Milena Cerny
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Health Informatics top 5%
Papers in
-
- MRI in cancer diagnosis 7
- Radiomics and Machine Learning in Medical Imaging 6
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- Hepatocellular Carcinoma Treatment and Prognosis 9
- Co-authors
- An Tang (16 shared papers)Damien Olivié (10 shared papers)Jean-Sébastien Billiard (6 shared papers)Simon Turcotte (7 shared papers)Samuel Kadoury (6 shared papers)Franck Vandenbroucke‐Menu (3 shared papers)Guillaume Gilbert (5 shared papers)Takeshi Yokoo (2 shared papers)
- Journals
- Abdominal Radiology (3 papers)Insights into Imaging (2 papers)Radiographics (2 papers)Radiology Artificial Intelligence (1 paper)PLoS ONE (1 paper)
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Milena Cerny
24 papers receiving 903 citations
Peers
Comparison fields: 5 of 77
- Hepatology 333
- Health Informatics 27
- Radiology, Nuclear Medicine and Imaging 329
- Genetics 73
- Epidemiology 164
Countries citing papers authored by Milena Cerny
This map shows the geographic impact of Milena Cerny'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 Milena Cerny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milena Cerny more than expected).
Fields of papers citing papers by Milena Cerny
This network shows the impact of papers produced by Milena Cerny. 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 Milena Cerny. The network helps show where Milena Cerny may publish in the future.
Co-authors
The 25 scholars most cited alongside Milena Cerny, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 127 | |
| 2 | 2020 | 116 | |
| 3 | 2018 | 103 | |
| 4 | 2019 | 100 | |
| 5 | 2018 | 88 | |
| 6 | 2019 | 54 | |
| 7 | 2016 | 40 | |
| 8 | 2015 | 36 | |
| 9 | 2018 | 34 | |
| 10 | 2016 | 33 | |
| 11 | 2019 | 31 | |
| 12 | 2018 | 30 | |
| 13 | 2016 | 21 | |
| 14 | 2013 | 18 | |
| 15 | 2019 | 17 | |
| 16 | 2020 | 16 | |
| 17 | 2020 | 14 | |
| 18 | 2021 | 12 | |
| 19 | 2019 | 10 | |
| 20 | 2017 | 7 |
About Milena Cerny
Milena Cerny is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology, Epidemiology, Surgery and Genetics, having authored 24 papers that have together received 920 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), MRI in cancer diagnosis (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Hemoglobinopathies and Related Disorders (2 papers), Colorectal Cancer Surgical Treatments (2 papers), Orthopedic Surgery and Rehabilitation (1 paper) and Bone and Joint Diseases (1 paper). The work is most often cited by research in Hepatology (333 citations), Health Informatics (27 citations), Radiology, Nuclear Medicine and Imaging (329 citations), Genetics (73 citations) and Epidemiology (164 citations). Milena Cerny has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include An Tang, Damien Olivié, Jean-Sébastien Billiard, Simon Turcotte, Samuel Kadoury, Franck Vandenbroucke‐Menu, Guillaume Gilbert, Takeshi Yokoo, Jessica Murphy-Lavallée and Pierre Perreault. Their work appears in journals such as Abdominal Radiology, Insights into Imaging, Radiographics, Radiology Artificial Intelligence and PLoS ONE.
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.