M. Tabrizizad

1.0k total citations
8 papers, 824 citations indexed

About

M. Tabrizizad is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, M. Tabrizizad has authored 8 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 4 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in M. Tabrizizad's work include CAR-T cell therapy research (4 papers), Immunotherapy and Immune Responses (3 papers) and Immune Cell Function and Interaction (3 papers). M. Tabrizizad is often cited by papers focused on CAR-T cell therapy research (4 papers), Immunotherapy and Immune Responses (3 papers) and Immune Cell Function and Interaction (3 papers). M. Tabrizizad collaborates with scholars based in United States and France. M. Tabrizizad's co-authors include Ben Powell, Michael V. Milburn, Yoshihisa Suzuki, Catherine A. Luu, Marina Zemskova, Michelle M. Lilly, Sheldon L. Holder, Ryan Bremer, Jonathan W. Neidigh and Chao Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Structure.

In The Last Decade

M. Tabrizizad

8 papers receiving 805 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Tabrizizad United States 5 507 224 191 188 151 8 824
Jui-Wen Huang Taiwan 14 809 1.6× 309 1.4× 160 0.8× 123 0.7× 128 0.8× 19 1.2k
Peppi Prasit United States 21 592 1.2× 126 0.6× 242 1.3× 189 1.0× 120 0.8× 44 1.2k
F. Christopher Zusi United States 13 561 1.1× 217 1.0× 135 0.7× 89 0.5× 296 2.0× 19 1.0k
Noriko Uchiyama Japan 14 477 0.9× 155 0.7× 183 1.0× 96 0.5× 91 0.6× 28 769
Long G. Wang United States 10 465 0.9× 244 1.1× 113 0.6× 61 0.3× 40 0.3× 11 761
Mariano Cárdenas Argentina 8 402 0.8× 153 0.7× 98 0.5× 86 0.5× 153 1.0× 11 717
Valérie Hindie France 10 877 1.7× 300 1.3× 76 0.4× 38 0.2× 120 0.8× 12 1.3k
Tony Eight Lin Taiwan 18 644 1.3× 220 1.0× 175 0.9× 109 0.6× 53 0.4× 60 881
Paresh Thakker United States 15 310 0.6× 120 0.5× 133 0.7× 72 0.4× 360 2.4× 25 918
Richard Gowan United States 6 706 1.4× 315 1.4× 139 0.7× 44 0.2× 57 0.4× 7 944

Countries citing papers authored by M. Tabrizizad

Since Specialization
Citations

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

Fields of papers citing papers by M. Tabrizizad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Tabrizizad

This figure shows the co-authorship network connecting the top 25 collaborators of M. Tabrizizad. A scholar is included among the top collaborators of M. Tabrizizad 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 M. Tabrizizad. M. Tabrizizad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Xue, Yang, M. Tabrizizad, Louise Kiru, et al.. (2022). 198 Innate-enhanced chimeric adaptors (CAd): A newly-described approach for augmenting potency of γδ T cell immunotherapy. Regular and Young Investigator Award Abstracts. A211–A211. 1 indexed citations
2.
Makkouk, Amani, Xue Yang, Anthony Lucas, et al.. (2021). Off-the-shelf Vδ1 gamma delta T cells engineered with glypican-3 (GPC-3)-specific chimeric antigen receptor (CAR) and soluble IL-15 display robust antitumor efficacy against hepatocellular carcinoma. Journal for ImmunoTherapy of Cancer. 9(12). e003441–e003441. 134 indexed citations
3.
Makkouk, Amani, Xue Yang, Anthony Lucas, et al.. (2021). Allogeneic Vδ1 gamma delta T cells engineered with glypican-3 (GPC3)-specific CAR expressing soluble IL-15 have enhanced antitumor efficacy against hepatocellular carcinoma in preclinical models.. Journal of Clinical Oncology. 39(15_suppl). e14511–e14511. 3 indexed citations
4.
Makkouk, Amani, Xue Yang, Anthony Lucas, et al.. (2021). 119 ADI-002: an IL-15 armored allogeneic ‘off-the-shelf’ Vδ1 gamma delta CAR T cell therapy for solid tumors targeting glypican-3 (GPC3). Regular and Young Investigator Award Abstracts. A128–A128. 3 indexed citations
5.
Holder, Sheldon L., Marina Zemskova, Chao Zhang, et al.. (2007). Characterization of a potent and selective small-molecule inhibitor of the PIM1 kinase. Molecular Cancer Therapeutics. 6(1). 163–172. 158 indexed citations
6.
Wang, Weiru, Adhirai Marimuthu, James Tsai, et al.. (2006). Structural characterization of autoinhibited c-Met kinase produced by coexpression in bacteria with phosphatase. Proceedings of the National Academy of Sciences. 103(10). 3563–3568. 61 indexed citations
7.
Wang, Weiru, Chao Zhang, Adhirai Marimuthu, et al.. (2005). The crystal structures of human steroidogenic factor-1 and liver receptor homologue-1. Proceedings of the National Academy of Sciences. 102(21). 7505–7510. 126 indexed citations
8.
Card, G.L., B.P. England, Yoshihisa Suzuki, et al.. (2004). Structural Basis for the Activity of Drugs that Inhibit Phosphodiesterases. Structure. 12(12). 2233–2247. 338 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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