Julius Chapiro
Impact in
- Hepatology top 0.5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Health Informatics top 0.5%
Papers in
- Hepatology 101
- Hepatocellular Carcinoma Treatment and Prognosis 100
- Liver Disease and Transplantation 14
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- Radiomics and Machine Learning in Medical Imaging 44
- MRI in cancer diagnosis 39
- Co-authors
- MingDe Lin (73 shared papers)Lynn Jeanette Savic (42 shared papers)Rafael Durán (37 shared papers)Jean-François H. Geschwind (32 shared papers)Todd Schlachter (27 shared papers)James S. Duncan (24 shared papers)Rüdiger Schernthaner (21 shared papers)Isabel Schobert (12 shared papers)
- Journals
- European Radiology (22 papers)Journal of Vascular and Interventional Radiology (21 papers)Radiology (14 papers)CardioVascular and Interventional Radiology (8 papers)Scientific Reports (4 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Julius Chapiro
139 papers receiving 3.1k citations
Julius Chapiro's Hit Papers
Peers
Comparison fields: 5 of 130
- Hepatology 1.5k
- Health Informatics 169
- Radiology, Nuclear Medicine and Imaging 1.4k
- Cancer Research 341
- Oncology 544
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 144 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 | 245 |
| 2 | 2018 | 130 | |
| 3 | 2019 | 122 | |
| 4 | Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction Hit paper breakdown → | 2022 | 119 |
| 5 | 2015 | 91 | |
| 6 | 2014 | 91 | |
| 7 | 2013 | 89 | |
| 8 | 2020 | 85 | |
| 9 | 2019 | 67 | |
| 10 | 2020 | 64 | |
| 11 | 2016 | 59 | |
| 12 | 2015 | 59 | |
| 13 | 2021 | 56 | |
| 14 | 2019 | 53 | |
| 15 | 2017 | 49 | |
| 16 | 2014 | 48 | |
| 17 | 2023 | 48 | |
| 18 | 2014 | 47 | |
| 19 | 2019 | 47 | |
| 20 | 2021 | 44 |
About Julius Chapiro
Julius Chapiro is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology and Epidemiology, having authored 144 papers that have together received 3.1k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (100 papers), Radiomics and Machine Learning in Medical Imaging (44 papers), MRI in cancer diagnosis (39 papers), Liver Disease Diagnosis and Treatment (16 papers), Liver Disease and Transplantation (14 papers), Renal cell carcinoma treatment (13 papers), Cancer, Hypoxia, and Metabolism (13 papers) and Advanced X-ray and CT Imaging (10 papers). The work is most often cited by research in Hepatology (1.5k citations), Health Informatics (169 citations), Radiology, Nuclear Medicine and Imaging (1.4k citations), Cancer Research (341 citations) and Oncology (544 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, Jean-François H. Geschwind, Todd Schlachter, James S. Duncan, Rüdiger Schernthaner, Isabel Schobert, Brian Letzen and Clinton J. Wang. Their work appears in journals such as European Radiology, Journal of Vascular and Interventional Radiology, Radiology, CardioVascular and Interventional Radiology and Scientific Reports.
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.