, Chang-Joong, Uhtaek Oh, & Marian Elliott Koshland. (2000). Dynamic Chromatin Remodeling in the Vicinity of J Chain Gene for the Regulation of Two Stage-specific Genes during B Cell Differentiation. Molecules and Cells. 10(1). 32–37. 5 indexed citations
18.
Kang, Chang-Joong & David O. Peterson. (1999). Identification of a Protein That Recognizes a Distal Negative Regulatory Element within the Mouse Mammary Tumor Virus Long Terminal Repeat. Virology. 264(1). 211–219. 4 indexed citations
19.
Jung, Jooyoung, Sun Wook Hwang, Jiyeon Kwak, et al.. (1999). Capsaicin Binds to the Intracellular Domain of the Capsaicin-Activated Ion Channel. Journal of Neuroscience. 19(2). 529–538. 227 indexed citations
20.
Kang, Chang-Joong, et al.. (1998). A Stage-Specific Enhancer of Immunoglobulin J Chain Gene Is Induced by Interleukin-2 in a Presecretor B Cell Stage. Immunity. 8(3). 285–295. 27 indexed citations

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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