May Tsao

9.5k total citations · 3 hit papers
197 papers, 6.8k citations indexed

About

May Tsao is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, May Tsao has authored 197 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Surgery, 85 papers in Pulmonary and Respiratory Medicine and 81 papers in Oncology. Recurrent topics in May Tsao's work include Management of metastatic bone disease (73 papers), Brain Metastases and Treatment (63 papers) and Glioma Diagnosis and Treatment (43 papers). May Tsao is often cited by papers focused on Management of metastatic bone disease (73 papers), Brain Metastases and Treatment (63 papers) and Glioma Diagnosis and Treatment (43 papers). May Tsao collaborates with scholars based in Canada, United States and United Kingdom. May Tsao's co-authors include Edward Chow, Arjun Sahgal, Cyril Danjoux, Elizabeth Barnes, Kristin Harris, Wei Xu, Liying Zhang, Grace Fan, W.M. Sze and Normand Laperrière and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer.

In The Last Decade

May Tsao

186 papers receiving 6.6k citations

Hit Papers

Palliative Radiotherapy Trials for Bone Metastases: A Sys... 2007 2026 2013 2019 2007 2012 2011 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
May Tsao Canada 41 2.9k 2.6k 2.6k 1.7k 1.1k 197 6.8k
C. Shun Wong Canada 44 1.9k 0.7× 1.5k 0.6× 3.0k 1.2× 1.4k 0.8× 954 0.8× 185 7.4k
Iris C. Gibbs United States 44 2.3k 0.8× 1.0k 0.4× 2.6k 1.0× 1.6k 1.0× 1.9k 1.7× 176 6.8k
Dirk Rades Germany 49 4.5k 1.6× 3.5k 1.4× 4.4k 1.7× 2.4k 1.4× 995 0.9× 586 10.3k
Benjamin W. Corn United States 44 2.9k 1.0× 1.1k 0.4× 1.2k 0.5× 1.3k 0.8× 1.0k 0.9× 202 6.3k
Timothy C. Ryken United States 56 2.3k 0.8× 1.2k 0.5× 3.9k 1.5× 2.7k 1.7× 1.2k 1.0× 177 9.2k
Normand Laperrière Canada 55 4.0k 1.4× 1.6k 0.6× 1.8k 0.7× 5.7k 3.4× 2.2k 1.9× 280 10.2k
Karin Dieckmann Austria 45 3.1k 1.1× 2.2k 0.9× 458 0.2× 2.0k 1.2× 704 0.6× 216 6.5k
Ayal A. Aizer United States 40 3.1k 1.1× 2.8k 1.1× 800 0.3× 1.3k 0.8× 1.1k 1.0× 164 6.1k
Matthew J. Krasin United States 43 2.6k 0.9× 897 0.3× 921 0.4× 1.2k 0.7× 384 0.3× 200 5.8k
Simon Krämer United States 43 3.4k 1.2× 2.0k 0.8× 1.8k 0.7× 2.2k 1.3× 937 0.8× 154 7.2k

Countries citing papers authored by May Tsao

Since Specialization
Citations

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

Fields of papers citing papers by May Tsao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by May Tsao. 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 May Tsao. The network helps show where May Tsao may publish in the future.

Co-authorship network of co-authors of May Tsao

This figure shows the co-authorship network connecting the top 25 collaborators of May Tsao. A scholar is included among the top collaborators of May Tsao 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 May Tsao. May Tsao 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.
AminiLari, Mahmood, Xiang Y. Ye, Ur Metser, et al.. (2025). Outcomes of Primary Mediastinal B-cell Lymphoma Patients with Partial Metabolic Response: A Multicenter Retrospective Analysis. Advances in Radiation Oncology. 10(5). 101744–101744.
2.
3.
Dasgupta, Archya, et al.. (2024). A Single-Institution Review of the Use of Radiation in the Adjuvant and Definitive Management of Keloids. Clinical Oncology. 36(6). e163–e167.
4.
G, Li, Joe Y. Chang, Hanbo Chen, et al.. (2024). Safety and Efficacy of Stereotactic Body Radiation Therapy for Ultra-central Thoracic Tumors: A Single Center Retrospective Review. International Journal of Radiation Oncology*Biology*Physics. 120(2). 359–369. 3 indexed citations
5.
Tun, Waimar, Donaldson F. Conserve, Courtney Johnson, et al.. (2024). Development of a pharmacy-based HIV PrEP service delivery intervention for Washington, District of Columbia (DC): A study protocol. PLoS ONE. 19(10). e0311694–e0311694.
6.
Tyrrell, Pascal N., Chris Heyn, Simon J. Graham, et al.. (2023). Detection of solid and subsolid pulmonary nodules with lung MRI: performance of UTE, T1 gradient-echo, and single-shot T2 fast spin echo. Cancer Imaging. 23(1). 17–17. 8 indexed citations
7.
Barnes, Elizabeth, May Tsao, Amandeep Taggar, Ananth Ravi, & Moti Paudel. (2023). Optimizing surface mould brachytherapy for treatment of nasal basal cell carcinoma using customized applicators. Brachytherapy. 22(5). 665–672. 3 indexed citations
8.
Tsao, May, Elizabeth Barnes, Irene Karam, & Agata Rembielak. (2022). Hypofractionated Radiation Therapy in Keratinocyte Carcinoma. Clinical Oncology. 34(5). e218–e224.
9.
Tsao, May & Alexander V. Louie. (2021). Radical Radiation for Large-Volume Locally Advanced Non-Small Cell Lung Cancer: Constrained by Constraints!. International Journal of Radiation Oncology*Biology*Physics. 110(2). 261–263.
10.
Tjong, Michael C., Hanbo Chen, Gabriel Boldt, et al.. (2020). Stereotactic ablative radiotherapy for malignant mediastinal and hilar lymphadenopathy: a systematic review. Journal of Thoracic Disease. 12(5). 2280–2287. 9 indexed citations
11.
Babic, Steven, Young Lee, Mark Ruschin, et al.. (2018). To frame or not to frame? Cone‐beam CT‐based analysis of head immobilization devices specific to linac‐based stereotactic radiosurgery and radiotherapy. Journal of Applied Clinical Medical Physics. 19(2). 111–120. 46 indexed citations
12.
Ganesh, Vithusha, Liying Zhang, Bo Wan, et al.. (2018). Symptom clusters using the EORTC QLQ-C15-PAL in palliative radiotherapy. Annals of Palliative Medicine. 7(2). 192–204. 9 indexed citations
13.
Tsang, Derek S., Luluel Khan, James Perry, et al.. (2014). Survival Outcomes in Elderly Patients with Glioblastoma. Clinical Oncology. 27(3). 176–183. 32 indexed citations
14.
Dennis, Kristopher, Carlo DeAngelis, Natalie Lauzon, et al.. (2014). Aprepitant and Granisetron for the Prophylaxis of Radiotherapy-Induced Nausea and Vomiting after Moderately Emetogenic Radiotherapy for Bone Metastases: A Prospective Pilot Study. Current Oncology. 21(6). 760–767. 13 indexed citations
15.
Follwell, Matthew, Kathleen Joy O. Khu, Lu Cheng, et al.. (2012). Volume specific response criteria for brain metastases following salvage stereotactic radiosurgery and associated predictors of response. Acta Oncologica. 51(5). 629–635. 28 indexed citations
16.
Caissie, Amanda, Shaelyn Culleton, Janet Nguyen, et al.. (2011). EORTC QLQ-C15-PAL quality of life scores in patients with advanced cancer referred for palliative radiotherapy. Supportive Care in Cancer. 20(4). 841–848. 39 indexed citations
17.
Nguyen, J., Edward Chow, Liang Zeng, et al.. (2011). Palliative Response and Functional Interference Outcomes Using the Brief Pain Inventory for Spinal Bony Metastases Treated with Conventional Radiotherapy. Clinical Oncology. 23(7). 485–491. 59 indexed citations
19.
Tsao, May, N Lloyd, Rebecca Wong, et al.. (2006). Whole brain radiotherapy for the treatment of multiple brain metastases. Cochrane Database of Systematic Reviews. CD003869–CD003869. 79 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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