Wen‐Son Hsieh

647 total citations
9 papers, 454 citations indexed

About

Wen‐Son Hsieh is a scholar working on Pathology and Forensic Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Wen‐Son Hsieh has authored 9 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pathology and Forensic Medicine, 4 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Wen‐Son Hsieh's work include Viral-associated cancers and disorders (2 papers), Lymphoma Diagnosis and Treatment (2 papers) and Lung Cancer Treatments and Mutations (2 papers). Wen‐Son Hsieh is often cited by papers focused on Viral-associated cancers and disorders (2 papers), Lymphoma Diagnosis and Treatment (2 papers) and Lung Cancer Treatments and Mutations (2 papers). Wen‐Son Hsieh collaborates with scholars based in Singapore, United States and China. Wen‐Son Hsieh's co-authors include Qian Tao, Richard F. Ambinder, Jianming Ying, Shuen-Kuei Liao, Zifen Gao, Gopesh Srivastava, Paul G. Murray, Boon Cher Goh, Luke Tan and Thomas Choudary Putti and has published in prestigious journals such as Blood, Clinical Cancer Research and Experimental Cell Research.

In The Last Decade

Wen‐Son Hsieh

9 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wen‐Son Hsieh Singapore 8 218 200 130 91 66 9 454
Christin Sciulli United States 9 157 0.7× 206 1.0× 116 0.9× 147 1.6× 103 1.6× 10 447
Laura López-Vicente Spain 4 166 0.8× 265 1.3× 54 0.4× 88 1.0× 66 1.0× 4 480
C. Soon Lee Australia 6 118 0.5× 189 0.9× 50 0.4× 46 0.5× 58 0.9× 6 361
K Bird United Kingdom 9 144 0.7× 226 1.1× 70 0.5× 106 1.2× 51 0.8× 10 464
George Koutsodontis Greece 12 402 1.8× 356 1.8× 47 0.4× 201 2.2× 74 1.1× 20 674
María Teresa Sanz Casla Spain 10 301 1.4× 119 0.6× 110 0.8× 154 1.7× 107 1.6× 23 425
Gang Cai China 15 183 0.8× 105 0.5× 109 0.8× 225 2.5× 123 1.9× 47 524
H-Y Huang Taiwan 8 104 0.5× 225 1.1× 58 0.4× 77 0.8× 23 0.3× 9 390
Gregory T. Wolf United States 7 167 0.8× 175 0.9× 44 0.3× 73 0.8× 65 1.0× 8 410
Francisco Domínguez Spain 11 144 0.7× 81 0.4× 137 1.1× 237 2.6× 36 0.5× 20 367

Countries citing papers authored by Wen‐Son Hsieh

Since Specialization
Citations

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

Fields of papers citing papers by Wen‐Son Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen‐Son Hsieh. 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 Wen‐Son Hsieh. The network helps show where Wen‐Son Hsieh may publish in the future.

Co-authorship network of co-authors of Wen‐Son Hsieh

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

All Works

9 of 9 papers shown
1.
Shamay, Meir, Jennifer A. Kanakry, Netanel A. Horowitz, et al.. (2020). CpG methylation in cell-free Epstein-Barr virus DNA in patients with EBV-Hodgkin lymphoma. Blood Advances. 4(8). 1624–1627. 10 indexed citations
2.
Syn, Nicholas, Li Ren Kong, Lingzhi Wang, et al.. (2018). Pan-CDK inhibition augments cisplatin lethality in nasopharyngeal carcinoma cell lines and xenograft models. Signal Transduction and Targeted Therapy. 3(1). 9–9. 31 indexed citations
3.
Hsieh, Wen‐Son, Fredrik Petersson, Henry Yang, et al.. (2013). Malignant cells derived from 3T3 fibroblast feeder layer in cell culture for nasopharyngeal carcinoma. Experimental Cell Research. 322(1). 193–201. 7 indexed citations
4.
Kanakry, Jennifer A., Hailun Li, Lan L. Gellert, et al.. (2013). Plasma Epstein-Barr virus DNA predicts outcome in advanced Hodgkin lymphoma: correlative analysis from a large North American cooperative group trial. Blood. 121(18). 3547–3553. 103 indexed citations
5.
Pang, Angela, et al.. (2011). A case of sweet’s syndrome due to 5-Azacytidine and vorinostat in a patient with NK/T cell lymphoma. Cutaneous and Ocular Toxicology. 31(1). 64–66. 4 indexed citations
6.
Lee, Soo Chin, Seng Gee Lim, Ross A. Soo, et al.. (2006). Lack of somatic mutations in EGFR tyrosine kinase domain in hepatocellular and nasopharyngeal carcinoma. Pharmacogenetics and Genomics. 16(1). 73–74. 41 indexed citations
7.
Loh, Kwok Seng, et al.. (2006). Familial Nasopharyngeal Carcinoma in a Cohort of 200 Patients. Archives of Otolaryngology - Head and Neck Surgery. 132(1). 82–82. 30 indexed citations
8.
Ying, Jianming, Gopesh Srivastava, Wen‐Son Hsieh, et al.. (2005). The Stress-Responsive Gene GADD45G Is a Functional Tumor Suppressor, with Its Response to Environmental Stresses Frequently Disrupted Epigenetically in Multiple Tumors. Clinical Cancer Research. 11(18). 6442–6449. 182 indexed citations
9.
Soo, Ross A., Thomas Choudary Putti, Qian Tao, et al.. (2005). Overexpression of Cyclooxygenase-2 in Nasopharyngeal Carcinoma and Association With Epidermal Growth Factor Receptor Expression. Archives of Otolaryngology - Head and Neck Surgery. 131(2). 147–147. 46 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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