Daniel Thomas Ginat
Impact in
- Otorhinolaryngology top 0.5%
- Head and Neck Cancer Studies
- Health Informatics top 2%
Papers in
- Surgery 90
- Head and Neck Surgical Oncology 22
- Salivary Gland Tumors Diagnosis and Treatment 15
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- Radiomics and Machine Learning in Medical Imaging 19
- Co-authors
- Wael E. Saad (11 shared papers)Gul Moonis (10 shared papers)Rajiv Gupta (2 shared papers)Steven P. Meyers (1 shared paper)Vikram S. Dogra (7 shared papers)Shweta Bhatt (5 shared papers)Charles J. Schatz (5 shared papers)Rajiv Mangla (5 shared papers)
- Journals
- Head and Neck Pathology (13 papers)American Journal of Roentgenology (8 papers)American Journal of Neuroradiology (8 papers)Neuroimaging Clinics of North America (8 papers)Radiology (6 papers)
- Partner nations
- United StatesGermanySingapore
In The Last Decade
Daniel Thomas Ginat
180 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 130
- Otorhinolaryngology 497
- Health Informatics 57
- Radiology, Nuclear Medicine and Imaging 707
- Neurology 454
- Genetics 298
Countries citing papers authored by Daniel Thomas Ginat
This map shows the geographic impact of Daniel Thomas Ginat'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 Daniel Thomas Ginat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Thomas Ginat more than expected).
Fields of papers citing papers by Daniel Thomas Ginat
This network shows the impact of papers produced by Daniel Thomas Ginat. 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 Daniel Thomas Ginat. The network helps show where Daniel Thomas Ginat may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Thomas Ginat, 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 191 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 149 | |
| 2 | 2011 | 132 | |
| 3 | 2012 | 110 | |
| 4 | 2014 | 106 | |
| 5 | 2009 | 86 | |
| 6 | 2012 | 82 | |
| 7 | 2019 | 79 | |
| 8 | 2013 | 79 | |
| 9 | 2009 | 78 | |
| 10 | 2019 | 75 | |
| 11 | 2016 | 69 | |
| 12 | 2011 | 62 | |
| 13 | 2015 | 57 | |
| 14 | 2012 | 55 | |
| 15 | 2010 | 46 | |
| 16 | 2007 | 44 | |
| 17 | 2008 | 44 | |
| 18 | 2015 | 43 | |
| 19 | 2017 | 43 | |
| 20 | 2013 | 41 |
About Daniel Thomas Ginat
Daniel Thomas Ginat is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology, Pulmonary and Respiratory Medicine and Neurology, having authored 191 papers that have together received 3.0k indexed citations. Recurring topics across this work include Head and Neck Surgical Oncology (22 papers), Head and Neck Cancer Studies (21 papers), Radiomics and Machine Learning in Medical Imaging (19 papers), Meningioma and schwannoma management (15 papers), Salivary Gland Tumors Diagnosis and Treatment (15 papers), Glioma Diagnosis and Treatment (11 papers), Advanced X-ray and CT Imaging (9 papers) and Tumors and Oncological Cases (9 papers). The work is most often cited by research in Otorhinolaryngology (497 citations), Health Informatics (57 citations), Radiology, Nuclear Medicine and Imaging (707 citations), Neurology (454 citations) and Genetics (298 citations). Daniel Thomas Ginat has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include Wael E. Saad, Gul Moonis, Rajiv Gupta, Steven P. Meyers, Vikram S. Dogra, Shweta Bhatt, Charles J. Schatz, Rajiv Mangla, Amy F. Juliano and Gabrielle Yeaney. Their work appears in journals such as Head and Neck Pathology, American Journal of Roentgenology, American Journal of Neuroradiology, Neuroimaging Clinics of North America and Radiology.
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.