Greg Motz
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Oncology 7
- CAR-T cell therapy research 6
- Cancer Immunotherapy and Biomarkers 2
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- Immune Cell Function and Interaction 3
- Biosimilars and Bioanalytical Methods 3
- Immunotherapy and Immune Responses 2
- Co-authors
- George Coukos (3 shared papers)Ana Rouzaut (1 shared paper)Ignacio Melero (1 shared paper)Rosemarie Mick (1 shared paper)Klara Balint (1 shared paper)Cheryl Lai-Lai Chiang (1 shared paper)János L. Tanyi (1 shared paper)Lana E. Kandalaft (1 shared paper)
- Journals
- Blood (2 papers)Cancer Discovery (1 paper)PLoS ONE (1 paper)The Journal of Immunology (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesSwitzerlandSpain
In The Last Decade
Greg Motz
10 papers receiving 946 citations
Greg Motz's Hit Papers
Peers
Comparison fields: 5 of 72
- Immunology 604
- Oncology 541
- Cancer Research 60
- Biotechnology 28
- Molecular Biology 211
Countries citing papers authored by Greg Motz
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
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-authors
The 25 scholars most cited alongside Greg Motz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Deciphering and Reversing Tumor Immune Suppression Hit paper breakdown → | 2013 | 460 |
| 2 | 2014 | 363 | |
| 3 | 2013 | 53 | |
| 4 | 2012 | 44 | |
| 5 | 2022 | 25 | |
| 6 | 2018 | 4 | |
| 7 | 2018 | 3 | |
| 8 | 2017 | 2 | |
| 9 | 2020 | 1 | |
| 10 | 2010 | 1 |
About Greg Motz
Greg Motz is a scholar working on Oncology, Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Genetics, having authored 10 papers that have together received 956 indexed citations. Recurring topics across this work include CAR-T cell therapy research (6 papers), Immune Cell Function and Interaction (3 papers), Biosimilars and Bioanalytical Methods (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Immunotherapy and Immune Responses (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Immunology (604 citations), Oncology (541 citations), Cancer Research (60 citations), Biotechnology (28 citations) and Molecular Biology (211 citations). Greg Motz has collaborated with scholars based in United States, Switzerland and Spain. Frequent co-authors include George Coukos, Ana Rouzaut, Ignacio Melero, Rosemarie Mick, Klara Balint, Cheryl Lai-Lai Chiang, János L. Tanyi, Lana E. Kandalaft, Mauricio Orozco‐Levi and Melissa D. Maxfield. Their work appears in journals such as Blood, Cancer Discovery, PLoS ONE, The Journal of Immunology and Cancer Research.
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.