Tae‐Bong Kang

6.5k total citations · 2 hit papers
95 papers, 5.1k citations indexed

About

Tae‐Bong Kang is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Tae‐Bong Kang has authored 95 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 59 papers in Immunology and 11 papers in Cell Biology. Recurrent topics in Tae‐Bong Kang's work include Inflammasome and immune disorders (31 papers), Cell death mechanisms and regulation (21 papers) and Immune Response and Inflammation (16 papers). Tae‐Bong Kang is often cited by papers focused on Inflammasome and immune disorders (31 papers), Cell death mechanisms and regulation (21 papers) and Immune Response and Inflammation (16 papers). Tae‐Bong Kang collaborates with scholars based in South Korea, Israel and United States. Tae‐Bong Kang's co-authors include David Wallach, Seung‐Hoon Yang, Andrew Kovalenko, Christopher P. Dillon, Douglas R. Green, Sang‐Ryong Lee, Kwang‐Ho Lee, Sushruta Koppula, Beáta Tóth and Do-Wan Shim and has published in prestigious journals such as Science, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Tae‐Bong Kang

93 papers receiving 5.0k citations

Hit Papers

The Role of Tumor Necrosis Factor Alpha (TN... 2016 2026 2019 2022 2021 2016 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tae‐Bong Kang South Korea 32 3.0k 2.2k 540 431 364 95 5.1k
Hongwei Gao China 43 2.5k 0.8× 1.9k 0.9× 890 1.6× 564 1.3× 466 1.3× 147 5.5k
Mausumee Guha United States 17 2.0k 0.7× 2.1k 0.9× 570 1.1× 874 2.0× 517 1.4× 25 5.1k
Tae‐Yoon Kim South Korea 41 2.1k 0.7× 1.4k 0.6× 271 0.5× 389 0.9× 411 1.1× 180 5.3k
Harald Carlsen Norway 31 1.7k 0.6× 1.5k 0.7× 633 1.2× 298 0.7× 242 0.7× 80 4.5k
Bhesh Raj Sharma United States 26 3.4k 1.1× 1.9k 0.8× 601 1.1× 401 0.9× 341 0.9× 49 5.1k
Young‐Su Yi South Korea 36 2.9k 1.0× 1.0k 0.5× 412 0.8× 648 1.5× 289 0.8× 102 4.6k
Shuo Yang China 40 2.8k 1.0× 1.2k 0.5× 404 0.7× 715 1.7× 312 0.9× 154 4.8k
Saeed Mohammadian Haftcheshmeh Iran 17 1.6k 0.5× 2.0k 0.9× 453 0.8× 403 0.9× 484 1.3× 43 4.7k
Asadollah Mohammadi Iran 19 1.6k 0.5× 2.1k 1.0× 482 0.9× 385 0.9× 471 1.3× 41 4.9k

Countries citing papers authored by Tae‐Bong Kang

Since Specialization
Citations

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

Fields of papers citing papers by Tae‐Bong Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae‐Bong 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 Tae‐Bong Kang. The network helps show where Tae‐Bong Kang may publish in the future.

Co-authorship network of co-authors of Tae‐Bong Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Tae‐Bong Kang. A scholar is included among the top collaborators of Tae‐Bong 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 Tae‐Bong Kang. Tae‐Bong 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.
Lee, Sunghee, Yoon-Mi Lee, Seong‐Eun Park, et al.. (2024). Bacterial production and structure-function validation of a recombinant glucagon peptide. Process Biochemistry. 138. 23–32.
2.
Kang, Tae‐Bong, et al.. (2021). The Role of Tumor Necrosis Factor Alpha (TNF-α) in Autoimmune Disease and Current TNF-α Inhibitors in Therapeutics. International Journal of Molecular Sciences. 22(5). 2719–2719. 1033 indexed citations breakdown →
3.
Park, Jooho, et al.. (2020). Cinobufagin Suppresses Melanoma Cell Growth by Inhibiting LEF1. International Journal of Molecular Sciences. 21(18). 6706–6706. 24 indexed citations
4.
Kim, Young-Kyu, et al.. (2018). Inhibitory Effect and Mechanism of Arctium lappa Extract on NLRP3 Inflammasome Activation. Evidence-based Complementary and Alternative Medicine. 2018(1). 6346734–6346734. 12 indexed citations
5.
Shim, Do-Wan, Jiwon Han, Sushruta Koppula, et al.. (2016). Cichorium intybus Linn. Extract Prevents Type 2 Diabetes Through Inhibition of NLRP3 Inflammasome Activation. Journal of Medicinal Food. 19(3). 310–317. 21 indexed citations
6.
Han, Jiwon, Do-Wan Shim, Xiao Sun, et al.. (2016). Juniperus rigida Sieb. extract inhibits inflammatory responses via attenuation of TRIF-dependent signaling and inflammasome activation. Journal of Ethnopharmacology. 190. 91–99. 18 indexed citations
8.
Wallach, David, Tae‐Bong Kang, Seung‐Hoon Yang, & Andrew Kovalenko. (2013). The in vivo significance of necroptosis: Lessons from exploration of caspase-8 function. Cytokine & Growth Factor Reviews. 25(2). 157–165. 14 indexed citations
9.
Jiang, Jun, et al.. (2013). Indole-3-carbinol inhibits LPS-induced inflammatory response by blocking TRIF-dependent signaling pathway in macrophages. Food and Chemical Toxicology. 57. 256–261. 51 indexed citations
10.
Hong, Kwang‐Won, Young-Min Lee, Siyoung Lee, et al.. (2013). The inhibitory function of Fc-ST2 depends on cell type; IL-1RAcP and ST2 are necessary but insufficient for IL-33 activity. Immunologic Research. 56(1). 122–130. 7 indexed citations
11.
Bae, Seongman, Yong‐Gil Kim, Jene Choi, et al.. (2012). Elevated interleukin-32 expression in granulomatosis with polyangiitis. Lara D. Veeken. 51(11). 1979–1988. 18 indexed citations
12.
Kang, Tae‐Bong, Seung‐Hoon Yang, Beáta Tóth, Andrew Kovalenko, & David Wallach. (2012). Caspase-8 Blocks Kinase RIPK3-Mediated Activation of the NLRP3 Inflammasome. Immunity. 38(1). 27–40. 352 indexed citations
13.
Li, Hua, Jun Jiang, Seung Hwan Lee, et al.. (2011). MyD88-dependent toll-like receptor signaling is required for murine macrophages response to IS2. International Immunopharmacology. 11(10). 1578–1583. 6 indexed citations
14.
Rajput, Akhil, Andrew Kovalenko, Konstantin Bogdanov, et al.. (2011). RIG-I RNA Helicase Activation of IRF3 Transcription Factor Is Negatively Regulated by Caspase-8-Mediated Cleavage of the RIP1 Protein. Immunity. 34(3). 340–351. 161 indexed citations
15.
Lee, Kyung‐Bok, et al.. (2010). The Immunostimulatory Activity of The Water-Extract of Korean Mistletoe Fruit to Activate Murine Peritoneal Macrophages. Korean Journal of Pharmacognosy. 41(2). 122–129. 2 indexed citations
16.
Kang, Tae‐Bong, Gi‐Su Oh, Elke Scandella, et al.. (2008). Mutation of a Self-Processing Site in Caspase-8 Compromises Its Apoptotic but Not Its Nonapoptotic Functions in Bacterial Artificial Chromosome-Transgenic Mice. The Journal of Immunology. 181(4). 2522–2532. 103 indexed citations
17.
Kang, Tae‐Bong, Seong Kyu Song, Taek Joon Yoon, et al.. (2007). Isolation and Characterization of Two Korean Mistletoe Lectins. BMB Reports. 40(6). 959–965. 20 indexed citations
18.
Helfer, Brooke, Darren Finlay, Angel Ciprés, et al.. (2006). Caspase-8 Promotes Cell Motility and Calpain Activity under Nonapoptotic Conditions. Cancer Research. 66(8). 4273–4278. 112 indexed citations
19.
Kang, Tae‐Bong, et al.. (2001). Studies on the Immunological Function of Korean Mistletoe Lectin. Laboratory Animal Research. 17(3). 187–193. 1 indexed citations
20.
Yoon, Taek Joon, Yung Choon Yoo, Tae‐Bong Kang, et al.. (1999). Lectins isolated from Korean mistletoe (Viscum album coloratum) induce apoptosis in tumor cells. Cancer Letters. 136(1). 33–40. 76 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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