Sora Kang

828 total citations
52 papers, 660 citations indexed

About

Sora Kang is a scholar working on Materials Chemistry, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Sora Kang has authored 52 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 10 papers in Molecular Biology and 8 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Sora Kang's work include Effects and risks of endocrine disrupting chemicals (7 papers), Advanced Photocatalysis Techniques (7 papers) and Toxic Organic Pollutants Impact (5 papers). Sora Kang is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (7 papers), Advanced Photocatalysis Techniques (7 papers) and Toxic Organic Pollutants Impact (5 papers). Sora Kang collaborates with scholars based in South Korea, United States and United Kingdom. Sora Kang's co-authors include Youngmi Kim Pak, Misook Kang, Byeong Sub Kwak, Ying Piao, Young Cheol Kang, Vignesh Kumaravel, Younghwan Im, Kang Min Kim, Myung Sook Oh and Seung Jun Oh and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Electrochimica Acta.

In The Last Decade

Sora Kang

51 papers receiving 647 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sora Kang South Korea 16 140 129 101 97 83 52 660
Wanting Li China 18 124 0.9× 46 0.4× 90 0.9× 58 0.6× 60 0.7× 73 952
Xuekai Zhang China 17 178 1.3× 64 0.5× 133 1.3× 41 0.4× 45 0.5× 53 1.1k
Shen Tang China 13 179 1.3× 64 0.5× 37 0.4× 78 0.8× 35 0.4× 68 716
Yitong Zhu China 13 141 1.0× 66 0.5× 37 0.4× 20 0.2× 124 1.5× 27 666
Takeshi Moriguchi Japan 17 129 0.9× 65 0.5× 19 0.2× 74 0.8× 32 0.4× 63 1.0k
Prashant Tarale India 10 143 1.0× 85 0.7× 29 0.3× 88 0.9× 17 0.2× 19 458
Xinmei Zheng China 14 78 0.6× 151 1.2× 58 0.6× 313 3.2× 78 0.9× 25 681
Junzhi Yang China 20 136 1.0× 441 3.4× 42 0.4× 212 2.2× 25 0.3× 32 1.2k

Countries citing papers authored by Sora Kang

Since Specialization
Citations

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

Fields of papers citing papers by Sora Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sora Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Sora Kang. A scholar is included among the top collaborators of Sora 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 Sora Kang. Sora 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.
Jo, Yong‐Yeon, et al.. (2025). A novel XAI framework for explainable AI-ECG using generative counterfactual XAI (GCX). Scientific Reports. 15(1). 23608–23608. 1 indexed citations
2.
Jeon, Ki‐Hyun, Sora Kang, Hak Seung Lee, et al.. (2023). Identifying Atrial Fibrillation With Sinus Rhythm Electrocardiogram in Embolic Stroke of Undetermined Source: A Validation Study With Insertable Cardiac Monitors. Korean Circulation Journal. 53(11). 758–758. 6 indexed citations
3.
Jung, Young Mi, Sora Kang, Hak Seung Lee, et al.. (2023). Electrocardiogram-based deep learning model to screen peripartum cardiomyopathy. American Journal of Obstetrics & Gynecology MFM. 5(12). 101184–101184. 8 indexed citations
4.
Kang, Sora, et al.. (2023). Polystyrene Microplastics Exacerbate Systemic Inflammation in High-Fat Diet-Induced Obesity. International Journal of Molecular Sciences. 24(15). 12421–12421. 27 indexed citations
5.
Kang, Sora, Chul Park, Jinseok Lee, & Dukyong Yoon. (2022). Machine Learning Model for the Prediction of Hemorrhage in Intensive Care Units. Healthcare Informatics Research. 28(4). 364–375. 6 indexed citations
6.
Kang, Sora, et al.. (2021). DA-9805 protects dopaminergic neurons from endoplasmic reticulum stress and inflammation. Biomedicine & Pharmacotherapy. 145. 112389–112389. 7 indexed citations
7.
Duncan, Bruce Bartholow, Cristina Dickie de Castilhos, Paula A. Bracco, et al.. (2020). Aryl-hydrocarbon receptor binding and the incidence of type 2 diabetes: the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Environmental Health. 19(1). 105–105. 14 indexed citations
8.
Lee, Hong Kyu, Young Cheol Kang, Sora Kang, et al.. (2020). Serum biomarkers from cell-based assays for AhRL and MIS strongly predicted the future development of diabetes in a large community-based prospective study in Korea. Scientific Reports. 10(1). 6339–6339. 11 indexed citations
9.
Kang, Sora, et al.. (2020). Qi-activating quercetin alleviates mitochondrial dysfunction and neuroinflammation in vivo and in vitro. Archives of Pharmacal Research. 43(5). 553–566. 26 indexed citations
10.
Choi, Jaesung, et al.. (2019). Development of multi-well-based electrochemical dissolved oxygen sensor array. Sensors and Actuators B Chemical. 306. 127465–127465. 18 indexed citations
11.
Kang, Young Cheol, Sora Kang, Ying Piao, et al.. (2018). Cell-penetrating artificial mitochondria-targeting peptide-conjugated metallothionein 1A alleviates mitochondrial damage in Parkinson’s disease models. Experimental & Molecular Medicine. 50(8). 1–13. 59 indexed citations
12.
Kang, Sora, Hong Kyu Lee, Samira Salihović, et al.. (2017). Relationships between serum-induced AhR bioactivity or mitochondrial inhibition and circulating polychlorinated biphenyls (PCBs). Scientific Reports. 7(1). 9383–9383. 16 indexed citations
13.
Jeong, Jae Hoon, Young Cheol Kang, Ying Piao, Sora Kang, & Youngmi Kim Pak. (2017). miR-24-mediated knockdown of H2AX damages mitochondria and the insulin signaling pathway. Experimental & Molecular Medicine. 49(4). e313–e313. 23 indexed citations
14.
Kang, Sora, et al.. (2015). Electrochemical Performance of a Thin Fabric ZnO Anodic Material in a Free Membrane Ni–Zn Battery. Bulletin of the Korean Chemical Society. 36(9). 2394–2396. 1 indexed citations
15.
Yu, Hairong, et al.. (2015). PP.23.07. Journal of Hypertension. 33(Supplement 1). e339–e339. 1 indexed citations
16.
Kim, Tae‐Hyung, Sora Kang, Byung‐Keun Oh, & Jeong‐Woo Choi. (2011). Cell Chip for Detection of Silica Nanoparticle-Induced Cytotoxicity. Sensor Letters. 9(2). 861–865. 4 indexed citations
17.
Kang, Sora, et al.. (2006). Planktic Foraminiferal Assemblages of Core Sediments from the Korea Strait and Paleoceanographic Changes. Journal of the Korean earth science society. 27(4). 464–474. 4 indexed citations
18.
Kang, Sora, et al.. (2005). Late Quaternary Paleoenvironmental Changes in the Western Nakdong River delta. Journal of the Korean earth science society. 26(5). 443–458. 17 indexed citations
19.
Kang, Sora. (2003). Benthic Foraminiferal Biostratigraphy and Paleoenvironments of the Seogwipo Formation, Jeju Island, Korea. 19(2). 63–153. 11 indexed citations
20.
Kang, Sora, et al.. (2002). Benthic foraminiferal fauna from drilled cores of Jeju Island, Korea. 18(1). 1–10. 3 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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