Julius Chapiro
Impact in
- Hepatology top 0.5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
Papers in
- Hepatology 91
- Hepatocellular Carcinoma Treatment and Prognosis 91
- Liver Disease and Transplantation 7
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- Radiomics and Machine Learning in Medical Imaging 26
- MRI in cancer diagnosis 18
- COVID-19 diagnosis using AI 6
- Co-authors
- MingDe Lin (74 shared papers)Lynn Jeanette Savic (45 shared papers)Rafael Durán (37 shared papers)James S. Duncan (26 shared papers)Jean-François H. Geschwind (32 shared papers)Todd Schlachter (28 shared papers)Rüdiger Schernthaner (21 shared papers)Isabel Schobert (13 shared papers)
- Journals
- Journal of Vascular and Interventional Radiology (23 papers)European Radiology (22 papers)Radiology (14 papers)CardioVascular and Interventional Radiology (8 papers)Academic Radiology (4 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Julius Chapiro
143 papers receiving 3.3k citations
Julius Chapiro's Hit Papers
Peers
Comparison fields: 5 of 127
- Hepatology 1.4k
- Health Informatics 171
- Radiology, Nuclear Medicine and Imaging 973
- Health Information Management 85
- Cancer Research 232
Countries citing papers authored by Julius Chapiro
This map shows the geographic impact of Julius Chapiro'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 Julius Chapiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julius Chapiro more than expected).
Fields of papers citing papers by Julius Chapiro
This network shows the impact of papers produced by Julius Chapiro. 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 Julius Chapiro. The network helps show where Julius Chapiro may publish in the future.
Co-authors
The 25 scholars most cited alongside Julius Chapiro, 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 151 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI Hit paper breakdown → | 2019 | 262 |
| 2 | 2018 | 140 | |
| 3 | Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction Hit paper breakdown → | 2022 | 137 |
| 4 | 2019 | 126 | |
| 5 | 2013 | 93 | |
| 6 | 2015 | 93 | |
| 7 | 2014 | 92 | |
| 8 | 2019 | 91 | |
| 9 | 2020 | 88 | |
| 10 | 2020 | 66 | |
| 11 | 2016 | 62 | |
| 12 | 2023 | 59 | |
| 13 | 2015 | 59 | |
| 14 | 2020 | 59 | |
| 15 | 2021 | 58 | |
| 16 | 2019 | 55 | |
| 17 | 2019 | 51 | |
| 18 | 2014 | 50 | |
| 19 | 2017 | 50 | |
| 20 | 2014 | 48 |
About Julius Chapiro
Julius Chapiro is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Epidemiology, Oncology and Biomedical Engineering, having authored 151 papers that have together received 3.4k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (91 papers), Radiomics and Machine Learning in Medical Imaging (26 papers), MRI in cancer diagnosis (18 papers), Liver Disease Diagnosis and Treatment (8 papers), Liver Disease and Transplantation (7 papers), AI in cancer detection (6 papers), COVID-19 diagnosis using AI (6 papers) and Pancreatic and Hepatic Oncology Research (6 papers). The work is most often cited by research in Hepatology (1.4k citations), Health Informatics (171 citations), Radiology, Nuclear Medicine and Imaging (973 citations), Health Information Management (85 citations) and Cancer Research (232 citations). Julius Chapiro has collaborated with scholars based in United States, Germany and France. Frequent co-authors include MingDe Lin, Lynn Jeanette Savic, Rafael Durán, James S. Duncan, Jean-François H. Geschwind, Todd Schlachter, Rüdiger Schernthaner, Isabel Schobert, Brian Letzen and Clinton J. Wang. Their work appears in journals such as Journal of Vascular and Interventional Radiology, European Radiology, Radiology, CardioVascular and Interventional Radiology 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.