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 8
- CAR-T cell therapy research 6
- Cancer Immunotherapy and Biomarkers 3
-
- Immune Cell Function and Interaction 5
- Biosimilars and Bioanalytical Methods 3
- Immunotherapy and Immune Responses 3
- Co-authors
- George Coukos (3 shared papers)Ignacio Melero (1 shared paper)Ana Rouzaut (1 shared paper)Klara Balint (1 shared paper)Cheryl Lai-Lai Chiang (1 shared paper)Lana E. Kandalaft (1 shared paper)Rosemarie Mick (1 shared paper)János L. Tanyi (1 shared paper)
- Journals
- Blood (2 papers)Journal of Translational Medicine (1 paper)The Journal of Immunology (1 paper)Molecular Cancer Therapeutics (1 paper)Immunity (1 paper)
- Partner nations
- United StatesSwitzerlandSpain
In The Last Decade
Greg Motz
10 papers receiving 935 citations
Greg Motz's Hit Papers
Peers
Comparison fields: 5 of 76
- Immunology 653
- Oncology 590
- Cancer Research 70
- Molecular Biology 232
- Biotechnology 27
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 | 457 |
| 2 | 2014 | 359 | |
| 3 | 2013 | 53 | |
| 4 | 2012 | 43 | |
| 5 | 2022 | 24 | |
| 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 947 indexed citations. Recurring topics across this work include CAR-T cell therapy research (6 papers), Immune Cell Function and Interaction (5 papers), Biosimilars and Bioanalytical Methods (3 papers), Immunotherapy and Immune Responses (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Pediatric health and respiratory diseases (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Immunology (653 citations), Oncology (590 citations), Cancer Research (70 citations), Molecular Biology (232 citations) and Biotechnology (27 citations). Greg Motz has collaborated with scholars based in United States, Switzerland and Spain. Frequent co-authors include George Coukos, Ignacio Melero, Ana Rouzaut, Klara Balint, Cheryl Lai-Lai Chiang, Lana E. Kandalaft, Rosemarie Mick, János L. Tanyi, Mauricio Orozco‐Levi and Albert P. Senft. Their work appears in journals such as Blood, Journal of Translational Medicine, The Journal of Immunology, Molecular Cancer Therapeutics and Immunity.
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.