Ginu Thomas
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 9
- Medical Imaging Techniques and Applications 2
- MRI in cancer diagnosis 2
- Advanced Neuroimaging Techniques and Applications 1
- Genetics 7
- Glioma Diagnosis and Treatment 7
- Co-authors
- Rivka R. Colen (10 shared papers)Pascal O. Zinn (10 shared papers)Markus M. Luedi (7 shared papers)Aikaterini Kotrotsou (6 shared papers)Vasileios G. Kanas (1 shared paper)Vasileios Megalooikonomou (1 shared paper)Evangelia I. Zacharaki (1 shared paper)Islam Hassan (5 shared papers)
- Journals
- Neurosurgery (4 papers)Clinical Cancer Research (1 paper)Scientific Reports (1 paper)Cognitive and Behavioral Practice (1 paper)Computer Methods and Programs in Biomedicine (1 paper)
- Partner nations
- United StatesLebanonSwitzerland
In The Last Decade
Ginu Thomas
13 papers receiving 341 citations
Peers
Comparison fields: 5 of 43
- Genetics 221
- Radiology, Nuclear Medicine and Imaging 264
- Cancer Research 55
- Neurology 27
- Health Informatics 4
Countries citing papers authored by Ginu Thomas
This map shows the geographic impact of Ginu Thomas'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 Ginu Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ginu Thomas more than expected).
Fields of papers citing papers by Ginu Thomas
This network shows the impact of papers produced by Ginu Thomas. 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 Ginu Thomas. The network helps show where Ginu Thomas may publish in the future.
Co-authors
The 25 scholars most cited alongside Ginu Thomas, 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 | 2018 | 80 | |
| 2 | 2016 | 76 | |
| 3 | 2015 | 69 | |
| 4 | 2018 | 33 | |
| 5 | 2017 | 32 | |
| 6 | 2016 | 21 | |
| 7 | 2016 | 15 | |
| 8 | 2016 | 6 | |
| 9 | 2018 | 4 | |
| 10 | 2020 | 2 | |
| 11 | 2020 | 2 | |
| 12 | 2019 | 1 | |
| 13 | 2014 | 1 | |
| 14 | 2020 | 0 | |
| 15 | 2025 | 0 |
About Ginu Thomas
Ginu Thomas is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health and Cancer Research, having authored 15 papers that have together received 342 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), Glioma Diagnosis and Treatment (7 papers), Cancer Genomics and Diagnostics (2 papers), Medical Imaging Techniques and Applications (2 papers), MRI in cancer diagnosis (2 papers), Pediatric Urology and Nephrology Studies (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper) and Meningioma and schwannoma management (1 paper). The work is most often cited by research in Genetics (221 citations), Radiology, Nuclear Medicine and Imaging (264 citations), Cancer Research (55 citations), Neurology (27 citations) and Health Informatics (4 citations). Ginu Thomas has collaborated with scholars based in United States, Lebanon and Switzerland. Frequent co-authors include Rivka R. Colen, Pascal O. Zinn, Markus M. Luedi, Aikaterini Kotrotsou, Vasileios G. Kanas, Vasileios Megalooikonomou, Evangelia I. Zacharaki, Islam Hassan, Ahmed Elakkad and Sanjay K. Singh. Their work appears in journals such as Neurosurgery, Clinical Cancer Research, Scientific Reports, Cognitive and Behavioral Practice and Computer Methods and Programs in Biomedicine.
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.