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
- Genetics 7
- Glioma Diagnosis and Treatment 7
-
- Radiomics and Machine Learning in Medical Imaging 6
- MRI in cancer diagnosis 2
- Medical Imaging Techniques and Applications 2
- Co-authors
- Rivka R. Colen (10 shared papers)Pascal O. Zinn (10 shared papers)Markus M. Luedi (7 shared papers)Evangelia I. Zacharaki (1 shared paper)Vasileios G. Kanas (1 shared paper)Vasileios Megalooikonomou (1 shared paper)Aikaterini Kotrotsou (6 shared papers)Ahmed Elakkad (5 shared papers)
- Journals
- Neurosurgery (4 papers)Clinical Cancer Research (1 paper)Computer Methods and Programs in Biomedicine (1 paper)Scientific Reports (1 paper)Journal of Neuro-Oncology (1 paper)
- Partner nations
- United StatesLebanonSwitzerland
In The Last Decade
Ginu Thomas
15 papers receiving 372 citations
Peers
Comparison fields: 5 of 40
- Genetics 212
- Radiology, Nuclear Medicine and Imaging 190
- Neurology 26
- Cancer Research 45
- 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 | 86 | |
| 2 | 2016 | 82 | |
| 3 | 2015 | 74 | |
| 4 | 2017 | 35 | |
| 5 | 2018 | 34 | |
| 6 | 2016 | 21 | |
| 7 | 2016 | 15 | |
| 8 | 2016 | 7 | |
| 9 | 2018 | 4 | |
| 10 | 2012 | 3 | |
| 11 | 2019 | 3 | |
| 12 | 2020 | 3 | |
| 13 | 2015 | 2 | |
| 14 | 2020 | 2 | |
| 15 | 2014 | 2 | |
| 16 | 2020 | 0 |
About Ginu Thomas
Ginu Thomas is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Computer Networks and Communications, Pulmonary and Respiratory Medicine and Surgery, having authored 16 papers that have together received 373 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Wireless Networks and Protocols (2 papers), MRI in cancer diagnosis (2 papers), Cooperative Communication and Network Coding (2 papers), Medical Imaging Techniques and Applications (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper) and Lymphatic Disorders and Treatments (1 paper). The work is most often cited by research in Genetics (212 citations), Radiology, Nuclear Medicine and Imaging (190 citations), Neurology (26 citations), Cancer Research (45 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, Evangelia I. Zacharaki, Vasileios G. Kanas, Vasileios Megalooikonomou, Aikaterini Kotrotsou, Ahmed Elakkad, Islam Hassan and Sanjay K. Singh. Their work appears in journals such as Neurosurgery, Clinical Cancer Research, Computer Methods and Programs in Biomedicine, Scientific Reports and Journal of Neuro-Oncology.
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.