Long Vu

485 citations
10 papers · 364 · h-index 6

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
    • Human-Animal Interaction Studies
  • Neurology top 10%
    • Barrier Structure and Function Studies

Papers in

Long Vu

10 papers receiving 336 citations

Peers

Long Vu
Comparison fields: 5 of 67
  • Genetics 94
  • Neurology 64
  • Neurology 49
  • Radiology, Nuclear Medicine and Imaging 71
  • Pulmonary and Respiratory Medicine 60
Replace Michele Bresler with:
Michele Bresler United States
Yuanjie Zou China
Ling Weng China
Barbara Bogner Austria
F. Wilmes United States
Joshua Menke United States
Susann Hetze Germany
Isabelle Paré Canada
Susanna M. Grzeschik United States
Long Vu relative to Michele Bresler United States Michele Bresler's profile →
Citations per field
00.5×3.5×
Michele Bresler · 1×
Citations per year

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).

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.

Co-authors

The 25 scholars most cited alongside Long Vu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Long Vu Line = papers co-authored together Long Vu links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1980129
2 198179
3 200544
4
Osmotic blood-brain barrier disruption: a new means of increasing chemotherapeutic agent delivery.
197943
5 201834
6 198424
7 19895
8 20114
9 20181
10 20041

About Long Vu

Long Vu is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Neurology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 10 papers that have together received 364 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (3 papers), MRI in cancer diagnosis (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Spinal Dysraphism and Malformations (1 paper), Liver Disease and Transplantation (1 paper), Neurosurgical Procedures and Complications (1 paper) and Nanoparticle-Based Drug Delivery (1 paper). The work is most often cited by research in Genetics (94 citations), Neurology (64 citations), Neurology (49 citations), Radiology, Nuclear Medicine and Imaging (71 citations) and Pulmonary and Respiratory Medicine (60 citations). Long Vu has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Edward A. Neuwelt, Suellen A. Hill, Eugene P. Frenkel, Stanley I. Rapoport, Jan Carel Diehl, Jan T. Diehl, Laura E. Matarese, Anton N. Hasso, Joseph Thompson and D B Hinshaw. Their work appears in journals such as The American Journal of Gastroenterology, Nutrition in Clinical Practice, Neurosurgery, Annals of Internal Medicine and Neurological Research.

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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