Christopher W. Szeto

698 total citations
31 papers, 413 citations indexed

About

Christopher W. Szeto is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Christopher W. Szeto has authored 31 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 12 papers in Cancer Research and 11 papers in Molecular Biology. Recurrent topics in Christopher W. Szeto's work include Cancer Genomics and Diagnostics (10 papers), Cancer Immunotherapy and Biomarkers (8 papers) and Ferroptosis and cancer prognosis (6 papers). Christopher W. Szeto is often cited by papers focused on Cancer Genomics and Diagnostics (10 papers), Cancer Immunotherapy and Biomarkers (8 papers) and Ferroptosis and cancer prognosis (6 papers). Christopher W. Szeto collaborates with scholars based in United States, China and Netherlands. Christopher W. Szeto's co-authors include Shahrooz Rabizadeh, Charles Vaske, Stephen C. Benz, Patrick Soon‐Shiong, Bing Song, Xiongwen Chen, X. Ai, Xiaoying Zhang, Ming‐Xin Tang and Clive R. Taylor and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and Circulation Research.

In The Last Decade

Christopher W. Szeto

25 papers receiving 407 citations

Peers

Christopher W. Szeto
Naresh Prodduturi United States
Lin Wan China
Jin-Wan Park South Korea
John Dixon United Kingdom
Christopher W. Szeto
Citations per year, relative to Christopher W. Szeto Christopher W. Szeto (= 1×) peers Emmanouil G. Sifakis

Countries citing papers authored by Christopher W. Szeto

Since Specialization
Citations

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

Fields of papers citing papers by Christopher W. Szeto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher W. Szeto. 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 Christopher W. Szeto. The network helps show where Christopher W. Szeto may publish in the future.

Co-authorship network of co-authors of Christopher W. Szeto

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher W. Szeto. A scholar is included among the top collaborators of Christopher W. Szeto 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 Christopher W. Szeto. Christopher W. Szeto 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.
Szeto, Christopher W., Renyi Wu, Fang Xu, et al.. (2022). CD47-blocking Antibody ZL-1201 Promotes Tumor-associated Macrophage Phagocytic Activity and Enhances the Efficacy of the Therapeutic Antibodies and Chemotherapy. Cancer Research Communications. 2(11). 1404–1417. 10 indexed citations
3.
Gordon, Erlinda M., et al.. (2021). CCNG1 oncogene: a novel biomarker for cancer therapy /gene therapy. 5(4). 1–9. 1 indexed citations
5.
Song, Bing, Clive R. Taylor, Charles Vaske, et al.. (2020). A deep learning image-based intrinsic molecular subtype classifier of breast tumors reveals tumor heterogeneity that may affect survival. Breast Cancer Research. 22(1). 12–12. 75 indexed citations
7.
Newton, Yulia, Andrew J. Sedgewick, Luis Cisneros, et al.. (2020). Large scale, robust, and accurate whole transcriptome profiling from clinical formalin-fixed paraffin-embedded samples. Scientific Reports. 10(1). 17597–17597. 20 indexed citations
8.
Adashek, Jacob J., Christopher W. Szeto, Sandeep K. Reddy, et al.. (2020). Targetable immune checkpoint molecules may be significantly differentially expressed in minority ethnicities.. Journal of Clinical Oncology. 38(15_suppl). 3576–3576. 4 indexed citations
9.
Adashek, Jacob J., Christopher W. Szeto, Sandeep K. Reddy, & Philippe E. Spiess. (2020). Real-world data validation for differential expression of immunoregulatory molecules and targetable cancer genes may provide therapeutic insights into agnostic-driven trial designs.. Journal of Clinical Oncology. 38(5_suppl). 10–10. 3 indexed citations
10.
Loupakis, Fotios, Ilaria Depetris, Sabina Murgioni, et al.. (2019). Treatment with checkpoint inhibitors in a metastatic colorectal cancer patient with molecular and immunohistochemical heterogeneity in MSI/dMMR status. Journal for ImmunoTherapy of Cancer. 7(1). 297–297. 25 indexed citations
11.
Soon‐Shiong, Patrick, et al.. (2019). Deep Learning Implicitly Handles Tissue Specific Phenomena to Predict Tumor DNA Accessibility and Immune Activity. iScience. 20. 119–136. 6 indexed citations
12.
Gordon, Erlinda M., Christopher W. Szeto, Sandeep K. Reddy, et al.. (2019). Abstract 2556: Enhanced expression of human cyclin G1 (CCNG1) gene in metastatic cancer, a novel biomarker in development for CCNG1 inhibitor therapy. Cancer Research. 79(13_Supplement). 2556–2556.
13.
Tan, Iain Beehuat, Andrew Nguyen, Charles Vaske, et al.. (2018). RNA-Seq analyses of immune cell-type enrichments in 158 Asian colorectal cancers (CRCs).. Journal of Clinical Oncology. 36(15_suppl). e15597–e15597.
14.
Pal, Sumanta K., Ari M. Vanderwalde, Christopher W. Szeto, Srikanth Reddy, & Omid Hamid. (2018). PD-L1 expression is strongly associated with TIGIT, FOXP3 and LAG3 across advanced cancers, but not OX40, TIM3 and IDO. Annals of Oncology. 29. viii421–viii422. 1 indexed citations
15.
Li, Ying, Li Zhang, Xiaoying Zhang, et al.. (2017). Reduced Myocardial Reserve in Young X-Linked Muscular Dystrophy Mice Diagnosed by Two-Dimensional Strain Analysis Combined with Stress Echocardiography. Journal of the American Society of Echocardiography. 30(8). 815–827.e9. 11 indexed citations
16.
Szeto, Christopher W., Stephen C. Benz, Franco Cecchi, et al.. (2017). Investigating tumoral and temporal heterogeneity through comprehensive -omics profiling in patients with metastatic triple negative breast cancer.. Journal of Clinical Oncology. 35(15_suppl). 1093–1093. 2 indexed citations
17.
Zhang, Xiaoying, X. Ai, Hiroyuki Nakayama, et al.. (2015). Persistent increases in Ca2+ influx through Cav1.2 shortens action potential and causes Ca2+ overload-induced afterdepolarizations and arrhythmias. Basic Research in Cardiology. 111(1). 4–4. 25 indexed citations
19.
Li, Yingxin, Fang Wang, Xiaoying Zhang, et al.. (2011). Cav3.1/α1G T-Type Ca2+ Channels are Involved in the Heart Rate Regulation. Biophysical Journal. 100(3). 567a–567a.
20.
Tang, Ming‐Xin, Xiaoying Zhang, Yingxin Li, et al.. (2010). Enhanced basal contractility but reduced excitation-contraction coupling efficiency and β-adrenergic reserve of hearts with increased Cav1.2 activity. American Journal of Physiology-Heart and Circulatory Physiology. 299(2). H519–H528. 21 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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