Anthony R. Mato

6.2k citations
85 papers · 2.8k indexed · 1 hit paper · h-index 24
Topics
Lymphoma Diagnosis and Treatment (56 papers)Chronic Lymphocytic Leukemia Research (31 papers)CAR-T cell therapy research (18 papers)
Journals
New England Journal of MedicineJournal of Clinical OncologySHILAP Revista de lepidopterología

In The Last Decade

Anthony R. Mato

82 papers receiving 2.8k citations

Hit Papers

Chimeric Antigen Receptor T Cells in Refractory B-Cell Ly...201720262020202320174008001.2k

Peers

Anthony R. Mato
Comparison fields: 5 of 72
  • Oncology 1.9k
  • Pathology and Forensic Medicine 1.1k
  • Genetics 746
  • Molecular Biology 632
  • Immunology 619
Replace Tanya Siddiqi with:
Tanya Siddiqi United States
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Anthony R. Mato relative to Tanya Siddiqi United States Tanya Siddiqi's profile →
Citations per field
00.5×1.5×
Tanya Siddiqi · 1×
Citations per year

Countries citing papers authored by Anthony R. Mato

Since Specialization
Citations

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

Fields of papers citing papers by Anthony R. Mato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anthony R. Mato. 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 Anthony R. Mato. The network helps show where Anthony R. Mato may publish in the future.

Co-authorship network of co-authors of Anthony R. Mato

This figure shows the co-authorship network connecting the top 25 collaborators of Anthony R. Mato. A scholar is included among the top collaborators of Anthony R. Mato 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 Anthony R. Mato. Anthony R. Mato 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
#WorkIndexed citations
1 9
2 32
3 11
4 4
5 17
6 4
7
Chimeric Antigen Receptor T Cells in Refractory B-Cell Lymphomasbreakdown →
1266
8 12
9 46
10 113
11 19
12 48
13 1
14
PEG-Asparaginase Based Multidrug Chemotherapy is Effective for Refractory Disseminated Extranodal NK/T-Cell Lymphoma With Leptomentigeal Involvement: A Clinical Case Report and Review of Literature
1
15 1
16 37
17 29
18 4
19 29
20 49

About Anthony R. Mato

Anthony R. Mato is a scholar working on Pathology and Forensic Medicine, Genetics and Hematology, having authored 85 papers that have together received 2.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (56 papers), Chronic Lymphocytic Leukemia Research (31 papers) and CAR-T cell therapy research (18 papers). The work is most often cited by research in Oncology (1.9k citations), Genetics (746 citations) and Pathology and Forensic Medicine (1.1k citations). Anthony R. Mato has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Jakub Svoboda, Stephen J. Schuster, Sunita D. Nasta, Daniel J. Landsburg, Elise A. Chong, Simon F. Lacey, Carl H. June, Bruce L. Levine, J. Joseph Melenhorst and David L. Porter. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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