Greg Motz

1.2k total citations · 1 hit paper
10 papers, 947 citations indexed

About

Greg Motz is a scholar working on Oncology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Greg Motz has authored 10 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 8 papers in Immunology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Greg Motz's work include CAR-T cell therapy research (6 papers), Immune Cell Function and Interaction (5 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Greg Motz is often cited by papers focused on CAR-T cell therapy research (6 papers), Immune Cell Function and Interaction (5 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Greg Motz collaborates with scholars based in United States, Switzerland and Spain. Greg Motz's co-authors include George Coukos, Ignacio Melero, Ana Rouzaut, Klara Balint, Lana E. Kandalaft, Rosemarie Mick, János L. Tanyi, Cheryl Lai-Lai Chiang, Michael T. Borchers and Brian W. Wortham and has published in prestigious journals such as Blood, Immunity and The Journal of Immunology.

In The Last Decade

Greg Motz

10 papers receiving 935 citations

Hit Papers

Deciphering and Reversing Tumor Immune Suppression 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Greg Motz United States 5 653 590 232 109 92 10 947
Marion V. Guérin France 9 699 1.1× 601 1.0× 269 1.2× 123 1.1× 107 1.2× 10 1.0k
Deepthi Madhireddy United States 3 468 0.7× 501 0.8× 200 0.9× 79 0.7× 71 0.8× 3 781
Jason B. Muhitch United States 14 649 1.0× 628 1.1× 281 1.2× 144 1.3× 177 1.9× 33 1.2k
Roni Rayes Canada 14 691 1.1× 284 0.5× 205 0.9× 128 1.2× 98 1.1× 39 1.0k
Samuel Haile United States 10 366 0.6× 559 0.9× 202 0.9× 154 1.4× 65 0.7× 14 885
Anusha-Preethi Ganesan United States 6 639 1.0× 581 1.0× 297 1.3× 59 0.5× 112 1.2× 9 1.0k
Maria M. Martins Brazil 4 443 0.7× 492 0.8× 164 0.7× 67 0.6× 67 0.7× 11 738
Kellsye P. Fabian United States 16 505 0.8× 503 0.9× 222 1.0× 59 0.5× 88 1.0× 31 873
Xuexiang Du United States 10 504 0.8× 586 1.0× 204 0.9× 61 0.6× 59 0.6× 21 856
Jonathan Chabon United States 5 466 0.7× 505 0.9× 259 1.1× 67 0.6× 74 0.8× 7 819

Countries citing papers authored by Greg Motz

Since Specialization
Citations

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

Fields of papers citing papers by Greg Motz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Greg Motz

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

All Works

10 of 10 papers shown
1.
Whiteman, Kathleen R., Sujatha Muralidharan, Tyler Johnson, et al.. (2022). BOXR1030, an anti-GPC3 CAR with exogenous GOT2 expression, shows enhanced T cell metabolism and improved anti-cell line derived tumor xenograft activity. PLoS ONE. 17(5). e0266980–e0266980. 24 indexed citations
2.
Whiteman, Kathleen R., Tyler Johnson, Glen J. Weiss, et al.. (2020). Abstract 2184: BOXR1030: A first-in-class CAR T-cell therapy co-expressing GOT2 enhances T-cell metabolic function for the treatment of GPC3-positive solid tumors. Cancer Research. 80(16_Supplement). 2184–2184. 1 indexed citations
4.
Motz, Greg, Kathleen R. Whiteman, Ann Ranger, et al.. (2018). Abstract B105: ACTR707: a novel T-cell therapy for the treatment of relapsed or refractory CD20+ B cell lymphoma in combination with rituximab. Molecular Cancer Therapeutics. 17(1_Supplement). B105–B105. 3 indexed citations
5.
O’Callaghan, Katie, Allison Nelson, Greg Motz, et al.. (2017). Adaptability of Antibody-Coupled T Cell Receptor (ACTR) Engineered Autologous T Cells in Combination with Daratumumab over CAR-Based Approaches. Blood. 130. 3189–3189. 2 indexed citations
6.
Melero, Ignacio, Ana Rouzaut, Greg Motz, & George Coukos. (2014). T-Cell and NK-Cell Infiltration into Solid Tumors: A Key Limiting Factor for Efficacious Cancer Immunotherapy. Cancer Discovery. 4(5). 522–526. 359 indexed citations
7.
Kandalaft, Lana E., Cheryl Lai-Lai Chiang, János L. Tanyi, et al.. (2013). A Phase I vaccine trial using dendritic cells pulsed with autologous oxidized lysate for recurrent ovarian cancer. Journal of Translational Medicine. 11(1). 149–149. 53 indexed citations
8.
Motz, Greg & George Coukos. (2013). Deciphering and Reversing Tumor Immune Suppression. Immunity. 39(1). 61–73. 457 indexed citations breakdown →
9.
Wortham, Brian W., Bryan L. Eppert, Greg Motz, et al.. (2012). NKG2D Mediates NK Cell Hyperresponsiveness and Influenza-Induced Pathologies in a Mouse Model of Chronic Obstructive Pulmonary Disease. The Journal of Immunology. 188(9). 4468–4475. 43 indexed citations
10.
Eppert, Bryan L., et al.. (2010). Cigarette Smoke Exposure Leads To Production Of Pathogenic Antibodies In A Murine Model. A3883–A3883. 1 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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