Julia Arfi
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
- Breast Lesions and Carcinomas
Papers in
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- Lymphoma Diagnosis and Treatment 8
- Breast Lesions and Carcinomas 6
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- Digital Radiography and Breast Imaging 5
- Co-authors
- Corinne Balleyguier (9 shared papers)Benoît Schmauch (1 shared paper)Simon Jégou (1 shared paper)Paul Jehanno (1 shared paper)Olivier Dehaene (1 shared paper)Bruno Boyer (3 shared papers)Paul Hérent (1 shared paper)Charlie Saillard (1 shared paper)
- Journals
- European Journal of Cancer (3 papers)American Journal of Hematology (2 papers)European Journal of Radiology (2 papers)Diagnostic and Interventional Imaging (2 papers)Blood (1 paper)
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Julia Arfi
24 papers receiving 520 citations
Peers
Comparison fields: 5 of 54
- Health Informatics 20
- Pathology and Forensic Medicine 103
- Pulmonary and Respiratory Medicine 98
- Radiology, Nuclear Medicine and Imaging 69
- Artificial Intelligence 103
Countries citing papers authored by Julia Arfi
This map shows the geographic impact of Julia Arfi'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 Julia Arfi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Arfi more than expected).
Fields of papers citing papers by Julia Arfi
This network shows the impact of papers produced by Julia Arfi. 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 Julia Arfi. The network helps show where Julia Arfi may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Arfi, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 104 | |
| 2 | 2014 | 95 | |
| 3 | 2017 | 49 | |
| 4 | 2016 | 40 | |
| 5 | 2016 | 31 | |
| 6 | 2017 | 30 | |
| 7 | 2012 | 25 | |
| 8 | 2018 | 22 | |
| 9 | 2023 | 22 | |
| 10 | 2017 | 21 | |
| 11 | 2010 | 13 | |
| 12 | 2016 | 13 | |
| 13 | 2017 | 13 | |
| 14 | 2019 | 11 | |
| 15 | 2018 | 9 | |
| 16 | 2015 | 8 | |
| 17 | 2020 | 6 | |
| 18 | 2017 | 5 | |
| 19 | 2017 | 3 | |
| 20 | 2023 | 3 |
About Julia Arfi
Julia Arfi is a scholar working on Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Hematology and Surgery, having authored 27 papers that have together received 530 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (8 papers), Breast Lesions and Carcinomas (6 papers), Digital Radiography and Breast Imaging (5 papers), Neuroendocrine Tumor Research Advances (2 papers), Vascular anomalies and interventions (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (1 paper) and Adrenal and Paraganglionic Tumors (1 paper). The work is most often cited by research in Health Informatics (20 citations), Pathology and Forensic Medicine (103 citations), Pulmonary and Respiratory Medicine (98 citations), Radiology, Nuclear Medicine and Imaging (69 citations) and Artificial Intelligence (103 citations). Julia Arfi has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Corinne Balleyguier, Benoît Schmauch, Simon Jégou, Paul Jehanno, Olivier Dehaene, Bruno Boyer, Paul Hérent, Charlie Saillard, Éric Baudin and Sophie Leboulleux. Their work appears in journals such as European Journal of Cancer, American Journal of Hematology, European Journal of Radiology, Diagnostic and Interventional Imaging and Blood.
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.