Gary Mo
Impact in
-
- Vascular Tumors and Angiosarcomas
- CAR-T cell therapy research
- Cancer Cells and Metastasis
Papers in
- Oncology 9
- Vascular Tumors and Angiosarcomas 5
- Cancer Cells and Metastasis 2
- Colorectal Cancer Screening and Detection 2
-
- Sarcoma Diagnosis and Treatment 7
- Co-authors
- Wojciech Krzyżański (2 shared papers)Robin L. Jones (4 shared papers)William D. Tap (3 shared papers)Damien M. Cronier (4 shared papers)Robert Ilaria (4 shared papers)John R. Baldwin (3 shared papers)Ilaria Conti (3 shared papers)Robert J. Bauer (1 shared paper)
- Journals
- Journal of Clinical Oncology (4 papers)Cancer Medicine (2 papers)Clinical and Translational Science (2 papers)Annals of Oncology (2 papers)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Gary Mo
18 papers receiving 150 citations
Peers
Comparison fields: 5 of 61
- Oncology 68
- Modeling and Simulation 11
- Pulmonary and Respiratory Medicine 69
- Statistics and Probability 16
- Cancer Research 20
Countries citing papers authored by Gary Mo
This map shows the geographic impact of Gary Mo'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 Gary Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary Mo more than expected).
Fields of papers citing papers by Gary Mo
This network shows the impact of papers produced by Gary Mo. 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 Gary Mo. The network helps show where Gary Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Gary Mo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 46 | |
| 2 | 2017 | 21 | |
| 3 | 2013 | 12 | |
| 4 | 2014 | 12 | |
| 5 | 2020 | 9 | |
| 6 | 2018 | 9 | |
| 7 | 2019 | 9 | |
| 8 | 2018 | 8 | |
| 9 | 2014 | 6 | |
| 10 | 2025 | 6 | |
| 11 | 2025 | 5 | |
| 12 | 2021 | 2 | |
| 13 | 2019 | 2 | |
| 14 | 2019 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2016 | 1 | |
| 17 | 2016 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Gary Mo
Gary Mo is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 21 papers that have together received 153 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (7 papers), Vascular Tumors and Angiosarcomas (5 papers), Statistical Methods in Clinical Trials (3 papers), Cancer Cells and Metastasis (2 papers), AI in cancer detection (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Colorectal Cancer Screening and Detection (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Oncology (68 citations), Modeling and Simulation (11 citations), Pulmonary and Respiratory Medicine (69 citations), Statistics and Probability (16 citations) and Cancer Research (20 citations). Gary Mo has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Wojciech Krzyżański, Robin L. Jones, William D. Tap, Damien M. Cronier, Robert Ilaria, John R. Baldwin, Ilaria Conti, Robert J. Bauer, Michael Heathman and Javier Martín‐Broto. Their work appears in journals such as Journal of Clinical Oncology, Cancer Medicine, Clinical and Translational Science, Annals of Oncology and Molecular Cancer Therapeutics.
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.