Ieva Kurilova
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis 8
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- Radiomics and Machine Learning in Medical Imaging 6
- Health Informatics top 10%
- Oncology top 10%
- Colorectal Cancer Treatments and Studies 3
- Colorectal Cancer Surgical Treatments 3
- Cancer Immunotherapy and Biomarkers 2
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- Lung Cancer Diagnosis and Treatment 4
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- Advanced Radiotherapy Techniques 3
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- Cholangiocarcinoma and Gallbladder Cancer Studies 2
- Co-authors
- Regina G. H. Beets‐TanStefano TrebeschiHugo J.W.L. AertsEgbert F. SmitAndrea Delli PizziKoen J. HarteminkConstantinos T. SofocleousSilvia Girolama Drago
- Journals
- Journal of Clinical Oncology (1 paper)Annals of Oncology (1 paper)American Journal of Roentgenology (1 paper)
- Partner nations
- NetherlandsUnited StatesDenmark
In The Last Decade
Ieva Kurilova
16 papers receiving 673 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Hepatology 177
- Radiology, Nuclear Medicine and Imaging 398
- Health Informatics 20
- Oncology 322
- Pulmonary and Respiratory Medicine 279
Countries citing papers authored by Ieva Kurilova
This map shows the geographic impact of Ieva Kurilova'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 Ieva Kurilova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ieva Kurilova more than expected).
Fields of papers citing papers by Ieva Kurilova
This network shows the impact of papers produced by Ieva Kurilova. 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 Ieva Kurilova. The network helps show where Ieva Kurilova may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ieva Kurilova, 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 | 2024 | 8 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 10 | |
| 4 | 2021 | 37 | |
| 5 | 2021 | 20 | |
| 6 | 2020 | 2 | |
| 7 | 2020 | 57 | |
| 8 | 2020 | 17 | |
| 9 | Predicting response to cancer immunotherapy using noninvasive radiomic biomarkersbreakdown → | 2019 | 372 |
| 10 | 2019 | 6 | |
| 11 | 2018 | 6 | |
| 12 | 2018 | 28 | |
| 13 | 2018 | 60 | |
| 14 | 2017 | 10 | |
| 15 | 2017 | 35 | |
| 16 | 2016 | 6 |
About Ieva Kurilova
Ieva Kurilova is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Radiation, having authored 16 papers that have together received 676 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Lung Cancer Diagnosis and Treatment (4 papers), Colorectal Cancer Treatments and Studies (3 papers), Colorectal Cancer Surgical Treatments (3 papers), Advanced Radiotherapy Techniques (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Hepatology (177 citations), Radiology, Nuclear Medicine and Imaging (398 citations) and Health Informatics (20 citations). Ieva Kurilova has collaborated with scholars based in Netherlands, United States and Denmark. Frequent co-authors include Regina G. H. Beets‐Tan, Stefano Trebeschi, Hugo J.W.L. Aerts, Egbert F. Smit, Andrea Delli Pizzi, Koen J. Hartemink, Constantinos T. Sofocleous, Silvia Girolama Drago, Adriana Calin and Doenja M. J. Lambregts. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology and American Journal of Roentgenology.
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.