Adriana Calin
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology
- Pulmonary and Respiratory Medicine
- Rheumatology
- Biomedical Engineering
- Co-authors
- Egbert F. SmitRegina G. H. Beets‐TanStefano TrebeschiDoenja M. J. LambregtsHugo J.W.L. AertsIeva KurilovaJohn B.A.G. HaanenChintan Parmar
- Topics
- MRI in cancer diagnosis (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)Hepatocellular Carcinoma Treatment and Prognosis (2 papers)
- Partner nations
- RomaniaNetherlandsDenmark
In The Last Decade
Adriana Calin
8 papers receiving 478 citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Radiology, Nuclear Medicine and Imaging 318
- Oncology 191
- Pulmonary and Respiratory Medicine 151
- Rheumatology 75
- Biomedical Engineering 64
Countries citing papers authored by Adriana Calin
This map shows the geographic impact of Adriana Calin'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 Adriana Calin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adriana Calin more than expected).
Fields of papers citing papers by Adriana Calin
This network shows the impact of papers produced by Adriana Calin. 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 Adriana Calin. The network helps show where Adriana Calin may publish in the future.
Co-authorship network of co-authors of Adriana Calin
This figure shows the co-authorship network connecting the top 25 collaborators of Adriana Calin. A scholar is included among the top collaborators of Adriana Calin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Adriana Calin. Adriana Calin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Predicting response to cancer immunotherapy using noninvasive radiomic biomarkersbreakdown → | 372 |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 10 | |
| 5 | 4 | |
| 6 | 8 | |
| 7 | 10 | |
| 8 | Observer variation in grading sacroiliac radiographs in HLA-B27 positive individuals. | 66 |
| 9 | HLA B27 and sacroiliitis in Pima Indians--association in males only. | 12 |
About Adriana Calin
Adriana Calin is a scholar working on Internal Medicine, Radiology, Nuclear Medicine and Imaging and Hepatology, having authored 9 papers that have together received 485 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (318 citations), Health Informatics (16 citations) and Oncology (191 citations). Adriana Calin has collaborated with scholars based in Romania, Netherlands and Denmark. Frequent co-authors include Egbert F. Smit, Regina G. H. Beets‐Tan, Stefano Trebeschi, Doenja M. J. Lambregts, Hugo J.W.L. Aerts, Ieva Kurilova, John B.A.G. Haanen, Chintan Parmar, Christian U. Blank and Andrea Delli Pizzi. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology and European Journal of Cancer.
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.