Jason Kang

1.4k total citations
22 papers, 1.0k citations indexed

About

Jason Kang is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jason Kang has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jason Kang's work include Genomic variations and chromosomal abnormalities (5 papers), Chromosomal and Genetic Variations (3 papers) and Cancer Genomics and Diagnostics (3 papers). Jason Kang is often cited by papers focused on Genomic variations and chromosomal abnormalities (5 papers), Chromosomal and Genetic Variations (3 papers) and Cancer Genomics and Diagnostics (3 papers). Jason Kang collaborates with scholars based in South Korea, United States and Puerto Rico. Jason Kang's co-authors include Jeffrey E. Green, Michael R. Emmert‐Buck, Carolyn J.M. Best, Alfonso Calvo, Cheryl L. Jorcyk, Wenteh Chang, Jessica A. Ross, Emily Anderson, Glenn D. Rosen and Ke Wei and has published in prestigious journals such as Journal of Biological Chemistry, The Plant Cell and The FASEB Journal.

In The Last Decade

Jason Kang

21 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Kang South Korea 14 679 197 188 146 145 22 1.0k
Yui Yamashita Japan 21 922 1.4× 171 0.9× 141 0.8× 132 0.9× 134 0.9× 46 1.3k
Xiangrong Cao China 15 553 0.8× 69 0.4× 92 0.5× 353 2.4× 151 1.0× 43 926
Ling Shuai China 21 872 1.3× 142 0.7× 182 1.0× 100 0.7× 178 1.2× 75 1.2k
Weiyan Peng China 21 814 1.2× 56 0.3× 306 1.6× 202 1.4× 46 0.3× 43 1.2k
Tae-Wook Kang South Korea 17 978 1.4× 88 0.4× 318 1.7× 132 0.9× 168 1.2× 37 1.3k
Ünal Egelí Türkiye 20 759 1.1× 95 0.5× 475 2.5× 254 1.7× 241 1.7× 124 1.4k
Shuyan Li China 17 600 0.9× 114 0.6× 240 1.3× 130 0.9× 81 0.6× 53 879
Wen-Chun Hung Taiwan 25 809 1.2× 58 0.3× 369 2.0× 366 2.5× 62 0.4× 30 1.3k
Xiaojun Zha China 20 1.0k 1.5× 321 1.6× 582 3.1× 208 1.4× 137 0.9× 53 1.6k

Countries citing papers authored by Jason Kang

Since Specialization
Citations

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

Fields of papers citing papers by Jason Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Kang. A scholar is included among the top collaborators of Jason 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 Jason Kang. Jason 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.
Gniadek, Thomas J., et al.. (2023). Framework for Classifying Explainable Artificial Intelligence (XAI) Algorithms in Clinical Medicine. Online Journal of Public Health Informatics. 15. e50934–e50934. 2 indexed citations
2.
Huang, Thomas, Alex Dunn, Jason Kang, et al.. (2022). An Advanced Open-Source Platform for Air Quality Analysis, Visualization, and Prediction. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 6574–6577.
3.
Kang, Jason, et al.. (2020). Predictors of mortality in patients with VA-extracorporeal membrane oxygenation. European Heart Journal. 41(Supplement_2). 3 indexed citations
4.
Toth, Jennifer, et al.. (2009). Granular Cell Tumor of Trachea. Journal of Bronchology & Interventional Pulmonology. 16(1). 68–69. 3 indexed citations
5.
Cho, Soo Churl, Seon‐Hee Yim, Hanik K. Yoo, et al.. (2009). Copy number variations associated with idiopathic autism identified by whole-genome microarray-based comparative genomic hybridization. Psychiatric Genetics. 19(4). 177–185. 26 indexed citations
6.
Lu, Xinyan, Yaojuan Lu, Jason Kang, et al.. (2008). Cell Cycle Regulator Gene CDC5L , a Potential Target for 6p12-p21 Amplicon in Osteosarcoma. Molecular Cancer Research. 6(6). 937–946. 65 indexed citations
7.
Han, Wonshik, Jihyoung Cho, Jong Won Lee, et al.. (2008). DNA copy number alterations and expression of relevant genes in triple‐negative breast cancer. Genes Chromosomes and Cancer. 47(6). 490–499. 84 indexed citations
8.
Hwang, Ki‐Tae, Wonshik Han, Jihyoung Cho, et al.. (2008). Genomic copy number alterations as predictive markers of systemic recurrence in breast cancer. International Journal of Cancer. 123(8). 1807–1815. 36 indexed citations
9.
Lee, Seung Ku, Min Ho Kim, Jae Youn Cheong, et al.. (2008). Genetic association between the collagen type III alpha 1 polymorphism and its haplotypes with chronic hepatitis B in Koreans. The FASEB Journal. 22(S1). 1 indexed citations
10.
Yamamoto, Yoshiaki, Yasuyo Chochi, Hideyasu Matsuyama, et al.. (2007). Gain of 5p15.33 Is Associated with Progression of Bladder Cancer. Oncology. 72(1-2). 132–138. 71 indexed citations
11.
Son, Dae‐Soon, Jinseon Lee, Kyung‐Ah Kim, et al.. (2006). The Signature from Messenger RNA Expression Profiling Can Predict Lymph Node Metastasis with High Accuracy for Non-small Cell Lung Cancer. Journal of Thoracic Oncology. 1(7). 622–628. 9 indexed citations
12.
Han, Wonshik, Mi-Ryung Han, Jason Kang, et al.. (2006). Genomic alterations identified by array comparative genomic hybridization as prognostic markers in tamoxifen-treated estrogen receptor-positive breast cancer. BMC Cancer. 6(1). 92–92. 56 indexed citations
13.
Hwang, Chang‐Il, Jason Kang, Ji-Hoon Kim, et al.. (2006). Selection of Neural Differentiation‐Specific Genes by Comparing Profiles of Random Differentiation. Stem Cells. 24(8). 1946–1955. 29 indexed citations
14.
Son, Dae‐Soon, Jinseon Lee, Kyung‐Ah Kim, et al.. (2006). The Signature from Messenger RNA Expression Profiling Can Predict Lymph Node Metastasis with High Accuracy for Non-small Cell Lung Cancer. Journal of Thoracic Oncology. 1(7). 622–628. 5 indexed citations
15.
Kang, Jason, et al.. (2006). Genetic Alterations in Primary Gastric Carcinomas Correlated with Clinicopathological Variables by Array Comparative Genomic Hybridization. Journal of Korean Medical Science. 21(4). 656–656. 24 indexed citations
16.
Best, Carolyn J.M., Rodrigo Chuaqui, John W. Gillespie, et al.. (2003). Molecular Differentiation of High- and Moderate-Grade Human Prostate Cancer by cDNA Microarray Analysis. Diagnostic Molecular Pathology. 12(2). 63–70. 30 indexed citations
17.
Kang, Jason, et al.. (2002). Ventral prostate predominant l, a novel mouse gene expressed exclusively in the prostate*. The Prostate. 51(1). 21–29. 5 indexed citations
18.
Chang, Wenteh, Jason Kang, Ke Wei, et al.. (2001). Triptolide and Chemotherapy Cooperate in Tumor Cell Apoptosis. Journal of Biological Chemistry. 276(3). 2221–2227. 145 indexed citations
19.
Kang, Jason, Michael D. Schaber, Srinivasa M. Srinivasula, et al.. (1999). Cascades of Mammalian Caspase Activation in the YeastSaccharomyces cerevisiae. Journal of Biological Chemistry. 274(5). 3189–3198. 77 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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