Matthew Mei

3.9k total citations
108 papers, 1.1k citations indexed

About

Matthew Mei is a scholar working on Oncology, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, Matthew Mei has authored 108 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Oncology, 58 papers in Pathology and Forensic Medicine and 24 papers in Genetics. Recurrent topics in Matthew Mei's work include Lymphoma Diagnosis and Treatment (56 papers), CAR-T cell therapy research (45 papers) and Chronic Lymphocytic Leukemia Research (14 papers). Matthew Mei is often cited by papers focused on Lymphoma Diagnosis and Treatment (56 papers), CAR-T cell therapy research (45 papers) and Chronic Lymphocytic Leukemia Research (14 papers). Matthew Mei collaborates with scholars based in United States, Germany and Chile. Matthew Mei's co-authors include Stephen J. Forman, Alex F. Herrera, Ibrahim Aldoss, Vinod Pullarkat, Guido Marcucci, Leslie Popplewell, Larry W. Kwak, Steven T. Rosen, Ryotaro Nakamura and Lihua E. Budde 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 Mei

91 papers receiving 1.1k 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 Mei United States 20 523 391 292 286 216 108 1.1k
Simone Ferrero Italy 18 462 0.9× 583 1.5× 270 0.9× 390 1.4× 347 1.6× 82 1.3k
Stanley Frankel United States 13 424 0.8× 362 0.9× 240 0.8× 211 0.7× 514 2.4× 24 1.2k
Cristiana Carniti Italy 21 439 0.8× 245 0.6× 169 0.6× 392 1.4× 396 1.8× 59 1.2k
Hyeon‐Seok Eom South Korea 24 864 1.7× 679 1.7× 301 1.0× 530 1.9× 412 1.9× 133 1.7k
Mark Bishton United Kingdom 20 507 1.0× 477 1.2× 214 0.7× 209 0.7× 686 3.2× 71 1.3k
Gareth P. Gregory Australia 16 495 0.9× 421 1.1× 221 0.8× 184 0.6× 290 1.3× 74 956
Yair Herishanu Israel 15 279 0.5× 213 0.5× 207 0.7× 175 0.6× 265 1.2× 36 1.0k
Sheeja T. Pullarkat United States 13 508 1.0× 272 0.7× 113 0.4× 116 0.4× 234 1.1× 43 980
Gisele W. B. Colleoni Brazil 21 590 1.1× 348 0.9× 152 0.5× 432 1.5× 678 3.1× 85 1.5k
Jan B. Egan United States 16 448 0.9× 436 1.1× 216 0.7× 709 2.5× 868 4.0× 34 1.6k

Countries citing papers authored by Matthew Mei

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Mei

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Mei. A scholar is included among the top collaborators of Matthew Mei 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 Mei. Matthew Mei 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.
2.
Xiao, Annie, Lu Chen, Matthew Mei, et al.. (2025). Real-world infectious complications of CD3/CD20 bispecific antibodies in relapsed/refractory non-Hodgkin lymphoma. Leukemia & lymphoma. 66(12). 2260–2268.
3.
Ladbury, Colton, Sagus Sampath, Jeffrey Wong, et al.. (2024). Prognostic significance of fludeoxyglucose positron emission tomography delta radiomics following bridging therapy in patients with large B-cell lymphoma undergoing CAR T-cell therapy. Frontiers in Immunology. 15. 1419788–1419788. 1 indexed citations
5.
Goldsmith, Scott, Geoffrey Shouse, F. Lennie Wong, et al.. (2024). Clonal Hematopoiesis is Associated With Severe Cytokine Release Syndrome in Patients Treated With Chimeric Antigen Receptor T-Cell (CART) Therapy. Transplantation and Cellular Therapy. 30(9). 927.e1–927.e9. 5 indexed citations
6.
Stuver, Robert, Esther Drill, Nivetha Ganesan, et al.. (2023). Outcomes for Patients with Classical Hodgkin Lymphoma Who Relapse after Autologous Stem Cell Transplant in the Era of Novel Therapies. Blood. 142(Supplement 1). 3069–3069. 1 indexed citations
7.
Ong, Shin Yeu, Matthew Mei, Leslie Popplewell, et al.. (2023). Bendamustine lymphodepletion is a well‐tolerated alternative to fludarabine and cyclophosphamide lymphodepletion for axicabtagene ciloleucel therapy for aggressive B‐cell lymphoma. American Journal of Hematology. 98(11). 1751–1761. 17 indexed citations
10.
Goldsmith, Scott, Geoffrey Shouse, F. Lennie Wong, et al.. (2023). Clonal Hematopoiesis Is Associated with Severe Cytokine Release Syndrome in Patients Treated with Chimeric Antigen Receptor T-Cell (CAR-T) Therapy. Blood. 142(Supplement 1). 4814–4814.
11.
Saumoy, Monica, Yecheskel Schneider, Lihua E. Budde, et al.. (2022). Cost-effectiveness of polatuzumab vedotin combined with chemoimmunotherapy in untreated diffuse large B-cell lymphoma. Blood. 140(25). 2697–2708. 14 indexed citations
12.
Malki, Monzr M. Al, Joycelynne Palmer, Ni‐Chun Tsai, et al.. (2022). Total marrow and lymphoid irradiation as conditioning in haploidentical transplant with posttransplant cyclophosphamide. Blood Advances. 6(14). 4098–4106. 15 indexed citations
13.
Mei, Matthew, Lisa Masucci, & Michael D. Jain. (2022). Cellular therapy: Great promise, but at what cost?. Molecular Therapy. 31(1). 5–6. 1 indexed citations
14.
Aldoss, Ibrahim, Jianying Zhang, Matthew Mei, et al.. (2020). Venetoclax and hypomethylating agents in FLT3‐mutated acute myeloid leukemia. American Journal of Hematology. 95(10). 1193–1199. 27 indexed citations
15.
Gupta, Rohan, Idoroenyi Amanam, Chen Chen, et al.. (2020). Characteristics and Trends of Adult Acute Lymphoblastic Leukemia in a Large, Public Safety-Net Hospital. Clinical Lymphoma Myeloma & Leukemia. 20(6). e320–e327. 5 indexed citations
16.
Chen, Robert, Alex F. Herrera, Lu Chen, et al.. (2019). Inhibition of MDR1 Overcomes Resistance to Brentuximab Vedotin in Hodgkin Lymphoma. Clinical Cancer Research. 26(5). 1034–1044. 61 indexed citations
17.
Slavin, Thomas P., Jennifer Berano Teh, Jeffrey N. Weitzel, et al.. (2019). Association between Clonal Hematopoiesis and Late Nonrelapse Mortality after Autologous Hematopoietic Cell Transplantation. Biology of Blood and Marrow Transplantation. 25(12). 2517–2521. 18 indexed citations
18.
Chen, Robert W., Joycelynne Palmer, Alex F. Herrera, et al.. (2017). Phase II Study of Brentuximab Vedotin Plus Ibrutinib for Patients with Relapsed/Refractory Hodgkin Lymphoma. Blood. 130(Suppl_1). 738–738. 6 indexed citations
19.
Mukherjea, Arnab, et al.. (2016). A Novel Method for Evaluating Value Assessment Frameworks. Value in Health. 19(7). A376–A376.
20.
Mei, Matthew, Sandra H. Thomas, & Robert Chen. (2013). Management of Relapsed or Refractory Hodgkin Lymphoma with Second-Generation Antibody–Drug Conjugates: Focus on Brentuximab Vedotin. BioDrugs. 28(3). 245–251. 13 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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