Matthew J. Matasar

8.3k total citations · 2 hit papers
190 papers, 3.9k citations indexed

About

Matthew J. Matasar is a scholar working on Pathology and Forensic Medicine, Oncology and Genetics. According to data from OpenAlex, Matthew J. Matasar has authored 190 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Pathology and Forensic Medicine, 90 papers in Oncology and 56 papers in Genetics. Recurrent topics in Matthew J. Matasar's work include Lymphoma Diagnosis and Treatment (129 papers), Chronic Lymphocytic Leukemia Research (53 papers) and CAR-T cell therapy research (50 papers). Matthew J. Matasar is often cited by papers focused on Lymphoma Diagnosis and Treatment (129 papers), Chronic Lymphocytic Leukemia Research (53 papers) and CAR-T cell therapy research (50 papers). Matthew J. Matasar collaborates with scholars based in United States, Canada and Australia. Matthew J. Matasar's co-authors include Andrew D. Zelenetz, Craig H. Moskowitz, Sarit Assouline, Laurie H. Sehn, Alfred I. Neugut, Craig S. Sauter, Andrew McMillan, Elicia Penuel, Ariela Noy and Heiko Schöder and has published in prestigious journals such as Journal of Clinical Oncology, Blood and JNCI Journal of the National Cancer Institute.

In The Last Decade

Matthew J. Matasar

168 papers receiving 3.9k citations

Hit Papers

Polatuzumab Vedotin in Relapsed or Refractory Diffuse Lar... 2019 2026 2021 2023 2019 2022 100 200 300 400

Peers

Matthew J. Matasar
Paul A. Hamlin United States
Matthew J. Matasar
Citations per year, relative to Matthew J. Matasar Matthew J. Matasar (= 1×) peers Paul A. Hamlin

Countries citing papers authored by Matthew J. Matasar

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Matasar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew J. Matasar

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Matasar. A scholar is included among the top collaborators of Matthew J. Matasar 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 J. Matasar. Matthew J. Matasar 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.
Ferrante, Jeanne M., Jenna Howard, Shawna V. Hudson, et al.. (2025). Perspectives of Lymphoma Survivors and Oncology Care Providers on Survivorship Care: A Qualitative Study. JCO Oncology Practice. 21(10). 1458–1467.
2.
Caimi, Paolo F., et al.. (2024). Phase 1 Study of ARV-393, a PROTAC BCL6 Degrader, in Advanced Non-Hodgkin Lymphoma. Blood. 144(Supplement 1). 6505–6505. 4 indexed citations
3.
Matasar, Matthew J., Marcus Messmer, Rashmi Khanal, et al.. (2024). Abstract CT245: Circulating tumor DNA and nivolumab maintenance: A pilot study in diffuse large B cell lymphoma. Cancer Research. 84(7_Supplement). CT245–CT245.
4.
Smith, Alexandra N., Matthew J. Maurer, Julie Teruya‐Feldstein, et al.. (2024). Matched control analysis suggests that R-CHOP followed by (R)-ICE may improve outcome in non-GCB DLBCL compared with R-CHOP. Blood Advances. 8(9). 2172–2181. 2 indexed citations
5.
Budde, Lihua E., Sarit Assouline, Laurie H. Sehn, et al.. (2024). Durable Responses With Mosunetuzumab in Relapsed/Refractory Indolent and Aggressive B-Cell Non-Hodgkin Lymphomas: Extended Follow-Up of a Phase I/II Study. Journal of Clinical Oncology. 42(19). 2250–2256. 34 indexed citations
6.
Ghione, Paola, Erel Joffe, M. Lia Palomba, et al.. (2024). CD5 expression in marginal zone lymphoma does not predict inferior outcome and has similarities to indolent lymphomas. PubMed. 1(4). 100031–100031. 1 indexed citations
8.
Hamlin, Paul A., Anita Kumar, Matthew J. Matasar, et al.. (2024). A phase 1 trial of abexinostat with ibrutinib in relapsed/refractory mantle cell lymphoma and non-germinal center diffuse large B cell lymphoma. Leukemia & lymphoma. 65(14). 2224–2227.
9.
Matasar, Matthew J., Nancy L. Bartlett, Mazyar Shadman, et al.. (2023). Mosunetuzumab Safety Profile in Patients With Relapsed/Refractory B-cell Non-Hodgkin Lymphoma: Clinical Management Experience From a Pivotal Phase I/II Trial. Clinical Lymphoma Myeloma & Leukemia. 24(4). 240–253. 10 indexed citations
10.
Buege, Michael J., Esther Drill, Steven M. Horwitz, et al.. (2023). Low incidence of cardiotoxicity in patients with non‐Hodgkin lymphoma receiving EPOCH after prior anthracycline exposure. European Journal Of Haematology. 111(1). 96–102.
11.
Schuster, Stephen J., Ling‐Yuh Huw, Christopher R. Bolen, et al.. (2023). Loss of CD20 expression as a mechanism of resistance to mosunetuzumab in relapsed/refractory B-cell lymphomas. Blood. 143(9). 822–832. 34 indexed citations
12.
Salz, Talya, Emily C. Zabor, Peter de Nully Brown, et al.. (2022). Cardiovascular risk factors, radiation therapy, and myocardial infarction among lymphoma survivors. Acta Oncologica. 61(9). 1064–1068. 4 indexed citations
13.
Sehn, Laurie H., Mark Hertzberg, Stephen Opat, et al.. (2021). Polatuzumab vedotin plus bendamustine and rituximab in relapsed/refractory DLBCL: survival update and new extension cohort data. Blood Advances. 6(2). 533–543. 107 indexed citations
14.
Budde, Elizabeth, Ajay K. Gopal, Won Seog Kim, et al.. (2021). A Phase 1 Dose Escalation Study of Igm-2323, a Novel Anti-CD20 x Anti-CD3 IgM T Cell Engager (TCE) in Patients with Advanced B-Cell Malignancies. Blood. 138(Supplement 1). 132–132. 22 indexed citations
15.
Joffe, Erel, Yan Leyfman, Esther Drill, et al.. (2021). Active surveillance of primary extranodal marginal zone lymphoma of bronchus-associated lymphoid tissue. Blood Advances. 5(2). 345–351. 7 indexed citations
16.
Matasar, Matthew J., et al.. (2021). Healthcare Resource Utilization and Costs of Patients with Relapsed/Refractory Follicular Lymphoma Receiving 3 or More Lines of Therapy. Blood. 138(Supplement 1). 1923–1923. 1 indexed citations
17.
Matasar, Matthew J., Chan Y. Cheah, Dok Hyun Yoon, et al.. (2020). Subcutaneous Mosunetuzumab in Relapsed or Refractory B-Cell Lymphoma: Promising Safety and Encouraging Efficacy in Dose Escalation Cohorts. Blood. 136(Supplement 1). 45–46. 27 indexed citations
18.
Borchmann, Sven, Erel Joffe, Craig H. Moskowitz, et al.. (2019). Active surveillance for nodular lymphocyte-predominant Hodgkin lymphoma. Blood. 133(20). 2121–2129. 26 indexed citations
19.
Kumar, Anita, Fushen Sha, Ahmed Toure, et al.. (2019). Patterns of survival in patients with recurrent mantle cell lymphoma in the modern era: progressive shortening in response duration and survival after each relapse. Blood Cancer Journal. 9(6). 50–50. 76 indexed citations
20.
Matasar, Matthew J., Myron S. Czuczman, Maria Alma Rodriguez, et al.. (2013). Ofatumumab in combination with ICE or DHAP chemotherapy in relapsed or refractory intermediate grade B-cell lymphoma. Blood. 122(4). 499–506. 45 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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