Irena Tocino
- Pathology and Forensic Medicine top 1%
- Cancer Research top 2%
- Surgery top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Co-authors
- Liane E. PhilpottsCheng‐Han LeeLaura J. HorvathRobert LangeW. Phil EvansMartha B. MainieroDarryl CarterMark D. Siegel
- Topics
- Breast Lesions and Carcinomas (13 papers)Breast Cancer Treatment Studies (11 papers)Radiomics and Machine Learning in Medical Imaging (10 papers)
- Partner nations
- United StatesPakistanSwitzerland
In The Last Decade
Irena Tocino
58 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 98
- Pathology and Forensic Medicine 1.1k
- Cancer Research 802
- Surgery 488
- Radiology, Nuclear Medicine and Imaging 428
- Artificial Intelligence 381
Countries citing papers authored by Irena Tocino
This map shows the geographic impact of Irena Tocino'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 Irena Tocino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irena Tocino more than expected).
Fields of papers citing papers by Irena Tocino
This network shows the impact of papers produced by Irena Tocino. 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 Irena Tocino. The network helps show where Irena Tocino may publish in the future.
Co-authorship network of co-authors of Irena Tocino
This figure shows the co-authorship network connecting the top 25 collaborators of Irena Tocino. A scholar is included among the top collaborators of Irena Tocino 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 Irena Tocino. Irena Tocino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 20 | |
| 3 | 40 | |
| 4 | 107 | |
| 5 | Routine chest radiographs in uncomplicated hypertension. American College of Radiology. ACR Appropriateness Criteria. | 2 |
| 6 | 120 | |
| 7 | 102 | |
| 8 | 115 | |
| 9 | 13 | |
| 10 | 35 | |
| 11 | 132 | |
| 12 | 28 | |
| 13 | 205 | |
| 14 | 60 | |
| 15 | 14 | |
| 16 | 37 | |
| 17 | 19 | |
| 18 | 18 | |
| 19 | 19 | |
| 20 | 11 |
About Irena Tocino
Irena Tocino is a scholar working on Critical Care and Intensive Care Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 60 papers that have together received 1.8k indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (13 papers), Breast Cancer Treatment Studies (11 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.1k citations), Cancer Research (802 citations) and Dermatology (333 citations). Irena Tocino has collaborated with scholars based in United States, Pakistan and Switzerland. Frequent co-authors include Liane E. Philpotts, Cheng‐Han Lee, Laura J. Horvath, Robert Lange, W. Phil Evans, Martha B. Mainiero, Darryl Carter, Mark D. Siegel, Roger J. Jackman and Steve H. Parker. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Neurology.
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.