Gabriel Gruionu
- Health Informatics top 10%
- Biophysics top 10%
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- Pancreatic and Hepatic Oncology Research 6
- Colorectal Cancer Screening and Detection 4
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- Radiomics and Machine Learning in Medical Imaging 5
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- Lung Cancer Diagnosis and Treatment 7
- Gastric Cancer Management and Outcomes 5
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- Angiogenesis and VEGF in Cancer 7
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- 3D Printing in Biomedical Research 4
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- Nitric Oxide and Endothelin Effects 3
- Co-authors
- Lucian Gheorghe GruionuJames B. HoyingAdrian SăftoiuStuart K. WilliamsBenjamin R. ShepherdCynthia M. SmithȘtefan UdriștoiuTimothy W. Secomb
- Partner nations
- United StatesRomaniaDenmark
In The Last Decade
Gabriel Gruionu
48 papers receiving 554 citations
Peers
Comparison fields: 5 of 85
- Health Informatics 16
- Biophysics 39
- Biomaterials 77
- Oncology 144
- Radiology, Nuclear Medicine and Imaging 109
Countries citing papers authored by Gabriel Gruionu
This map shows the geographic impact of Gabriel Gruionu'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 Gabriel Gruionu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel Gruionu more than expected).
Fields of papers citing papers by Gabriel Gruionu
This network shows the impact of papers produced by Gabriel Gruionu. 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 Gabriel Gruionu. The network helps show where Gabriel Gruionu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gabriel Gruionu, 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 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2021 | 1 | |
| 7 | 2021 | 25 | |
| 8 | 2021 | 20 | |
| 9 | 2021 | 44 | |
| 10 | 2020 | 30 | |
| 11 | 2017 | 9 | |
| 12 | 2017 | 19 | |
| 13 | 2016 | 49 | |
| 14 | 2016 | 9 | |
| 15 | 2014 | 7 | |
| 16 | 2010 | 23 | |
| 17 | 2009 | 1 | |
| 18 | 2004 | 26 | |
| 19 | A hemodynamic study of the arteriolar arcades in the swine triceps brachii muscle | 2001 | 1 |
| 20 | 2000 | 3 |
About Gabriel Gruionu
Gabriel Gruionu is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Hepatology, having authored 50 papers that have together received 586 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (7 papers), Angiogenesis and VEGF in Cancer (7 papers), Pancreatic and Hepatic Oncology Research (6 papers), Gastric Cancer Management and Outcomes (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Colorectal Cancer Screening and Detection (4 papers), 3D Printing in Biomedical Research (4 papers) and Nitric Oxide and Endothelin Effects (3 papers). The work is most often cited by research in Health Informatics (16 citations), Biophysics (39 citations) and Biomaterials (77 citations). Gabriel Gruionu has collaborated with scholars based in United States, Romania and Denmark. Frequent co-authors include Lucian Gheorghe Gruionu, James B. Hoying, Adrian Săftoiu, Stuart K. Williams, Benjamin R. Shepherd, Cynthia M. Smith, Ștefan Udriștoiu, Timothy W. Secomb, Axel R. Pries and Costin Teodor Streba. Their work appears in journals such as Gastroenterology, PLoS ONE and Scientific Reports.
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.