David Fuentes
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Health Informatics top 5%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 28
- MRI in cancer diagnosis 10
- Medical Imaging Techniques and Applications 10
- Infrared Thermography in Medicine 9
- Radiation 18
- Advanced Radiotherapy Techniques 16
- Co-authors
- R. Jason StaffordJohn D. HazleJeffrey S. WeinbergKhaled M. ElsayesYusheng FengAli MorshidKamran AhrarAhmed Khalaf
- Journals
- International Journal of Hyperthermia (12 papers)Medical Physics (6 papers)American Journal of Neuroradiology (5 papers)Journal of Applied Clinical Medical Physics (4 papers)Physics in Medicine and Biology (4 papers)
- Partner nations
- United StatesSpainFrance
In The Last Decade
David Fuentes
101 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 136
- Radiology, Nuclear Medicine and Imaging 747
- Health Informatics 33
- Hepatology 156
- Modeling and Simulation 84
- Radiation 130
Countries citing papers authored by David Fuentes
This map shows the geographic impact of David Fuentes'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 David Fuentes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Fuentes more than expected).
Fields of papers citing papers by David Fuentes
This network shows the impact of papers produced by David Fuentes. 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 David Fuentes. The network helps show where David Fuentes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Fuentes, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 0 | |
| 11 | 2022 | 20 | |
| 12 | 2020 | 3 | |
| 13 | 2020 | 11 | |
| 14 | 2020 | 12 | |
| 15 | 2019 | 2 | |
| 16 | 2019 | 92 | |
| 17 | Role of Wnt/β-catenin signaling in hepatocellular carcinoma, pathogenesis, and clinical significance | 2018 | 5 |
| 18 | 2018 | 58 | |
| 19 | 2017 | 9 | |
| 20 | 2015 | 70 |
About David Fuentes
David Fuentes is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Health Informatics, Genetics and Hepatology, having authored 113 papers that have together received 1.9k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (28 papers), Photoacoustic and Ultrasonic Imaging (17 papers), Advanced Radiotherapy Techniques (16 papers), Ultrasound and Hyperthermia Applications (15 papers), Glioma Diagnosis and Treatment (13 papers), MRI in cancer diagnosis (10 papers), Medical Imaging Techniques and Applications (10 papers) and Infrared Thermography in Medicine (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (747 citations), Health Informatics (33 citations), Hepatology (156 citations), Modeling and Simulation (84 citations) and Radiation (130 citations). David Fuentes has collaborated with scholars based in United States, Spain and France. Frequent co-authors include R. Jason Stafford, John D. Hazle, Jeffrey S. Weinberg, Khaled M. Elsayes, Yusheng Feng, Ali Morshid, Kamran Ahrar, Ahmed Khalaf, Manal M. Hassan and Ahmed O. Kaseb. Their work appears in journals such as International Journal of Hyperthermia, Medical Physics, American Journal of Neuroradiology, Journal of Applied Clinical Medical Physics and Physics in Medicine and Biology.
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.