Daniel P. Barboriak

80 papers and 3.5k indexed citations i.

About

Daniel P. Barboriak is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Neurology. According to data from OpenAlex, Daniel P. Barboriak has authored 80 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Radiology, Nuclear Medicine and Imaging, 29 papers in Genetics and 13 papers in Neurology. Recurrent topics in Daniel P. Barboriak’s work include MRI in cancer diagnosis (30 papers), Glioma Diagnosis and Treatment (28 papers) and Radiomics and Machine Learning in Medical Imaging (23 papers). Daniel P. Barboriak is often cited by papers focused on MRI in cancer diagnosis (30 papers), Glioma Diagnosis and Treatment (28 papers) and Radiomics and Machine Learning in Medical Imaging (23 papers). Daniel P. Barboriak collaborates with scholars based in United States, Switzerland and Germany. Daniel P. Barboriak's co-authors include James M. Provenzale, Srinivasan Mukundan, David M. DeLong, Huiman X. Barnhart, Michael J. Paldino, James R. MacFall, James D. Eastwood, Nancy A. Obuchowski, Daniel C. Sullivan and A. Gregory Sorensen and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Clinical Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Daniel P. Barboriak i

Fields of papers citing papers by Daniel P. Barboriak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Barboriak. 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 P. Barboriak. The network helps show where Daniel P. Barboriak may publish in the future.

Countries citing papers authored by Daniel P. Barboriak

Since Specialization
Citations

This map shows the geographic impact of Daniel P. Barboriak'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 P. Barboriak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel P. Barboriak 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025