Tony J. C. Wang

4.7k total citations · 2 hit papers
114 papers, 2.5k citations indexed

About

Tony J. C. Wang is a scholar working on Pulmonary and Respiratory Medicine, Genetics and Oncology. According to data from OpenAlex, Tony J. C. Wang has authored 114 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Pulmonary and Respiratory Medicine, 54 papers in Genetics and 26 papers in Oncology. Recurrent topics in Tony J. C. Wang's work include Glioma Diagnosis and Treatment (54 papers), Brain Metastases and Treatment (39 papers) and Meningioma and schwannoma management (19 papers). Tony J. C. Wang is often cited by papers focused on Glioma Diagnosis and Treatment (54 papers), Brain Metastases and Treatment (39 papers) and Meningioma and schwannoma management (19 papers). Tony J. C. Wang collaborates with scholars based in United States, Canada and Taiwan. Tony J. C. Wang's co-authors include Simon K. Cheng, Jeffrey N. Bruce, Connor J. Kinslow, Michael B. Sisti, Peter Canoll, Minesh P. Mehta, Guy M. McKhann, Kunal Chaudhary, Tom K. Hei and Pavan S. Upadhyayula and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer.

In The Last Decade

Tony J. C. Wang

108 papers receiving 2.5k citations

Hit Papers

Radiation-Induced Lipid P... 2020 2026 2022 2024 2020 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tony J. C. Wang United States 27 1.2k 858 555 549 440 114 2.5k
Joshua D. Palmer United States 26 1.1k 0.9× 1.0k 1.2× 561 1.0× 623 1.1× 387 0.9× 189 2.7k
Matteo Simonelli Italy 27 823 0.7× 818 1.0× 439 0.8× 691 1.3× 389 0.9× 129 2.5k
Wenyin Shi United States 30 1.7k 1.5× 1.3k 1.6× 661 1.2× 832 1.5× 595 1.4× 181 3.4k
Andreas M. Stark Germany 24 919 0.8× 833 1.0× 681 1.2× 850 1.5× 243 0.6× 47 2.4k
Benoît Lhermitte France 18 702 0.6× 1.1k 1.3× 821 1.5× 710 1.3× 319 0.7× 77 2.5k
Jian Campian United States 30 625 0.5× 931 1.1× 481 0.9× 1.2k 2.2× 359 0.8× 117 2.8k
Ashwatha Narayana United States 29 1.3k 1.1× 1.2k 1.4× 485 0.9× 808 1.5× 484 1.1× 64 3.0k
Rakesh Jalali India 26 648 0.6× 1.0k 1.2× 490 0.9× 406 0.7× 286 0.7× 147 2.4k
Michel Fabbro France 34 723 0.6× 778 0.9× 658 1.2× 1.1k 2.0× 293 0.7× 187 3.1k
Nils D. Arvold United States 26 1.5k 1.3× 1.1k 1.3× 605 1.1× 1.3k 2.5× 361 0.8× 67 3.3k

Countries citing papers authored by Tony J. C. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tony J. C. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tony J. C. Wang. 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 Tony J. C. Wang. The network helps show where Tony J. C. Wang may publish in the future.

Co-authorship network of co-authors of Tony J. C. Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Tony J. C. Wang. A scholar is included among the top collaborators of Tony J. C. Wang 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 Tony J. C. Wang. Tony J. C. Wang 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.
Upadhyayula, Pavan S., et al.. (2025). A 25-Year Update on the Facial Nerve Sparing Approach for Vestibular Schwannoma. World Neurosurgery. 195. 123603–123603.
2.
Kinslow, Connor J., Soumyajit Roy, Fábio M. Iwamoto, et al.. (2024). The IDH paradox: Meta-analysis of alkylating chemotherapy in IDH-wild type and -mutant lower grade gliomas. Neuro-Oncology. 26(10). 1839–1849. 1 indexed citations
3.
Tom, Martin C., Seema Nagpal, Joshua D. Palmer, et al.. (2024). An update to the American Radium Society’s appropriate use criteria of lower grade gliomas: Integration of IDH inhibitors. Radiotherapy and Oncology. 202. 110640–110640.
4.
Russell, Gregory B., M.C. LeCompte, Weiren Liu, et al.. (2024). Multi-institutional study of reirradiation for recurrent high grade glioma.. Journal of Clinical Oncology. 42(16_suppl). 2063–2063.
5.
Gallitto, Matthew, et al.. (2024). Radiation-Induced Sensorineural Hearing Loss and Potential Management. Practical Radiation Oncology. 14(3). 212–215. 1 indexed citations
6.
Russell, Gregory B., M.C. LeCompte, Wenjie Liu, et al.. (2024). A Multi Institutional Study of the Impact of Reirradiation Dose for Recurrent High Grade Glioma. International Journal of Radiation Oncology*Biology*Physics. 120(2). S212–S212.
7.
8.
Zhang, Chi, Nan Zhao, Chi Zhang, et al.. (2024). The prognostic significance of androgen receptor expression in gliomas. Scientific Reports. 14(1). 22122–22122. 1 indexed citations
9.
Kinslow, Connor J., Ali I. Rae, Guy M. McKhann, et al.. (2023). Risk Stratification for Management of Solitary Fibrous Tumor/Hemangiopericytoma of the Central Nervous System. Cancers. 15(3). 876–876. 8 indexed citations
10.
Wang, Tony J. C., et al.. (2023). Difference Analysis of Different Explosion Load Simulation Methods Based on LS-DYNA. Journal of Physics Conference Series. 2478(7). 72053–72053. 2 indexed citations
11.
Gallitto, Matthew, et al.. (2023). The Use of Stereotactic Radiosurgery to Treat Functional Disorders: A Topic Discussion. Practical Radiation Oncology. 13(5). e395–e399. 4 indexed citations
12.
Kinslow, Connor J., Yuankun Wang, Yi Liu, et al.. (2023). Influenza activity and regional mortality for non-small cell lung cancer. Scientific Reports. 13(1). 21674–21674. 3 indexed citations
13.
Kinslow, Connor J., Ali I. Rae, Kekoa Taparra, et al.. (2023). MGMT Promoter Methylation Predicts Overall Survival after Chemotherapy for 1p/19q-Codeleted Gliomas. Clinical Cancer Research. 29(21). 4399–4407. 13 indexed citations
14.
Kinslow, Connor J., Mark Olfson, Melanie M. Wall, et al.. (2023). Prognosis and risk of suicide after cancer diagnosis. Cancer. 130(4). 588–596. 6 indexed citations
15.
Chaudhary, Kunal, Connor J. Kinslow, Haiying Cheng, et al.. (2022). Smurf2 inhibition enhances chemotherapy and radiation sensitivity in non-small-cell lung cancer. Scientific Reports. 12(1). 10140–10140. 10 indexed citations
16.
Smith, Deborah R., Cheng–Chia Wu, Anurag Saraf, et al.. (2019). Natural history, clinical course and predictors of interval time from initial diagnosis to development of subsequent NSCLC brain metastases. Journal of Neuro-Oncology. 143(1). 145–155. 13 indexed citations
17.
Wu, Cheng–Chia, Deborah R. Smith, Christine Chin, & Tony J. C. Wang. (2017). The success of NRG-GBM-RPA: biomarker-based classification, where to next?. Translational Cancer Research. 6(3). 1 indexed citations
18.
Yanagihara, Ted K., Jack Grinband, Jared Rowley, et al.. (2016). A Simple Automated Method for Detecting Recurrence in High-Grade Glioma. American Journal of Neuroradiology. 37(11). 2019–2025. 4 indexed citations
19.
Grubb, Christopher S., A. Jani, Cheng–Chia Wu, et al.. (2015). Breast cancer subtype as a predictor for outcomes and control in the setting of brain metastases treated with stereotactic radiosurgery. Journal of Neuro-Oncology. 127(1). 103–110. 16 indexed citations
20.
Wu, Cheng–Chia, David P. Horowitz, Israel Deutsch, et al.. (2015). De-escalation of radiation dose for human papillomavirus-positive oropharyngeal head and neck squamous cell carcinoma: A case report and preclinical and clinical literature review. Oncology Letters. 11(1). 141–149. 4 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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