Sung-Wei Lee

406 total citations
16 papers, 336 citations indexed

About

Sung-Wei Lee is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Sung-Wei Lee has authored 16 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Sung-Wei Lee's work include RNA modifications and cancer (4 papers), Cancer-related Molecular Pathways (4 papers) and Head and Neck Cancer Studies (3 papers). Sung-Wei Lee is often cited by papers focused on RNA modifications and cancer (4 papers), Cancer-related Molecular Pathways (4 papers) and Head and Neck Cancer Studies (3 papers). Sung-Wei Lee collaborates with scholars based in Taiwan. Sung-Wei Lee's co-authors include Chien‐Feng Li, Chung‐Hsi Hsing, Hsuan-Ying Huang, Li-Ching Lin, Ching-Yih Lin, Yow-Ling Shiue, Li‐Tzong Chen, Ming-Jen Sheu, Yu-Feng Tian and Hao-Hsien Lee and has published in prestigious journals such as Journal of Clinical Pathology, BMJ Open and Journal of Surgical Oncology.

In The Last Decade

Sung-Wei Lee

16 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sung-Wei Lee Taiwan 12 217 140 118 45 39 16 336
Xiaojiao Ban China 6 329 1.5× 209 1.5× 70 0.6× 31 0.7× 41 1.1× 8 412
Shinya Kidogami Japan 12 236 1.1× 114 0.8× 66 0.6× 49 1.1× 35 0.9× 26 321
Jiaping Peng China 9 248 1.1× 185 1.3× 106 0.9× 48 1.1× 49 1.3× 19 392
Fuchao Ma China 13 319 1.5× 223 1.6× 60 0.5× 50 1.1× 32 0.8× 25 407
Shufen Zhao China 10 170 0.8× 106 0.8× 83 0.7× 97 2.2× 45 1.2× 30 316
Rahul Sreekumar United Kingdom 7 199 0.9× 123 0.9× 110 0.9× 33 0.7× 41 1.1× 12 317
Giórgia Gobbi da Silveira Brazil 9 182 0.8× 84 0.6× 161 1.4× 39 0.9× 43 1.1× 12 334
Jiequn Ma China 13 255 1.2× 149 1.1× 110 0.9× 48 1.1× 29 0.7× 19 376
Shupei Pan China 13 237 1.1× 185 1.3× 86 0.7× 75 1.7× 68 1.7× 22 367

Countries citing papers authored by Sung-Wei Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sung-Wei Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung-Wei Lee. 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-Wei Lee. The network helps show where Sung-Wei Lee may publish in the future.

Co-authorship network of co-authors of Sung-Wei Lee

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

All Works

16 of 16 papers shown
1.
Chou, Chia‐Lin, Cheng‐Yi Lin, Wan‐Shan Li, et al.. (2024). Low CXCL11 expression is indicative of poor prognosis in rectal cancer patients undergoing preoperative chemoradiotherapy: a retrospective cohort study. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 486(4). 803–815. 1 indexed citations
2.
Liao, Kuang‐Ming, Yu-Feng Tian, Ching-Yih Lin, et al.. (2016). Overexpression of the PSAT1 Gene in Nasopharyngeal Carcinoma Is an Indicator of Poor Prognosis. Journal of Cancer. 7(9). 1088–1094. 28 indexed citations
3.
Li, Chien‐Feng, Jaw‐Yuan Wang, Hsuan-Ying Huang, et al.. (2014). Fibroblast growth factor receptor 2 overexpression is predictive of poor prognosis in rectal cancer patients receiving neoadjuvant chemoradiotherapy. Journal of Clinical Pathology. 67(12). 1056–1061. 21 indexed citations
4.
Shiue, Yow-Ling, Sung-Wei Lee, Li-Ching Lin, et al.. (2014). Overexpression of REG4 confers an independent negative prognosticator in rectal cancers receiving concurrent chemoradiotherapy. Journal of Surgical Oncology. 110(8). 1002–1010. 13 indexed citations
5.
Li, Chien‐Feng, Ching-Yih Lin, Sung-Wei Lee, et al.. (2014). Overexpression of CPS1 is an independent negative prognosticator in rectal cancers receiving concurrent chemoradiotherapy. Tumor Biology. 35(11). 11097–11105. 34 indexed citations
6.
Lee, Sung-Wei, et al.. (2014). AMACR overexpression as a poor prognostic factor in patients with nasopharyngeal carcinoma. Tumor Biology. 35(8). 7983–7991. 8 indexed citations
7.
Win, Khin Than, Sung-Wei Lee, Hsuan-Ying Huang, et al.. (2013). Nicotinamide N-methyltransferase overexpression is associated with Akt phosphorylation and indicates worse prognosis in patients with nasopharyngeal carcinoma. Tumor Biology. 34(6). 3923–3931. 34 indexed citations
8.
Sun, Ding‐Ping, Ching-Yih Lin, Yu-Feng Tian, et al.. (2013). Clinicopathological significance of HuR expression in gallbladder carcinoma: with special emphasis on the implications of its nuclear and cytoplasmic expression. Tumor Biology. 34(5). 3059–3069. 19 indexed citations
9.
Tian, Yu-Feng, Ching-Yih Lin, Li‐Tzong Chen, et al.. (2013). SKP2 overexpression is associated with a poor prognosis of rectal cancer treated with chemoradiotherapy and represents a therapeutic target with high potential. Tumor Biology. 34(2). 1107–1117. 35 indexed citations
10.
Lee, Sung-Wei, Li-Ching Lin, Chien‐Feng Li, et al.. (2013). Overexpression of thymidylate synthetase confers an independent prognostic indicator in nasopharyngeal carcinoma. Experimental and Molecular Pathology. 95(1). 83–90. 29 indexed citations
11.
Lee, Sung-Wei, Ching-Yih Lin, Yu-Feng Tian, et al.. (2013). Overexpression of CDC28 protein kinase regulatory subunit 1B confers an independent prognostic factor in nasopharyngeal carcinoma. Apmis. 122(3). 206–214. 10 indexed citations
12.
Lin, Ching-Yih, Yu-Feng Tian, Li-Ching Wu, et al.. (2012). Rsf-1 expression in rectal cancer: with special emphasis on the independent prognostic value after neoadjuvant chemoradiation. Journal of Clinical Pathology. 65(8). 687–692. 22 indexed citations
13.
Wu, Li-Ching, Wen-Ren Wu, Hung-Jung Lin, et al.. (2012). Loss of epithelial membrane protein-2 expression confers an independent prognosticator in nasopharyngeal carcinoma: a cohort study. BMJ Open. 2(2). e000900–e000900. 11 indexed citations
14.
Kao, Yu‐Chien, Sung-Wei Lee, Li-Ching Lin, et al.. (2012). Fatty acid synthase overexpression confers an independent prognosticator and associates with radiation resistance in nasopharyngeal carcinoma. Tumor Biology. 34(2). 759–768. 37 indexed citations
15.
Wu, Li-Ching, Yi‐Ling Chen, Wen-Ren Wu, et al.. (2012). Expression of cyclin-dependent kinase 2-associated protein 1 confers an independent prognosticator in nasopharyngeal carcinoma: a cohort study. Journal of Clinical Pathology. 65(9). 795–801. 7 indexed citations
16.
Huang, Hsuan-Ying, Sung-Wei Lee, Ching-Yih Lin, et al.. (2011). Associations of Rsf-1 overexpression with poor therapeutic response and worse survival in patients with nasopharyngeal carcinoma. Journal of Clinical Pathology. 65(3). 248–253. 27 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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