Sung‐Chao Chu

1.4k total citations · 1 hit paper
37 papers, 948 citations indexed

About

Sung‐Chao Chu is a scholar working on Pulmonary and Respiratory Medicine, Reproductive Medicine and Oncology. According to data from OpenAlex, Sung‐Chao Chu has authored 37 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 9 papers in Reproductive Medicine and 8 papers in Oncology. Recurrent topics in Sung‐Chao Chu's work include Ovarian cancer diagnosis and treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Reproductive Biology and Fertility (7 papers). Sung‐Chao Chu is often cited by papers focused on Ovarian cancer diagnosis and treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Reproductive Biology and Fertility (7 papers). Sung‐Chao Chu collaborates with scholars based in Taiwan, United States and Yemen. Sung‐Chao Chu's co-authors include Wen‐Hung Chung, Wen‐Hung Chung, Shien-Ping Huang, Chun-Yu Wei, Hsin‐Chun Ho, You‐Di Liao, Chien-Chun Chiou, Chih-Hsun Yang, Shih‐Chi Su and Jui‐Yung Yang and has published in prestigious journals such as Nature Medicine, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Sung‐Chao Chu

32 papers receiving 933 citations

Hit Papers

Granulysin is a key mediator for disseminated keratinocyt... 2008 2026 2014 2020 2008 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Granulysin is a key mediator for disseminated keratinocyte death in Stevens-Johnson syndrome and toxic epidermal necrolysis
    2008 558 citations Sung‐Chao Chu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sung‐Chao Chu Taiwan 11 479 287 264 188 131 37 948
CK Lee South Korea 16 85 0.2× 262 0.9× 75 0.3× 20 0.1× 186 1.4× 40 939
Francesca Nencini Italy 17 224 0.5× 205 0.7× 47 0.2× 85 0.5× 396 3.0× 51 901
Ceara AE Walsh Ireland 10 66 0.1× 394 1.4× 84 0.3× 57 0.3× 198 1.5× 11 717
E. Palazzo France 18 77 0.2× 509 1.8× 152 0.6× 43 0.2× 151 1.2× 49 888
Warren W. Piette United States 17 50 0.1× 233 0.8× 274 1.0× 293 1.6× 77 0.6× 36 822
Viswanath Reddy Belum United States 17 89 0.2× 34 0.1× 77 0.3× 369 2.0× 95 0.7× 25 1.1k
Claudia Alpini Italy 16 9 0.0× 524 1.8× 152 0.6× 46 0.2× 197 1.5× 32 835
Ibtissem Ghédira Tunisia 18 17 0.0× 276 1.0× 85 0.3× 28 0.1× 251 1.9× 70 885
Christine E. Codding United States 9 52 0.1× 613 2.1× 120 0.5× 51 0.3× 505 3.9× 9 1.2k
Chiara Bazzani Italy 17 24 0.1× 559 1.9× 65 0.2× 19 0.1× 240 1.8× 38 840

Countries citing papers authored by Sung‐Chao Chu

Since Specialization
Citations

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

Fields of papers citing papers by Sung‐Chao Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung‐Chao Chu. 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 Sung‐Chao Chu. The network helps show where Sung‐Chao Chu may publish in the future.

Co-authorship network of co-authors of Sung‐Chao Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Sung‐Chao Chu. A scholar is included among the top collaborators of Sung‐Chao Chu 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 Sung‐Chao Chu. Sung‐Chao Chu 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
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Chu, Sung‐Chao, et al.. (2024). Epidermal growth factor receptor ligands enriched in follicular fluid exosomes promote oncogenesis of fallopian tube epithelial cells. Cancer Cell International. 24(1). 424–424. 1 indexed citations
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Chu, Sung‐Chao, et al.. (2024). Improving platelet function following prophylactic platelet transfusion in patients with hematological malignancies. International Journal of Laboratory Hematology. 46(4). 722–730.
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Chen, Yu‐Hung, Kun‐Han Lue, Chih‐Bin Lin, et al.. (2023). Genomic and Glycolytic Entropy Are Reliable Radiogenomic Heterogeneity Biomarkers for Non-Small Cell Lung Cancer. International Journal of Molecular Sciences. 24(4). 3988–3988. 6 indexed citations
7.
Chu, Sung‐Chao, et al.. (2023). Case Report: Ribociclib-induced phototoxicity presented as dyschromia with subsequent bullae formation. Frontiers in Oncology. 13. 1184738–1184738. 1 indexed citations
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Chen, Yu‐Hung, et al.. (2022). Glucose metabolic heterogeneity correlates with pathological features and improves survival stratification of resectable lung adenocarcinoma. Annals of Nuclear Medicine. 37(2). 139–150. 6 indexed citations
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Chu, Tang‐Yuan, et al.. (2022). Effect of ovulation IGF and HGF signaling on the oncogenesis of murine epithelial ovarian cancer cell ID8. Experimental Cell Research. 419(2). 113323–113323. 3 indexed citations
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Lue, Kun‐Han, Sung‐Chao Chu, Lingyi Wang, et al.. (2021). Tumor glycolytic heterogeneity improves detection of regional nodal metastasis in patients with lung adenocarcinoma. Annals of Nuclear Medicine. 36(3). 256–266. 8 indexed citations
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Hsieh, Tsung‐Cheng, et al.. (2021). Designing a Scoring System for Differential Diagnosis From Reactive Thrombocytosis and Essential Thrombocytosis. Frontiers in Medicine. 8. 736150–736150. 1 indexed citations
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Wang, Tso‐Fu, et al.. (2021). AQP0 is a novel surface marker for deciphering abnormal erythropoiesis. Stem Cell Research & Therapy. 12(1). 274–274. 4 indexed citations
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Chu, Tang‐Yuan, Sung‐Chao Chu, Chia‐Jung Hsieh, Tso‐Fu Wang, & Mun-Kun Hong. (2019). Younger tamoxifen-treated breast cancer patients also had higher risk of endometrial cancer and the risk could be reduced by sequenced aromatase inhibitor use: A population-based study in Taiwan. Tzu Chi Medical Journal. 32(2). 175–175. 8 indexed citations
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Chen, Yu‐Hung, Kai‐Ping Chang, Sung‐Chao Chu, et al.. (2018). Value of early evaluation of treatment response using 18F-FDG PET/CT parameters and the Epstein-Barr virus DNA load for prediction of outcome in patients with primary nasopharyngeal carcinoma. European Journal of Nuclear Medicine and Molecular Imaging. 46(3). 650–660. 28 indexed citations
17.
Chu, Sung‐Chao, Chia‐Jung Hsieh, Tso‐Fu Wang, Mun-Kun Hong, & Tang‐Yuan Chu. (2017). Antiestrogen use in breast cancer patients reduces the risk of subsequent lung cancer: A population-based study. Cancer Epidemiology. 48. 22–28. 22 indexed citations
18.
Huang, Hsuan-Shun, Sung‐Chao Chu, & Tang‐Yuan Chu. (2015). Efficient analyses of DNA double-strand breaks and the cell cycle in the secretory epithelial cells of fallopian tube fimbriae. Tzu Chi Medical Journal. 27(3). 102–106.
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Huang, Hsuan-Shun, et al.. (2015). Mutagenic, surviving and tumorigenic effects of follicular fluid in the context of p53 loss: initiation of fimbria carcinogenesis. Carcinogenesis. 36(11). 1419–1428. 58 indexed citations
20.
Loken, Michael R., et al.. (2008). Normalization of bone marrow aspirates for hemodilution in flow cytometric analyses. Cytometry Part B Clinical Cytometry. 76B(1). 27–36. 65 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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