Daniel Thomas Ginat

185 papers and 2.7k indexed citations i.

About

Daniel Thomas Ginat is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Otorhinolaryngology. According to data from OpenAlex, Daniel Thomas Ginat has authored 185 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Surgery, 37 papers in Radiology, Nuclear Medicine and Imaging and 32 papers in Otorhinolaryngology. Recurrent topics in Daniel Thomas Ginat’s work include Head and Neck Surgical Oncology (22 papers), Head and Neck Cancer Studies (19 papers) and Radiomics and Machine Learning in Medical Imaging (18 papers). Daniel Thomas Ginat is often cited by papers focused on Head and Neck Surgical Oncology (22 papers), Head and Neck Cancer Studies (19 papers) and Radiomics and Machine Learning in Medical Imaging (18 papers). Daniel Thomas Ginat collaborates with scholars based in United States, Germany and Singapore. Daniel Thomas Ginat's co-authors include Wael E. Saad, Gul Moonis, Steven P. Meyers, Vikram S. Dogra, Rajiv Gupta, Shweta Bhatt, Rajiv Mangla, Charles J. Schatz, Gabrielle Yeaney and Amy F. Juliano and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Neurology.

In The Last Decade

Co-authorship network of co-authors of Daniel Thomas Ginat i

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Fields of papers citing papers by Daniel Thomas Ginat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Daniel Thomas Ginat

Since Specialization

Citations

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).

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.

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