Sheng-Chieh Chan

3.3k total citations
69 papers, 2.4k citations indexed

About

Sheng-Chieh Chan is a scholar working on Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sheng-Chieh Chan has authored 69 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Otorhinolaryngology, 37 papers in Radiology, Nuclear Medicine and Imaging and 28 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sheng-Chieh Chan's work include Head and Neck Cancer Studies (38 papers), Radiomics and Machine Learning in Medical Imaging (21 papers) and Medical Imaging Techniques and Applications (20 papers). Sheng-Chieh Chan is often cited by papers focused on Head and Neck Cancer Studies (38 papers), Radiomics and Machine Learning in Medical Imaging (21 papers) and Medical Imaging Techniques and Applications (20 papers). Sheng-Chieh Chan collaborates with scholars based in Taiwan, United States and Sweden. Sheng-Chieh Chan's co-authors include Shu‐Hang Ng, Chun‐Ta Liao, Joseph Tung‐Chieh Chang, Tzu‐Chen Yen, Hung‐Ming Wang, Sheung‐Fat Ko, Tzu‐Chen Yen, Hung‐Ming Wang, Kang‐Hsing Fan and Hung-Ming Wang and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Annals of Surgery.

In The Last Decade

Sheng-Chieh Chan

68 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sheng-Chieh Chan Taiwan	32	1.5k	1.2k	1.0k	807	682	69	2.4k
Min Yao United States	27	1.4k 0.9×	522 0.5×	943 0.9×	818 1.0×	573 0.8×	112	2.2k
Rui Guo China	27	1.5k 1.0×	365 0.3×	904 0.9×	634 0.8×	891 1.3×	93	2.2k
Claus Andrup Kristensen Denmark	25	1.0k 0.7×	348 0.3×	957 0.9×	736 0.9×	958 1.4×	98	2.1k
Kinji Nishiyama Japan	22	384 0.3×	248 0.2×	768 0.8×	727 0.9×	521 0.8×	63	1.6k
Jean‐François Daisne Belgium	20	752 0.5×	1.1k 1.0×	667 0.7×	698 0.9×	625 0.9×	62	2.2k
Clayton Akazawa United States	15	1.4k 0.9×	379 0.3×	969 1.0×	987 1.2×	423 0.6×	24	2.1k
B. Rhein France	11	1.9k 1.2×	180 0.2×	1.3k 1.3×	852 1.1×	741 1.1×	19	2.2k
Philippe Bergerot France	9	1.6k 1.1×	144 0.1×	1.2k 1.1×	872 1.1×	629 0.9×	13	2.0k
Antoine Lusinchi France	23	1.1k 0.7×	353 0.3×	1.2k 1.2×	859 1.1×	745 1.1×	34	2.2k
C. Sire France	13	2.2k 1.5×	142 0.1×	1.5k 1.5×	1.0k 1.3×	895 1.3×	23	2.5k

Countries citing papers authored by Sheng-Chieh Chan

Since Specialization

Citations

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

Fields of papers citing papers by Sheng-Chieh Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheng-Chieh Chan. 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 Sheng-Chieh Chan. The network helps show where Sheng-Chieh Chan may publish in the future.

Co-authorship network of co-authors of Sheng-Chieh Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng-Chieh Chan. A scholar is included among the top collaborators of Sheng-Chieh Chan 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 Sheng-Chieh Chan. Sheng-Chieh Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Chan, Sheng-Chieh, et al.. (2024). 18F-FET PET/CT can aid in diagnosing patients with indeterminate MRI findings for brain tumors: a prospective study. Annals of Nuclear Medicine. 39(4). 342–352. 1 indexed citations

Chao, Yin‐Kai, et al.. (2023). Baseline and interim [18F]FDG-PET/MRI to assess treatment response and survival in patients with M0 esophageal squamous cell carcinoma treated by curative-intent therapy. Cancer Imaging. 23(1). 109–109. 1 indexed citations

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

Chang, Pei‐Hung, Kun‐Yun Yeh, Hung‐Ming Wang, et al.. (2022). Association of early changes of circulating cancer stem-like cells with survival among patients with metastatic breast cancer. Therapeutic Advances in Medical Oncology. 14. 4287522214–4287522214. 1 indexed citations

Chan, Sheng-Chieh, Chih‐Hua Yeh, Shu‐Hang Ng, et al.. (2022). Prospective Investigation of 18FDG-PET/MRI with Intravoxel Incoherent Motion Diffusion-Weighted Imaging to Assess Survival in Patients with Oropharyngeal or Hypopharyngeal Carcinoma. Cancers. 14(24). 6104–6104. 5 indexed citations

Siow, Tiing Yee, Chih‐Hua Yeh, Gigin Lin, et al.. (2022). MRI Radiomics for Predicting Survival in Patients with Locally Advanced Hypopharyngeal Cancer Treated with Concurrent Chemoradiotherapy. Cancers. 14(24). 6119–6119. 8 indexed citations

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

Chen, Yu‐Hung, Ming‐Che Lee, Shu‐Hsin Liu, et al.. (2020). Preoperative F-18 fluorocholine PET/CT for the detection of hyperfunctioning parathyroid glands in patients with secondary or tertiary hyperparathyroidism: comparison with Tc-99m sestamibi scan and neck ultrasound. Annals of Nuclear Medicine. 34(8). 527–537. 17 indexed citations

Chen, Yu‐Hung, Kun‐Han Lue, Sung‐Chao Chu, et al.. (2019). Combining the radiomic features and traditional parameters of 18F-FDG PET with clinical profiles to improve prognostic stratification in patients with esophageal squamous cell carcinoma treated with neoadjuvant chemoradiotherapy and surgery. Annals of Nuclear Medicine. 33(9). 657–670. 36 indexed citations

10.

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

11.

Kuo, Sheng‐Fong, Tsung‐Ying Ho, Miaw‐Jene Liou, et al.. (2017). Higher body weight and distant metastasis are associated with higher radiation exposure to the household environment from patients with thyroid cancer after radioactive iodine therapy. Medicine. 96(35). e7942–e7942. 4 indexed citations

12.

Chin, Shy‐Chyi, Chien-Yu Lin, Bing‐Shen Huang, et al.. (2016). Pretreatment Dynamic Contrast-Enhanced MRI Improves Prediction of Early Distant Metastases in Patients With Nasopharyngeal Carcinoma. Medicine. 95(6). e2567–e2567. 8 indexed citations

13.

Ueng, Steve Wen‐Neng, Song‐Shu Lin, Shih‐Jung Liu, et al.. (2016). Efficacy of vancomycin-releasing biodegradable poly(lactide-co-glycolide) antibiotics beads for treatment of experimental bone infection due to Staphylococcus aureus. Journal of Orthopaedic Surgery and Research. 11(1). 52–52. 18 indexed citations

14.

Ng, Shu‐Hang, Chien-Yu Lin, Sheng-Chieh Chan, et al.. (2014). Clinical Utility of Multimodality Imaging with Dynamic Contrast-Enhanced MRI, Diffusion-Weighted MRI, and 18F-FDG PET/CT for the Prediction of Neck Control in Oropharyngeal or Hypopharyngeal Squamous Cell Carcinoma Treated with Chemoradiation. PLoS ONE. 9(12). e115933–e115933. 47 indexed citations

15.

Chan, Sheng-Chieh, Hung‐Ming Wang, Joseph Tung‐Chieh Chang, et al.. (2013). Prognostic implications of post-therapy 18F-FDG PET in patients with locoregionally advanced nasopharyngeal carcinoma treated with chemoradiotherapy. Annals of Nuclear Medicine. 27(8). 710–719. 16 indexed citations

16.

Ng, Shu‐Hang, Sheng-Chieh Chan, Tzu-Chen Yen, et al.. (2013). Dynamic Contrast-Enhanced MR Imaging Predicts Local Control in Oropharyngeal or Hypopharyngeal Squamous Cell Carcinoma Treated with Chemoradiotherapy. PLoS ONE. 8(8). e72230–e72230. 50 indexed citations

17.

Hung, Tsung‐Min, Hung‐Ming Wang, Chung‐Jan Kang, et al.. (2012). Pretreatment 18F-FDG PET standardized uptake value of primary tumor and neck lymph nodes as a predictor of distant metastasis for patients with nasopharyngeal carcinoma. Oral Oncology. 49(2). 169–174. 34 indexed citations

18.

Chao, Yin‐Kai, Sheng-Chieh Chan, Yun‐Hen Liu, et al.. (2009). Pretreatment T3-4 Stage is an Adverse Prognostic Factor in Patients with Esophageal Squamous Cell Carcinoma Who Achieve Pathological Complete Response Following Preoperative Chemoradiotherapy. Annals of Surgery. 249(3). 392–396. 39 indexed citations

19.

Ng, Shu‐Hang, Sheng-Chieh Chan, Chun‐Ta Liao, et al.. (2008). Distant metastases and synchronous second primary tumors in patients with newly diagnosed oropharyngeal and hypopharyngeal carcinomas: evaluation of 18F-FDG PET and extended-field multi-detector row CT. Neuroradiology. 50(11). 969–979. 57 indexed citations

20.

Ng, Shu‐Hang, Sheng-Chieh Chan, Hung‐Ming Wang, et al.. (2004). Nodal metastases of nasopharyngeal carcinoma: patterns of disease on MRI and FDG PET. European Journal of Nuclear Medicine and Molecular Imaging. 31(8). 1073–80. 127 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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