Julia Arribas
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
-
- Colorectal Cancer Screening and Detection
- Colorectal Cancer Surgical Treatments
Papers in
- Oncology 4
- Colorectal Cancer Screening and Detection 4
- Colorectal Cancer Treatments and Studies 1
- Co-authors
- Alanna EbigboMário Dinis‐RibeiroGiulio AntonelliHelmut MessmannCesare HassanPrateek SharmaYuichi MoriAlessandro Repici
- Journals
- Cancers (1 paper)International Journal of Molecular Sciences (1 paper)Endoscopy (1 paper)Gastrointestinal Endoscopy (1 paper)The Lancet Digital Health (1 paper)
- Partner nations
- United StatesItalyPortugal
In The Last Decade
Julia Arribas
6 papers receiving 231 citations
Hit Papers
Peers
Comparison fields: 5 of 44
- Health Informatics 24
- Oncology 158
- Radiology, Nuclear Medicine and Imaging 74
- Pulmonary and Respiratory Medicine 99
- Gastroenterology 10
Countries citing papers authored by Julia Arribas
This map shows the geographic impact of Julia Arribas'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 Arribas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Arribas more than expected).
Fields of papers citing papers by Julia Arribas
This network shows the impact of papers produced by Julia Arribas. 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 Arribas. The network helps show where Julia Arribas may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Arribas, 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 | Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study Hit paper breakdown → | 2022 | 126 |
| 2 | 2022 | 0 | |
| 3 | 2021 | 18 | |
| 4 | 2020 | 50 | |
| 5 | 2019 | 24 | |
| 6 | 2019 | 11 | |
| 7 | [Right endocarditis caused by Staphylococcus aureus in parenteral drug addicts: evaluation of a combined therapeutic scheme for 2 weeks versus conventional treatment]. | 1993 | 7 |
About Julia Arribas
Julia Arribas is a scholar working on Toxicology, Oncology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 236 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (4 papers), Gastric Cancer Management and Outcomes (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Genetic factors in colorectal cancer (2 papers), Esophageal Cancer Research and Treatment (2 papers), AI in cancer detection (1 paper), Colorectal Cancer Treatments and Studies (1 paper) and Blood disorders and treatments (1 paper). The work is most often cited by research in Health Informatics (24 citations), Oncology (158 citations), Radiology, Nuclear Medicine and Imaging (74 citations), Pulmonary and Respiratory Medicine (99 citations) and Gastroenterology (10 citations). Julia Arribas has collaborated with scholars based in United States, Italy and Portugal. Frequent co-authors include Alanna Ebigbo, Mário Dinis‐Ribeiro, Giulio Antonelli, Helmut Messmann, Cesare Hassan, Prateek Sharma, Yuichi Mori, Alessandro Repici, Loredana Correale and Ishita Barua. Their work appears in journals such as Cancers, International Journal of Molecular Sciences, Endoscopy, Gastrointestinal Endoscopy and The Lancet Digital Health.
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.