Eric T. Wong

12.6k total citations · 3 hit papers
157 papers, 8.3k citations indexed

About

Eric T. Wong is a scholar working on Genetics, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Eric T. Wong has authored 157 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Genetics, 33 papers in Pulmonary and Respiratory Medicine and 30 papers in Oncology. Recurrent topics in Eric T. Wong's work include Glioma Diagnosis and Treatment (84 papers), Brain Metastases and Treatment (27 papers) and Neuroscience and Neural Engineering (14 papers). Eric T. Wong is often cited by papers focused on Glioma Diagnosis and Treatment (84 papers), Brain Metastases and Treatment (27 papers) and Neuroscience and Neural Engineering (14 papers). Eric T. Wong collaborates with scholars based in United States, China and Israel. Eric T. Wong's co-authors include Edwin Lok, Patrick Y. Wen, David A. Reardon, Tom Mikkelsen, Kenneth D. Swanson, Marc C. Chamberlain, Andrew B. Lassman, Martin J. van den Bent, Mark R. Gilbert and Timothy F. Cloughesy and has published in prestigious journals such as Journal of the American Chemical Society, Neuron and Journal of Clinical Oncology.

In The Last Decade

Eric T. Wong

150 papers receiving 8.1k citations

Hit Papers

Updated Response Assessment Criteria for High-Grade... 1999 2026 2008 2017 2010 1999 2015 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric T. Wong United States 40 4.9k 2.4k 1.9k 1.8k 1.4k 157 8.3k
Ian F. Parney United States 49 4.3k 0.9× 2.2k 0.9× 1.5k 0.8× 2.1k 1.1× 2.6k 1.9× 198 9.3k
Michael Sabel Germany 51 6.5k 1.3× 2.5k 1.1× 2.6k 1.3× 2.1k 1.1× 875 0.6× 184 9.3k
Jong Hee Chang South Korea 46 3.5k 0.7× 1.2k 0.5× 2.1k 1.1× 1.4k 0.8× 984 0.7× 320 7.8k
Griffith R. Harsh United States 43 3.2k 0.7× 2.3k 1.0× 1.9k 1.0× 1.7k 0.9× 1.5k 1.1× 118 8.4k
Randy L. Jensen United States 45 3.7k 0.8× 1.6k 0.7× 947 0.5× 2.1k 1.1× 1.3k 0.9× 202 7.6k
Steven Brem United States 45 2.8k 0.6× 1.3k 0.6× 1.3k 0.7× 2.9k 1.6× 1.5k 1.0× 193 7.7k
Ryo Nishikawa Japan 40 4.3k 0.9× 1.7k 0.7× 959 0.5× 3.3k 1.8× 2.1k 1.5× 201 8.4k
Andrew B. Lassman United States 44 5.8k 1.2× 3.0k 1.3× 2.0k 1.0× 1.9k 1.0× 2.1k 1.5× 191 8.8k
Dima Suki United States 48 4.0k 0.8× 2.7k 1.2× 1.2k 0.6× 1.1k 0.6× 1.8k 1.3× 114 8.6k
Ahmed Idbaïh France 48 5.4k 1.1× 1.8k 0.8× 1.4k 0.7× 3.4k 1.9× 1.2k 0.9× 259 9.7k

Countries citing papers authored by Eric T. Wong

Since Specialization
Citations

This map shows the geographic impact of Eric T. Wong'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 Eric T. Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric T. Wong more than expected).

Fields of papers citing papers by Eric T. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric T. Wong. 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 Eric T. Wong. The network helps show where Eric T. Wong may publish in the future.

Co-authorship network of co-authors of Eric T. Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Eric T. Wong. A scholar is included among the top collaborators of Eric T. Wong 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 Eric T. Wong. Eric T. Wong 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.
Edwards, Robert P., et al.. (2025). Medical comorbidities prognosticate survival in glioblastoma. PubMed. 3(1). 75–75.
2.
Lok, Edwin, et al.. (2025). Effects of craniectomy defect on tumor-treating fields. Neuro-Oncology Advances. 7(1). vdaf045–vdaf045.
3.
Gautam, Shiva, et al.. (2024). The natural history of neurolymphomatosis. PubMed. 2(1). 34–34. 2 indexed citations
4.
Wong, Eric T., Robert W. Sobol, Lanlan Zhou, et al.. (2024). Abstract 7591: Tumor Treating Fields (TTFields) show efficacy in Triple-Negative breast cancer (TNBC) cells alone and in combination with PARP inhibitor Talazoparib. Cancer Research. 84(6_Supplement). 7591–7591.
5.
Wong, Eric T., et al.. (2023). Lewy body disease as a potential negative outcome modifier of glioblastoma treatment: a case report. BMC Neurology. 23(1). 257–257.
6.
Lok, Edwin, et al.. (2019). The Clinical Application of Tumor Treating Fields Therapy in Glioblastoma. Journal of Visualized Experiments. 11 indexed citations
7.
Wong, Eric T., Edwin Lok, & Kenneth D. Swanson. (2018). Alternating Electric Fields Therapy for Malignant Gliomas: From Bench Observation to Clinical Reality. Progress in neurological surgery. 32. 180–195. 15 indexed citations
8.
Wong, Eric T., et al.. (2016). Injection of Syngeneic Murine Melanoma Cells to Determine Their Metastatic Potential in the Lungs. Journal of Visualized Experiments. 4 indexed citations
9.
Wong, Eric T., et al.. (2016). Phase I study of low-dose metronomic temozolomide for recurrent malignant gliomas. BMC Cancer. 16(1). 914–914. 18 indexed citations
11.
Rangachari, Deepa, Norihiro Yamaguchi, Paul A. VanderLaan, et al.. (2015). Brain metastases in patients with EGFR -mutated or ALK -rearranged non-small-cell lung cancers. Lung Cancer. 88(1). 108–111. 348 indexed citations breakdown →
12.
Lok, Edwin, Kenneth D. Swanson, & Eric T. Wong. (2015). Tumor treating fields therapy device for glioblastoma: physics and clinical practice considerations. Expert Review of Medical Devices. 12(6). 717–726. 20 indexed citations
13.
Recht, Lawrence D., et al.. (2013). Steroid-Sparing Effect of Corticorelin Acetate in Peritumoral Cerebral Edema Is Associated With Improvement in Steroid-Induced Myopathy. Journal of Clinical Oncology. 31(9). 1182–1187. 26 indexed citations
14.
McDuff, Susan G. R., Joshua D. Lawson, Parag Sanghvi, et al.. (2013). Neurocognitive assessment following whole brain radiation therapy and radiosurgery for patients with cerebral metastases: Table 1. Journal of Neurology Neurosurgery & Psychiatry. 84(12). 1384–1391. 87 indexed citations
15.
Fonkem, Ekokobe, Erik J. Uhlmann, Scott Floyd, et al.. (2012). Melanoma brain metastasis: overview of current management and emerging targeted therapies. Expert Review of Neurotherapeutics. 12(10). 1207–1215. 56 indexed citations
16.
Fonkem, Ekokobe & Eric T. Wong. (2012). NovoTTF-100A: a new treatment modality for recurrent glioblastoma. Expert Review of Neurotherapeutics. 12(8). 895–899. 53 indexed citations
17.
Floyd, Scott, Peter C. Warnke, Chung‐Ching Chio, et al.. (2011). Cyberknife hypofractionated stereotactic radiosurgery (HSRS) of resection cavity after excision of large cerebral metastasis: efficacy and safety of an 800 cGy × 3 daily fractions regimen. Journal of Neuro-Oncology. 106(3). 601–610. 58 indexed citations
18.
Park, Seong‐Mi, Dawen Zhao, Kimmo J. Hatanpaa, et al.. (2009). RIP1 Activates PI3K-Akt via a Dual Mechanism Involving NF-κB–Mediated Inhibition of the mTOR-S6K-IRS1 Negative Feedback Loop and Down-regulation of PTEN. Cancer Research. 69(10). 4107–4111. 55 indexed citations
19.
Wong, Eric T.. (2005). Tumor growth, invasion, and angiogenesis in malignant gliomas. Journal of Neuro-Oncology. 77(3). 295–296. 8 indexed citations
20.
Chan, J.H.M, Wcg Peh, Edmund Tsui, et al.. (2002). Acute vertebral body compression fractures: discrimination between benign and malignant causes using apparent diffusion coefficients. British Journal of Radiology. 75(891). 207–214. 135 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026