Chang-Woo Song

567 total citations
31 papers, 459 citations indexed

About

Chang-Woo Song is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Chang-Woo Song has authored 31 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 9 papers in Molecular Biology and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Chang-Woo Song's work include Occupational and environmental lung diseases (6 papers), Air Quality and Health Impacts (4 papers) and Biomarkers in Disease Mechanisms (3 papers). Chang-Woo Song is often cited by papers focused on Occupational and environmental lung diseases (6 papers), Air Quality and Health Impacts (4 papers) and Biomarkers in Disease Mechanisms (3 papers). Chang-Woo Song collaborates with scholars based in South Korea, Japan and Netherlands. Chang-Woo Song's co-authors include Seokjoo Yoon, Han‐Jin Park, Jung‐Hwa Oh, Kyuhong Lee, Young‐Su Yang, Jae‐Woo Cho, Mi‐Jin Yang, Young Sook Lee, Young‐Jun Choi and Hyemin Kim and has published in prestigious journals such as PLoS ONE, International Journal of Radiation Oncology*Biology*Physics and Food and Chemical Toxicology.

In The Last Decade

Chang-Woo Song

31 papers receiving 449 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 Song South Korea 14 164 104 82 52 46 31 459
Chang‐Woo Song South Korea 10 201 1.2× 50 0.5× 63 0.8× 44 0.8× 12 0.3× 17 422
Yi Qi China 14 347 2.1× 101 1.0× 76 0.9× 109 2.1× 44 1.0× 24 644
Faizan Haider Khan India 15 281 1.7× 75 0.7× 58 0.7× 144 2.8× 23 0.5× 26 677
Yuri Sano Japan 10 379 2.3× 67 0.6× 22 0.3× 118 2.3× 45 1.0× 19 705
Susumu Ohshima Japan 13 157 1.0× 47 0.5× 66 0.8× 51 1.0× 39 0.8× 32 428
Fenghua Qian China 10 95 0.6× 54 0.5× 33 0.4× 30 0.6× 79 1.7× 18 382
Junyong Han China 14 300 1.8× 53 0.5× 35 0.4× 111 2.1× 34 0.7× 29 570
Ian Guest United States 16 207 1.3× 42 0.4× 38 0.5× 70 1.3× 17 0.4× 32 584
Frank Seiler Germany 11 149 0.9× 172 1.7× 153 1.9× 123 2.4× 11 0.2× 18 570
J. R. Hailey United States 8 81 0.5× 78 0.8× 43 0.5× 84 1.6× 11 0.2× 8 340

Countries citing papers authored by Chang-Woo Song

Since Specialization
Citations

This map shows the geographic impact of Chang-Woo Song'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 Song 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 Song more than expected).

Fields of papers citing papers by Chang-Woo Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Chang-Woo Song. A scholar is included among the top collaborators of Chang-Woo Song 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 Song. Chang-Woo Song 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.
Park, Han‐Jin, Young‐Jun Choi, Ji Woo Kim, et al.. (2015). Differences in the Epigenetic Regulation of Cytochrome P450 Genes between Human Embryonic Stem Cell-Derived Hepatocytes and Primary Hepatocytes. PLoS ONE. 10(7). e0132992–e0132992. 65 indexed citations
2.
Yang, Young‐Su, Seong‐Jin Choi, Byoung‐Seok Lee, et al.. (2013). Evaluation of subchronic inhalation toxicity of methylcyclopentane in rats. Food and Chemical Toxicology. 63. 186–194. 10 indexed citations
3.
Yang, Young‐Su, et al.. (2012). Nasal and Pulmonary Toxicity of Titanium Dioxide Nanoparticles in Rats. Toxicological Research. 28(4). 217–224. 26 indexed citations
4.
Yang, Young‐Su, Jin Soo Lee, Seong‐Jin Choi, et al.. (2010). LC50 Determination of tert-Butyl Acetate using a Nose Only Inhalation Exposure in Rats. Toxicological Research. 26(4). 293–300. 2 indexed citations
5.
Lee, Young Sook, Jung‐Hwa Oh, Seokjoo Yoon, et al.. (2010). Differential Gene Expression Profiles of Radioresistant Non–Small-Cell Lung Cancer Cell Lines Established by Fractionated Irradiation: Tumor Protein p53-Inducible Protein 3 Confers Sensitivity to Ionizing Radiation. International Journal of Radiation Oncology*Biology*Physics. 77(3). 858–866. 47 indexed citations
6.
7.
Oh, Jung‐Hwa, Mi‐Jin Yang, Young‐Su Yang, et al.. (2009). Microarray-Based Analysis of the Lung Recovery Process After Stainless-Steel Welding Fume Exposure in Sprague–Dawley Rats. Inhalation Toxicology. 21(4). 347–373. 17 indexed citations
8.
Kim, Jin Sung, et al.. (2009). Basic Principles of the Validation for Good Laboratory Practice Institutes. Toxicological Research. 25(1). 1–8. 2 indexed citations
9.
Yang, Mi‐Jin, Jin Sung Kim, Young‐Su Yang, et al.. (2008). Pulmonary Toxicity and Recovery from Inhalation of Manual Metal Arc Stainless Steel Welding Fumes in Rats. Toxicological Research. 24(2). 119–127. 4 indexed citations
10.
Cho, Jae‐Woo, et al.. (2008). Studies on N-Ethyl-N-nitrosourea Mutagenesis in BALB/c Mice. Toxicological Research. 24(1). 59–68. 9 indexed citations
11.
Yang, Young‐Su, et al.. (2008). Study of a BALB/c Mouse Model for Allergic Asthma. Toxicological Research. 24(4). 253–261. 3 indexed citations
12.
Oh, Jung‐Hwa, Han‐Jin Park, Sun Hee Heo, et al.. (2007). Gene Expression Analysis of Lung Injury in Rats Induced by Exposure to MMA-SS Welding Fume for 30 Days. Molecular & Cellular Toxicology. 3(4). 306–313. 6 indexed citations
13.
Takahashi, Masahiro, et al.. (2007). Distinct Pattern of Allelic Loss and Inactivation of Cadherin 1 and 5 Genes in Mammary Carcinomas Arising in p53+/- Mice. Journal of Radiation Research. 48(2). 143–152. 2 indexed citations
14.
Park, Jung Duck, Yong Hyun Chung, In Kyu Yu, et al.. (2007). Comparison of High MRI T1 Signals with Manganese Concentration in Brains of Cynomolgus Monkeys After 8 Months of Stainless Steel Welding-Fume Exposure. Inhalation Toxicology. 19(11). 965–971. 27 indexed citations
15.
Sung, Jae Hyuck, Hae‐Kwan Cheong, Jong Seong Lee, et al.. (2006). Changes in Blood Manganese Concentration and MRI T1 Relaxation Time During 180 Days of Stainless Steel Welding-Fume Exposure in Cynomolgus Monkeys. Inhalation Toxicology. 19(1). 47–55. 16 indexed citations
16.
Nam, Ki Taek, Chang-Woo Song, Hai Kwan Jung, et al.. (2002). Effect of Glycolic Acid on UVB-Induced Skin Damage and Inflammation in Guinea Pigs. Skin Pharmacology and Physiology. 15(4). 236–245. 14 indexed citations
17.
Rhee, Sang Dal, et al.. (2000). Genetic Analysis of Autosomal Recessive Cataract Gene, Ir2, Using Intersubspecific F₂ Mice. Laboratory Animal Research. 16(3). 189–194. 1 indexed citations
18.
Kim, Young Ho, et al.. (2000). Effects of Some Crude Drug Extracts on the Brain Neurotransmitters in the Ethanol-Treated Rats. Analytical Science and Technology. 13(5). 630–635. 2 indexed citations
19.
Lee, Ho-Sub, et al.. (1999). Effects of Green Tea Extract and Its Components on the Brain Neurotransmitters in ICR Mice. Laboratory Animal Research. 15(3). 251–255. 1 indexed citations
20.
Song, Chang-Woo, et al.. (1997). Mapping of new recessive cataract gene (itIr2) in the mouse. Mammalian Genome. 8(12). 927–931. 11 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026