Danny F. Martinez
- Radiology, Nuclear Medicine and Imaging top 2%
- Artificial Intelligence top 5%
- Pulmonary and Respiratory Medicine
- Oncology
- Cancer Research
- Co-authors
- Elizabeth A. MorrisKatja PinkerSunitha B. ThakurMaxine S. JochelsonDoris LeithnerElizabeth J. SuttonBlanca Bernard‐DavilaMaria Adele Marino
- Topics
- Radiomics and Machine Learning in Medical Imaging (23 papers)MRI in cancer diagnosis (21 papers)Radiopharmaceutical Chemistry and Applications (7 papers)
- Journals
- Journal of Clinical OncologyJournal of Nuclear MedicineBreast Cancer Research and Treatment
- Partner nations
- United StatesAustriaGermany
In The Last Decade
Danny F. Martinez
35 papers receiving 821 citations
Peers
Comparison fields: 5 of 58
- Radiology, Nuclear Medicine and Imaging 700
- Artificial Intelligence 209
- Pulmonary and Respiratory Medicine 119
- Oncology 108
- Cancer Research 90
Countries citing papers authored by Danny F. Martinez
This map shows the geographic impact of Danny F. Martinez'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 Danny F. Martinez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danny F. Martinez more than expected).
Fields of papers citing papers by Danny F. Martinez
This network shows the impact of papers produced by Danny F. Martinez. 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 Danny F. Martinez. The network helps show where Danny F. Martinez may publish in the future.
Co-authorship network of co-authors of Danny F. Martinez
This figure shows the co-authorship network connecting the top 25 collaborators of Danny F. Martinez. A scholar is included among the top collaborators of Danny F. Martinez 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 Danny F. Martinez. Danny F. Martinez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 12 | |
| 5 | 11 | |
| 6 | 52 | |
| 7 | 28 | |
| 8 | 72 | |
| 9 | 6 | |
| 10 | 16 | |
| 11 | 59 | |
| 12 | 8 | |
| 13 | 88 | |
| 14 | 11 | |
| 15 | 48 | |
| 16 | 30 | |
| 17 | 5 | |
| 18 | 106 | |
| 19 | 28 | |
| 20 | 9 |
About Danny F. Martinez
Danny F. Martinez is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Pathology and Forensic Medicine, having authored 37 papers that have together received 824 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (23 papers), MRI in cancer diagnosis (21 papers) and Radiopharmaceutical Chemistry and Applications (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (700 citations), Health Informatics (9 citations) and Artificial Intelligence (209 citations). Danny F. Martinez has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Elizabeth A. Morris, Katja Pinker, Sunitha B. Thakur, Maxine S. Jochelson, Doris Leithner, Elizabeth J. Sutton, Blanca Bernard‐Davila, Maria Adele Marino, Peter Gibbs and João V. Horvat. Their work appears in journals such as Journal of Clinical Oncology, Journal of Nuclear Medicine and Breast Cancer Research and Treatment.
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.