Long Vu

10 papers and 354 indexed citations i.

About

Long Vu is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Surgery. According to data from OpenAlex, Long Vu has authored 10 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Genetics and 2 papers in Surgery. Recurrent topics in Long Vu’s work include Glioma Diagnosis and Treatment (3 papers), MRI in cancer diagnosis (2 papers) and Spinal Fractures and Fixation Techniques (2 papers). Long Vu is often cited by papers focused on Glioma Diagnosis and Treatment (3 papers), MRI in cancer diagnosis (2 papers) and Spinal Fractures and Fixation Techniques (2 papers). Long Vu collaborates with scholars based in United States, Italy and China. Long Vu's co-authors include Edward A. Neuwelt, Suellen A. Hill, Eugene P. Frenkel, Stanley I. Rapoport, Jan Carel Diehl, Jan T. Diehl, Laura E. Matarese, Joseph Thompson, Anton N. Hasso and Christian Bracco and has published in prestigious journals such as Annals of Internal Medicine, Radiology and The American Journal of Gastroenterology.

In The Last Decade

Co-authorship network of co-authors of Long Vu i

Fields of papers citing papers by Long Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Long Vu. 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 Long Vu. The network helps show where Long Vu may publish in the future.

Countries citing papers authored by Long Vu

Since Specialization
Citations

This map shows the geographic impact of Long Vu'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 Long Vu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Vu 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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2025