Mario A. Cedillo
Impact in
- Health Informatics top 5%
-
- Ultrasound in Clinical Applications
Papers in
-
- COVID-19 diagnosis using AI 3
- Radiology practices and education 2
- Radiomics and Machine Learning in Medical Imaging 1
-
- Pneumothorax, Barotrauma, Emphysema 1
- Co-authors
- Samuel Z. Maron (6 shared papers)Mark Finkelstein (7 shared papers)Nicholas Voutsinas (6 shared papers)Adam Jacobi (6 shared papers)Sayan Manna (6 shared papers)Corey Eber (6 shared papers)Adam Bernheim (6 shared papers)Michael Chung (6 shared papers)
- Journals
- Journal of Vascular and Interventional Radiology (4 papers)CHEST Journal (1 paper)Radiology (1 paper)Abdominal Radiology (1 paper)Neuroimaging Clinics of North America (1 paper)
- Partner nations
- United StatesPuerto RicoIsrael
In The Last Decade
Mario A. Cedillo
16 papers receiving 487 citations
Peers
Comparison fields: 5 of 49
- Health Informatics 25
- Critical Care and Intensive Care Medicine 42
- Radiology, Nuclear Medicine and Imaging 180
- Infectious Diseases 143
- Internal Medicine 19
Countries citing papers authored by Mario A. Cedillo
This map shows the geographic impact of Mario A. Cedillo'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 Mario A. Cedillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario A. Cedillo more than expected).
Fields of papers citing papers by Mario A. Cedillo
This network shows the impact of papers produced by Mario A. Cedillo. 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 Mario A. Cedillo. The network helps show where Mario A. Cedillo may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario A. Cedillo, 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 | 2020 | 231 | |
| 2 | 2020 | 53 | |
| 3 | 2020 | 44 | |
| 4 | 2020 | 42 | |
| 5 | 2019 | 41 | |
| 6 | 2020 | 30 | |
| 7 | 2021 | 20 | |
| 8 | 2021 | 9 | |
| 9 | 2020 | 6 | |
| 10 | 2020 | 5 | |
| 11 | 2020 | 4 | |
| 12 | 2019 | 3 | |
| 13 | 2019 | 3 | |
| 14 | 2021 | 2 | |
| 15 | 2019 | 1 | |
| 16 | 2019 | 1 |
About Mario A. Cedillo
Mario A. Cedillo is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Epidemiology, Hepatology and Critical Care and Intensive Care Medicine, having authored 16 papers that have together received 495 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Radiology practices and education (2 papers), Ultrasound in Clinical Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Pneumothorax, Barotrauma, Emphysema (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Health Informatics (25 citations), Critical Care and Intensive Care Medicine (42 citations), Radiology, Nuclear Medicine and Imaging (180 citations), Infectious Diseases (143 citations) and Internal Medicine (19 citations). Mario A. Cedillo has collaborated with scholars based in United States, Puerto Rico and Israel. Frequent co-authors include Samuel Z. Maron, Mark Finkelstein, Nicholas Voutsinas, Adam Jacobi, Sayan Manna, Corey Eber, Adam Bernheim, Michael Chung, Danielle Toussie and Yogesh Sean Gupta. Their work appears in journals such as Journal of Vascular and Interventional Radiology, CHEST Journal, Radiology, Abdominal Radiology and Neuroimaging Clinics of North America.
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.