Tae-Wook Kang

1.6k total citations
37 papers, 1.3k citations indexed

About

Tae-Wook Kang is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Tae-Wook Kang has authored 37 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 9 papers in Genetics and 8 papers in Cancer Research. Recurrent topics in Tae-Wook Kang's work include Genomics and Phylogenetic Studies (10 papers), Epigenetics and DNA Methylation (8 papers) and RNA modifications and cancer (7 papers). Tae-Wook Kang is often cited by papers focused on Genomics and Phylogenetic Studies (10 papers), Epigenetics and DNA Methylation (8 papers) and RNA modifications and cancer (7 papers). Tae-Wook Kang collaborates with scholars based in South Korea, United States and Japan. Tae-Wook Kang's co-authors include Seon‐Young Kim, Su‐Jin Baek, Eun‐Jung Cho, Yoo‐Wook Kwon, Sungho Yoon, Hong‐Duk Youn, Tae Wan Kim, Hyonchol Jang, Yongsu Jeong and Jin Mi Chun and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Tae-Wook Kang

34 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tae-Wook Kang South Korea 17 978 318 168 133 132 37 1.3k
Montserrat Barragán Spain 26 1.3k 1.3× 165 0.5× 180 1.1× 233 1.8× 307 2.3× 51 2.2k
Shigehiro Osada Japan 23 1.2k 1.2× 195 0.6× 179 1.1× 124 0.9× 175 1.3× 58 1.6k
Chao Yu China 25 1.5k 1.5× 172 0.5× 214 1.3× 118 0.9× 144 1.1× 60 1.9k
Kyu Heo South Korea 30 1.4k 1.4× 366 1.2× 125 0.7× 165 1.2× 380 2.9× 58 2.0k
Christy R. Hagan United States 20 543 0.6× 150 0.5× 375 2.2× 158 1.2× 335 2.5× 35 1.3k
Feng Yan United States 22 1.2k 1.3× 149 0.5× 113 0.7× 130 1.0× 260 2.0× 39 1.6k
Shing Leng Chan Singapore 22 977 1.0× 258 0.8× 89 0.5× 143 1.1× 375 2.8× 33 1.4k
Hongyu Wang China 16 1.2k 1.2× 263 0.8× 163 1.0× 111 0.8× 129 1.0× 44 1.5k
David J. Feith United States 27 1.5k 1.5× 207 0.7× 94 0.6× 337 2.5× 334 2.5× 90 2.0k
Claudine Rauch France 19 907 0.9× 162 0.5× 346 2.1× 173 1.3× 174 1.3× 30 1.5k

Countries citing papers authored by Tae-Wook Kang

Since Specialization
Citations

This map shows the geographic impact of Tae-Wook 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-Wook 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-Wook Kang more than expected).

Fields of papers citing papers by Tae-Wook Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tae-Wook Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Tae-Wook Kang. A scholar is included among the top collaborators of Tae-Wook 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-Wook Kang. Tae-Wook 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, Jin-Young, Won Park, Hyun‐Joong Kim, et al.. (2024). Multi-omics analysis sandbox toolkit for swift derivations of clinically relevant genesets and biomarkers. BMB Reports. 57(12). 521–526. 2 indexed citations
2.
Kang, Tae-Wook, et al.. (2023). The study on the complete mitochondrial genome of Acanthopsetta nadeshnyi and its phylogenetic position. SHILAP Revista de lepidopterología. 8(8). 852–856. 3 indexed citations
3.
Kim, Jinho, et al.. (2023). Characteristics and phylogenetic analysis of the complete mitochondrial genome of Microstomus achne. SHILAP Revista de lepidopterología. 8(2). 224–228. 1 indexed citations
4.
Kang, Tae-Wook, et al.. (2021). Effect of meteorological factors and air pollutants on fractures: a nationwide population-based ecological study. BMJ Open. 11(6). e047000–e047000. 8 indexed citations
5.
Lee, A Yeong, et al.. (2018). Network pharmacology-based prediction of active compounds and molecular targets in Yijin-Tang acting on hyperlipidaemia and atherosclerosis. Journal of Ethnopharmacology. 221. 151–159. 114 indexed citations
6.
Kim, Jin Cheon, Jin Cheon Kim, Ye Jin Ha, et al.. (2013). Novel Single-Nucleotide Polymorphism Markers Predictive of Pathologic Response to Preoperative Chemoradiation Therapy in Rectal Cancer Patients. International Journal of Radiation Oncology*Biology*Physics. 86(2). 350–357. 27 indexed citations
7.
Kim, Mirang, Youngkyu Park, Tae-Wook Kang, et al.. (2013). Dynamic changes in DNA methylation and hydroxymethylation when hES cells undergo differentiation toward a neuronal lineage. Human Molecular Genetics. 23(3). 657–667. 73 indexed citations
8.
Park, Seongmin, Sung‐Joon Park, Hee‐Jin Kim, et al.. (2013). A known expressed sequence tag, BM742401, is a potent lincRNA inhibiting cancer metastasis. Experimental & Molecular Medicine. 45(7). e31–e31. 45 indexed citations
9.
Baek, Su‐Jin, et al.. (2012). MENT: Methylation and expression database of normal and tumor tissues. Gene. 518(1). 194–200. 34 indexed citations
10.
Cho, Kun, Jin Young Kim, Tae-Wook Kang, et al.. (2012). Quantitative Phosphoproteomics of the Human Neural Stem Cell Differentiation into Oligodendrocyte by Mass Spectrometry. 3(4). 93–100. 3 indexed citations
11.
Park, Seong-Yeon, Jeong‐Hwan Kim, Tae-Wook Kang, et al.. (2012). Genome-wide mRNA profiling and multiplex quantitative RT-PCR for forensic body fluid identification. Forensic Science International Genetics. 7(1). 143–150. 54 indexed citations
12.
Park, Youngkyu, Tae-Wook Kang, Su‐Jin Baek, et al.. (2012). CaGe: A Web-Based Cancer Gene Annotation System for Cancer Genomics. Genomics & Informatics. 10(1). 33–33. 7 indexed citations
13.
Kwon, Oh‐Hyung, Tae-Wook Kang, Jeonghwan Kim, et al.. (2012). Pyruvate kinase M2 promotes the growth of gastric cancer cells via regulation of Bcl-xL expression at transcriptional level. Biochemical and Biophysical Research Communications. 423(1). 38–44. 62 indexed citations
14.
Park, Sung‐Joon, Tae-Wook Kang, Mirang Kim, et al.. (2011). Elevated fibroblast growth factor-inducible 14 expression promotes gastric cancer growth via nuclear factor-κB and is associated with poor patient outcome. Cancer Letters. 314(1). 73–81. 35 indexed citations
15.
Kang, Ilnam, Dongmin Kang, Hee‐Mock Oh, et al.. (2011). Genome Sequence of Strain IMCC2047, a Novel Marine Member of the Gammaproteobacteria. Journal of Bacteriology. 193(14). 3688–3689. 6 indexed citations
16.
Lee, Yong Seok, et al.. (2008). WSPMaker: a web tool for calculating selection pressure in proteins and domains using window-sliding. BMC Bioinformatics. 9(S12). S13–S13. 10 indexed citations
17.
Kang, Tae-Wook, Yeo-Jin Jeon, Eun-Su Jang, et al.. (2008). Copy number variations (CNVs) identified in Korean individuals. BMC Genomics. 9(1). 492–492. 17 indexed citations
18.
Kang, Tae-Wook, et al.. (2006). Molecular phylogeny and distribution of far eastern Oryzias latipes based on mitochondrial cytochrome b gene sequence. KRIBB Repository. 18(1). 12–19. 2 indexed citations
19.
Kang, Tae-Wook, et al.. (2006). The complete mitogenome ofRhodeus uyekii(Cypriniformes, Cyprinidae). DNA sequence. 17(3). 181–186. 25 indexed citations
20.
Kang, Tae-Wook, et al.. (2005). PrimateDB: Development of Primate Genome DB and Web Service. Genomics & Informatics. 3(2). 73–76.

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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