Matthew C. Cheung

5.3k total citations
248 papers, 2.8k citations indexed

About

Matthew C. Cheung is a scholar working on Oncology, Pathology and Forensic Medicine and Economics and Econometrics. According to data from OpenAlex, Matthew C. Cheung has authored 248 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Oncology, 74 papers in Pathology and Forensic Medicine and 66 papers in Economics and Econometrics. Recurrent topics in Matthew C. Cheung's work include Lymphoma Diagnosis and Treatment (72 papers), Economic and Financial Impacts of Cancer (56 papers) and Health Systems, Economic Evaluations, Quality of Life (47 papers). Matthew C. Cheung is often cited by papers focused on Lymphoma Diagnosis and Treatment (72 papers), Economic and Financial Impacts of Cancer (56 papers) and Health Systems, Economic Evaluations, Quality of Life (47 papers). Matthew C. Cheung collaborates with scholars based in Canada, United States and New Zealand. Matthew C. Cheung's co-authors include Kelvin Chan, Kevin Imrie, Rena Buckstein, Lisa K. Hicks, Craig C. Earle, Liron Pantanowitz, Ning Liu, Bruce J. Dezube, Nicole Mittmann and Simron Singh and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Matthew C. Cheung

224 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew C. Cheung Canada 28 1.2k 675 436 383 336 248 2.8k
Claudia Allemani United Kingdom 28 2.3k 1.9× 801 1.2× 298 0.7× 571 1.5× 467 1.4× 84 4.3k
Carin A. Uyl‐de Groot Netherlands 34 1.5k 1.2× 368 0.5× 889 2.0× 383 1.0× 316 0.9× 217 3.7k
Luigi Cavanna Italy 35 2.1k 1.8× 781 1.2× 177 0.4× 341 0.9× 541 1.6× 217 4.7k
Ádám Gondos Germany 36 1.9k 1.6× 629 0.9× 179 0.4× 610 1.6× 295 0.9× 80 3.9k
Lisa K. Hicks Canada 26 813 0.7× 269 0.4× 139 0.3× 250 0.7× 236 0.7× 112 2.7k
Michael P. Kosty United States 33 1.3k 1.1× 244 0.4× 389 0.9× 749 2.0× 645 1.9× 74 3.4k
Craig Underhill Australia 30 2.2k 1.9× 358 0.5× 129 0.3× 334 0.9× 130 0.4× 129 3.7k
Carmen Martos Spain 27 1.1k 0.9× 425 0.6× 110 0.3× 464 1.2× 139 0.4× 111 3.3k
Tomohiro Matsuda Japan 33 2.2k 1.8× 531 0.8× 125 0.3× 531 1.4× 315 0.9× 140 5.3k
Diane Stockton United Kingdom 27 838 0.7× 232 0.3× 148 0.3× 228 0.6× 121 0.4× 61 3.0k

Countries citing papers authored by Matthew C. Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Matthew C. Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew C. Cheung. 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 Matthew C. Cheung. The network helps show where Matthew C. Cheung may publish in the future.

Co-authorship network of co-authors of Matthew C. Cheung

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew C. Cheung. A scholar is included among the top collaborators of Matthew C. Cheung 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 Matthew C. Cheung. Matthew C. Cheung 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.
Gong, Inna Y., Michael Crump, Anca Prica, et al.. (2025). Outcomes and factors influencing survival in patients with diffuse large B-cell lymphoma: a population-based analysis. PubMed. 2(3). 100117–100117.
2.
Erenay, Fatih Safa, et al.. (2024). Cancer Drug Wastage and Mitigation Methods: A Systematic Review. Value in Health. 28(1). 148–160.
3.
Buckstein, Rena, Jeannie Callum, Anca Prica, et al.. (2024). Red cell transfusion thresholds in outpatients with myelodysplastic syndromes: Results of a pilot randomized trial RBC‐ENHANCE. Transfusion. 64(2). 223–235. 1 indexed citations
4.
Mian, Hira, Hsien Seow, Matthew C. Cheung, et al.. (2024). A Prognostic Survival Model Incorporating Patient-Reported Outcomes for Transplant-Ineligible Patients With Multiple Myeloma. The Oncologist. 29(6). 519–526. 2 indexed citations
5.
Arya, Sumedha, Lee Mozessohn, Inna Y. Gong, et al.. (2024). The impact of marginalization on diffuse large B-cell lymphoma overall survival: a retrospective cohort study. Leukemia & lymphoma. 65(5). 629–637. 2 indexed citations
6.
Villa, Diego, Jean-François Larouche, Matthew C. Cheung, et al.. (2023). Rituximab combined with chemotherapy and acalabrutinib prior to autologous stem cell transplantation in mantle cell lymphoma: The Rectangle Trial. Hematological Oncology. 41(S2). 483–484.
7.
Wilson, Brooke E., Annette E. Hay, Kelvin Chan, Matthew C. Cheung, & Timothy P. Hanna. (2023). Augmenting clinical trial economic analysis by linking cancer trial data to administrative data: current landscape and future opportunities. BMJ Open. 13(8). e073353–e073353. 1 indexed citations
8.
Villa, Diego, Jean-François Larouche, Matthew C. Cheung, et al.. (2023). Rituximab Combined with Chemotherapy and Acalabrutinib Prior to Autologous Stem Cell Transplantation in Mantle Cell Lymphoma: The Rectangle Trial. Blood. 142(Supplement 1). 3042–3042.
9.
Mattison, Ryan J., Rachel S. Bercovitz, Richard Lottenberg, et al.. (2023). Identifying experts for clinical practice guidelines: perspectives from the ASH Guideline Oversight Subcommittee. Blood Advances. 7(16). 4323–4326. 1 indexed citations
10.
Mozessohn, Lee, Ning Liu, Brian Leber, et al.. (2023). Impact of Frailty on Health Care Resource Utilization and Costs of Care in Myelodysplastic Syndromes. JCO Oncology Practice. 19(4). e559–e569. 3 indexed citations
11.
12.
Coyle, Krysta M., Matthew C. Cheung, Bruno M. Grande, et al.. (2022). Shared and distinct genetic features in human and canine B-cell lymphomas. Blood Advances. 6(11). 3404–3409. 5 indexed citations
13.
Giannakeas, Vasily, Joanne Kotsopoulos, Jennifer D. Brooks, et al.. (2022). Platelet Count and Survival after Cancer. Cancers. 14(3). 549–549. 34 indexed citations
14.
Balassanian, Ronald, Matthew C. Cheung, Lorenzo Falchi, et al.. (2021). Global Cytopathology-Hematopathology Practice Trends. American Journal of Clinical Pathology. 157(2). 196–201. 2 indexed citations
15.
16.
Truong, Judy, et al.. (2019). The impact of pricing strategy on the costs of oral anti‐cancer drugs. Cancer Medicine. 8(8). 3770–3781. 8 indexed citations
17.
Umairi, Rashid Al, et al.. (2018). Rosai-Dorfman Disease: Rare Pulmonary Involvement Mimicking Pulmonary Langerhans Cell Histiocytosis and Review of the Literature. SHILAP Revista de lepidopterología. 2018. 1–5. 4 indexed citations
18.
Truong, Judy, et al.. (2017). The impact of cancer drug wastage on economic evaluations. Cancer. 123(18). 3583–3590. 10 indexed citations
19.
Cheung, Matthew C., Sarah K. Andersen, Craig C. Earle, Ruth Croxford, & Simron Singh. (2017). Days Spent at Home in the Last 6 Months of Life. a Potential Patient-Determined Quality Indicator for Patients with Hematologic Malignancies at the End of Life. Blood. 130. 281–281. 1 indexed citations
20.
Kuruvilla, John, David MacDonald, C. Tom Kouroukis, et al.. (2015). Salvage chemotherapy and autologous stem cell transplantation for transformed indolent lymphoma: a subset analysis of NCIC CTG LY12. Blood. 126(6). 733–738. 28 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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