Evis Sala
- Obstetrics and Gynecology top 0.1%
- Endometrial and Cervical Cancer Treatments 61
- Uterine Myomas and Treatments 15
- Reproductive Medicine top 0.1%
- Ovarian cancer diagnosis and treatment 85
- Health Informatics top 0.1%
- Radiology, Nuclear Medicine and Imaging top 0.05%
- Radiomics and Machine Learning in Medical Imaging 108
- MRI in cancer diagnosis 57
- Pulmonary and Respiratory Medicine top 0.5%
- Prostate Cancer Diagnosis and Treatment 39
- Prostate Cancer Treatment and Research 31
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- AI in cancer detection 20
- Co-authors
- Hedvig HricakHebert Alberto VargasLeonardo RundoCaroline ReinholdDavid J. LomasHarini VeeraraghavanStéphanie NougaretChaya S. Moskowitz
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Evis Sala
262 papers receiving 12.0k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Obstetrics and Gynecology 2.8k
- Reproductive Medicine 2.9k
- Health Informatics 414
- Radiology, Nuclear Medicine and Imaging 6.1k
- Pulmonary and Respiratory Medicine 3.6k
Countries citing papers authored by Evis Sala
This map shows the geographic impact of Evis Sala'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 Evis Sala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evis Sala more than expected).
Fields of papers citing papers by Evis Sala
This network shows the impact of papers produced by Evis Sala. 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 Evis Sala. The network helps show where Evis Sala may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Evis Sala, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2024 | 9 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 6 | |
| 10 | 2024 | 13 | |
| 11 | 2024 | 0 | |
| 12 | 2024 | 5 | |
| 13 | 2023 | 9 | |
| 14 | 2023 | 2 | |
| 15 | 2023 | 4 | |
| 16 | 2023 | 5 | |
| 17 | 2021 | 10 | |
| 18 | 2020 | 0 | |
| 19 | 2017 | 88 | |
| 20 | 2014 | 36 |
About Evis Sala
Evis Sala is a scholar working on Reproductive Medicine, Health Informatics, Obstetrics and Gynecology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 278 papers that have together received 12.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (108 papers), Ovarian cancer diagnosis and treatment (85 papers), Endometrial and Cervical Cancer Treatments (61 papers), MRI in cancer diagnosis (57 papers), Prostate Cancer Diagnosis and Treatment (39 papers), Prostate Cancer Treatment and Research (31 papers), AI in cancer detection (20 papers) and Uterine Myomas and Treatments (15 papers). The work is most often cited by research in Obstetrics and Gynecology (2.8k citations), Reproductive Medicine (2.9k citations), Health Informatics (414 citations), Radiology, Nuclear Medicine and Imaging (6.1k citations) and Pulmonary and Respiratory Medicine (3.6k citations). Evis Sala has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Hedvig Hricak, Hebert Alberto Vargas, Leonardo Rundo, Caroline Reinhold, David J. Lomas, Harini Veeraraghavan, Stéphanie Nougaret, Chaya S. Moskowitz, Michael Yeung and Carola‐Bibiane Schönlieb. Their work appears in journals such as European Radiology, Radiology, Radiographics, American Journal of Roentgenology and British Journal of 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.