Chang Woo Han

1.4k total citations
78 papers, 1.1k citations indexed

About

Chang Woo Han is a scholar working on Molecular Biology, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Chang Woo Han has authored 78 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 11 papers in Artificial Intelligence and 11 papers in Cancer Research. Recurrent topics in Chang Woo Han's work include Speech Recognition and Synthesis (10 papers), Speech and Audio Processing (9 papers) and Cancer, Hypoxia, and Metabolism (7 papers). Chang Woo Han is often cited by papers focused on Speech Recognition and Synthesis (10 papers), Speech and Audio Processing (9 papers) and Cancer, Hypoxia, and Metabolism (7 papers). Chang Woo Han collaborates with scholars based in South Korea, United States and China. Chang Woo Han's co-authors include Se Bok Jang, Mi Suk Jeong, Ki‐Tae Ha, Mi-Ju Park, Myungsoo Joo, Tae‐Wook Chung, Kyun Ha Kim, Han-Sol Jeong, Eun-Yeong Kim and Min Jung Kwun and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Chang Woo Han

72 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chang Woo Han South Korea 21 629 240 135 128 102 78 1.1k
Wenjie Wang China 19 493 0.8× 208 0.9× 126 0.9× 179 1.4× 115 1.1× 58 1.5k
Chao‐Yue Sun China 22 572 0.9× 188 0.8× 93 0.7× 123 1.0× 85 0.8× 36 1.1k
Haiming Shi China 24 966 1.5× 222 0.9× 148 1.1× 130 1.0× 114 1.1× 101 1.9k
Zheng Yang China 28 814 1.3× 163 0.7× 134 1.0× 213 1.7× 172 1.7× 51 1.7k
Mingqing Dong China 27 677 1.1× 182 0.8× 138 1.0× 94 0.7× 122 1.2× 68 1.5k
Junyan Wang China 22 878 1.4× 293 1.2× 180 1.3× 191 1.5× 93 0.9× 79 1.5k
Tongda Xu China 23 480 0.8× 152 0.6× 139 1.0× 119 0.9× 73 0.7× 77 1.4k
Xiaohong Lv China 20 492 0.8× 167 0.7× 123 0.9× 81 0.6× 69 0.7× 55 1.0k
Ying Song China 23 454 0.7× 227 0.9× 149 1.1× 72 0.6× 232 2.3× 79 1.5k
Linfu Li China 19 542 0.9× 111 0.5× 93 0.7× 109 0.9× 94 0.9× 59 1.2k

Countries citing papers authored by Chang Woo Han

Since Specialization
Citations

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

Fields of papers citing papers by Chang Woo Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang Woo Han. 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 Woo Han. The network helps show where Chang Woo Han may publish in the future.

Co-authorship network of co-authors of Chang Woo Han

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Woo Han. A scholar is included among the top collaborators of Chang Woo Han 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 Woo Han. Chang Woo Han 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.
Kim, Hyeon Jin, Chang Woo Han, Mi Suk Jeong, et al.. (2025). Cryo-EM structure of HMGB1-RAGE complex and its inhibitory effect on lung cancer. Biomedicine & Pharmacotherapy. 187. 118088–118088. 2 indexed citations
2.
Han, Chang Woo, et al.. (2024). Structural basis for T cell immunoglobulin and mucin protein 3 and Toxascaris leonina galectin complex. Biochemical and Biophysical Research Communications. 697. 149544–149544.
3.
Han, Chang Woo, et al.. (2024). Structural identification and comprehension of human ALDH1L1-Gossypol complex. Biochemical and Biophysical Research Communications. 726. 150306–150306. 1 indexed citations
4.
Kim, Hyeon Jin, Chang Woo Han, Mi Suk Jeong, & Se Bok Jang. (2024). Cryo-EM structure of Influenza A virus NS1 and antiviral protein kinase PKR complex. Biochemical and Biophysical Research Communications. 706. 149728–149728. 1 indexed citations
5.
Dang, Li, Minghao Li, Minghao Li, et al.. (2024). Integrative multiomics analysis reveals association of gut microbiota and its metabolites with susceptibility to keloids. Frontiers in Microbiology. 15. 1475984–1475984. 1 indexed citations
6.
Han, Chang Woo, et al.. (2024). Structural basis of lactate dehydrogenase A-gossypol complex. Biochemical and Biophysical Research Communications. 733. 150721–150721. 5 indexed citations
7.
Han, Chang Woo, Mi Suk Jeong, & Se Bok Jang. (2024). Influence of the interaction between p53 and ZNF568 on mitochondrial oxidative phosphorylation. International Journal of Biological Macromolecules. 275(Pt 2). 133314–133314. 2 indexed citations
8.
Kim, Hyeon Jin, Chang Woo Han, Mi Suk Jeong, & Se Bok Jang. (2023). Structural study of novel vaccinia virus E3L and dsRNA-dependent protein kinase complex. Biochemical and Biophysical Research Communications. 665. 1–9. 2 indexed citations
9.
Kim, Hyeon Jin, Chang Woo Han, Mi Suk Jeong, & Se Bok Jang. (2022). Structural basis of the oncogenic KRAS mutant and GJ101 complex. Biochemical and Biophysical Research Communications. 641. 27–33. 3 indexed citations
10.
Han, Chang Woo, Han Na Lee, Mi Suk Jeong, Mi-Ju Park, & Se Bok Jang. (2021). Structural basis of the p53 DNA binding domain and PUMA complex. Biochemical and Biophysical Research Communications. 548. 39–46. 11 indexed citations
11.
Han, Chang Woo, Mi Suk Jeong, & Se Bok Jang. (2021). Understand KRAS and the Quest for Anti-Cancer Drugs. Cells. 10(4). 842–842. 17 indexed citations
12.
Han, Chang Woo, Mi Suk Jeong, Sung Chul Ha, & Se Bok Jang. (2020). A H-REV107 Peptide Inhibits Tumor Growth and Interacts Directly with Oncogenic KRAS Mutants. Cancers. 12(6). 1412–1412. 11 indexed citations
13.
Kim, Kyun Ha, Min Jung Kwun, Ji Yeon Lee, et al.. (2018). Differential Regulation of NF‐κB and Nrf2 by Bojungikki‐Tang Is Associated with Suppressing Lung Inflammation. Evidence-based Complementary and Alternative Medicine. 2018(1). 5059469–5059469. 9 indexed citations
14.
Kim, Jae Hyeon, et al.. (2015). Kaurenoic acid, a Diterpene Derived from Aralia continentalis, Alleviates Lipogenesis in HepG2 Cells.. 36(4). 74–79. 1 indexed citations
15.
Kim, Kyun Ha, Min Jung Kwun, Jun‐Yong Choi, et al.. (2013). Therapeutic Effect of the Tuber ofAlisma orientaleon Lipopolysaccharide-Induced Acute Lung Injury. Evidence-based Complementary and Alternative Medicine. 2013. 1–10. 19 indexed citations
16.
17.
Han, Chang Woo, et al.. (2010). Changes of quality of life and subjective stress after the oriental medicine treatment, among the patinets who had visited hospital due to traffic accidents. Journal of Oriental Neuropsychiatry. 21(2). 17–28. 3 indexed citations
18.
Han, Chang Woo, et al.. (2010). Phone mismatch penalty matrices for two-stage keyword spotting via multi-pass phone recognizer. 202–205. 1 indexed citations
19.
Woo, Im Sun, So Young Eun, Eun Sil Kang, et al.. (2008). Identification of ADP-ribosylation factor 4 as a suppressor of N-(4-hydroxyphenyl)retinamide-induced cell death. Cancer Letters. 276(1). 53–60. 21 indexed citations
20.
Han, Chang Woo, et al.. (2008). The Relationship between Depressive Symptoms and Heart Rate Variability in a Rural Area. Korean Journal of Stress Research. 16(3). 191–198. 1 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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