Mario A. Cedillo
Impact in
- Health Informatics top 5%
-
- Ultrasound in Clinical Applications
Papers in
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- Venous Thromboembolism Diagnosis and Management 3
- Co-authors
- Mark FinkelsteinSamuel Z. MaronAdam JacobiAdam BernheimNicholas VoutsinasDanielle ToussieSayan MannaMichael Chung
- Journals
- Journal of Vascular and Interventional Radiology (4 papers)Radiology Artificial Intelligence (1 paper)Radiology (1 paper)Radiology Cardiothoracic Imaging (1 paper)Academic Radiology (1 paper)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Mario A. Cedillo
16 papers receiving 478 citations
Peers
Comparison fields: 5 of 55
- Health Informatics 30
- Critical Care and Intensive Care Medicine 64
- Radiology, Nuclear Medicine and Imaging 247
- Infectious Diseases 169
- Internal Medicine 33
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-authorship network
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 | 2021 | 18 | |
| 2 | 2021 | 2 | |
| 3 | 2021 | 8 | |
| 4 | 2020 | 41 | |
| 5 | 2020 | 230 | |
| 6 | 2020 | 52 | |
| 7 | 2020 | 5 | |
| 8 | 2020 | 30 | |
| 9 | 2020 | 43 | |
| 10 | 2020 | 4 | |
| 11 | 2020 | 6 | |
| 12 | 2019 | 1 | |
| 13 | 2019 | 40 | |
| 14 | 2019 | 1 | |
| 15 | 2019 | 3 | |
| 16 | 2019 | 3 |
About Mario A. Cedillo
Mario A. Cedillo is a scholar working on Internal Medicine, Health Informatics, Critical Care and Intensive Care Medicine, Hepatology and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 487 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Radiology practices and education (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), Ultrasound in Clinical Applications (2 papers) and Cardiovascular Disease and Adiposity (1 paper). The work is most often cited by research in Health Informatics (30 citations), Critical Care and Intensive Care Medicine (64 citations), Radiology, Nuclear Medicine and Imaging (247 citations), Infectious Diseases (169 citations) and Internal Medicine (33 citations). Mario A. Cedillo has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Mark Finkelstein, Samuel Z. Maron, Adam Jacobi, Adam Bernheim, Nicholas Voutsinas, Danielle Toussie, Sayan Manna, Michael Chung, Corey Eber and Yogesh Sean Gupta. Their work appears in journals such as Journal of Vascular and Interventional Radiology, Radiology Artificial Intelligence, Radiology, Radiology Cardiothoracic Imaging and Academic Radiology.
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.