Sergio Grosu
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
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- Medical Imaging Techniques and Applications 4
- Radiation Dose and Imaging 3
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- Hepatocellular Carcinoma Treatment and Prognosis 2
- Co-authors
- Jens Ricke (11 shared papers)Stefan Maurus (7 shared papers)Thomas Knösel (5 shared papers)Michael Ingrisch (4 shared papers)Clemens C. Cyran (4 shared papers)Anno Graser (3 shared papers)Philipp Maximilian Kazmierczak (3 shared papers)Philipp Wesp (3 shared papers)
- Journals
- European Radiology (3 papers)European Journal of Radiology (2 papers)Radiology (2 papers)Scientific Reports (2 papers)Nutrients (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Sergio Grosu
25 papers receiving 267 citations
Peers
Comparison fields: 5 of 63
- Radiology, Nuclear Medicine and Imaging 91
- Health Informatics 6
- Structural Biology 5
- Oncology 58
- Hepatology 12
Countries citing papers authored by Sergio Grosu
This map shows the geographic impact of Sergio Grosu'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 Sergio Grosu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Grosu more than expected).
Fields of papers citing papers by Sergio Grosu
This network shows the impact of papers produced by Sergio Grosu. 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 Sergio Grosu. The network helps show where Sergio Grosu may publish in the future.
Co-authors
The 25 scholars most cited alongside Sergio Grosu, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 46 | |
| 2 | 2022 | 29 | |
| 3 | 2021 | 29 | |
| 4 | 2021 | 26 | |
| 5 | 2016 | 25 | |
| 6 | 2020 | 25 | |
| 7 | 2021 | 21 | |
| 8 | 2020 | 15 | |
| 9 | 2024 | 8 | |
| 10 | 2025 | 6 | |
| 11 | 2019 | 5 | |
| 12 | 2020 | 5 | |
| 13 | Preoperative ultrasonography as a mean of predicting the conversion of mini cholecystectomy into classic cholecystectomy. | 2010 | 4 |
| 14 | 2022 | 4 | |
| 15 | 2019 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2022 | 2 |
About Sergio Grosu
Sergio Grosu is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology, Cardiology and Cardiovascular Medicine, Epidemiology and Biomedical Engineering, having authored 27 papers that have together received 277 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (5 papers), Medical Imaging Techniques and Applications (4 papers), Radiation Dose and Imaging (3 papers), Acute Ischemic Stroke Management (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Gallbladder and Bile Duct Disorders (2 papers), Dementia and Cognitive Impairment Research (2 papers) and Nutritional Studies and Diet (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (91 citations), Health Informatics (6 citations), Structural Biology (5 citations), Oncology (58 citations) and Hepatology (12 citations). Sergio Grosu has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Jens Ricke, Stefan Maurus, Thomas Knösel, Michael Ingrisch, Clemens C. Cyran, Anno Graser, Philipp Maximilian Kazmierczak, Philipp Wesp, Christian Schulz and Johannes Rübenthaler. Their work appears in journals such as European Radiology, European Journal of Radiology, Radiology, Scientific Reports and Nutrients.
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.