Mai Vu

417 total citations
13 papers, 346 citations indexed

About

Mai Vu is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mai Vu has authored 13 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mai Vu's work include Lipid Membrane Structure and Behavior (4 papers), Erythrocyte Function and Pathophysiology (3 papers) and Lipoproteins and Cardiovascular Health (2 papers). Mai Vu is often cited by papers focused on Lipid Membrane Structure and Behavior (4 papers), Erythrocyte Function and Pathophysiology (3 papers) and Lipoproteins and Cardiovascular Health (2 papers). Mai Vu collaborates with scholars based in United States, Sweden and Finland. Mai Vu's co-authors include Randall H. Kramer, John D. Bell, C. Bradley Hare, Carl Grünfeld, Harry Lampiris, Dixon J. Woodbury, Allan M. Judd, N. K. Burgess, Marjaana Koponen and Heidi Taipale and has published in prestigious journals such as Journal of Biological Chemistry, Clinical Infectious Diseases and Langmuir.

In The Last Decade

Mai Vu

13 papers receiving 340 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mai Vu United States 6 164 96 53 48 45 13 346
Igor Pechik United States 12 206 1.3× 63 0.7× 138 2.6× 73 1.5× 22 0.5× 19 597
Stefanie Sommer Germany 13 477 2.9× 11 0.1× 28 0.5× 40 0.8× 34 0.8× 21 685
Mark E. Lesch United States 12 200 1.2× 50 0.5× 12 0.2× 39 0.8× 124 2.8× 17 544
Ernest C. Adams United States 9 254 1.5× 21 0.2× 50 0.9× 47 1.0× 50 1.1× 15 564
Weiming Ruan United States 11 296 1.8× 21 0.2× 16 0.3× 36 0.8× 45 1.0× 13 696
Martha Aiken United States 10 120 0.7× 39 0.4× 23 0.4× 35 0.7× 77 1.7× 11 398
Alicia J. Little United States 10 146 0.9× 10 0.1× 29 0.5× 8 0.2× 206 4.6× 24 505
Shigetoshi Yamada Japan 15 97 0.6× 35 0.4× 35 0.7× 22 0.5× 59 1.3× 59 517
Stephen King United States 14 70 0.4× 27 0.3× 33 0.6× 160 3.3× 25 0.6× 29 458
R L Nagel United States 21 233 1.4× 17 0.2× 167 3.2× 563 11.7× 73 1.6× 30 1.2k

Countries citing papers authored by Mai Vu

Since Specialization
Citations

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

Fields of papers citing papers by Mai Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mai Vu

This figure shows the co-authorship network connecting the top 25 collaborators of Mai Vu. A scholar is included among the top collaborators of Mai Vu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mai Vu. Mai Vu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Vu, Mai, et al.. (2024). Preventing Static Biofilm Formation of Staphylococcus aureus on Different Types of Surfaces Using Microbubbles. Langmuir. 40(3). 1698–1706. 5 indexed citations
2.
Vu, Mai, Raimo Kettunen, Anna‐Maija Tolppanen, Sirpa Hartikainen, & Heidi Taipale. (2022). Statin discontinuation in persons with and without Alzheimer’s disease. European Journal of Clinical Pharmacology. 78(7). 1145–1153. 2 indexed citations
3.
Vu, Mai, Marjaana Koponen, Heidi Taipale, et al.. (2022). Prevalence of oral anticoagulant use among people with and without Alzheimer’s disease. BMC Geriatrics. 22(1). 464–464. 5 indexed citations
4.
Vu, Mai, Marjaana Koponen, Heidi Taipale, et al.. (2021). Coronary Revascularization and Postoperative Outcomes in People With and Without Alzheimer’s Disease. The Journals of Gerontology Series A. 76(8). 1524–1530. 3 indexed citations
5.
Vu, Mai, Marjaana Koponen, Heidi Taipale, et al.. (2019). Prevalence of cardiovascular drug use before and after diagnosis of Alzheimer's disease. International Journal of Cardiology. 300. 221–225. 4 indexed citations
6.
Vu, Mai, et al.. (2018). A rare case of pseudomonas meningitis following intrathecal baclofen pump placement in a 28-year-old paraplegic patient. Interdisciplinary Neurosurgery. 13. 82–84. 2 indexed citations
8.
Vu, Mai, et al.. (2008). Use of fluorescence to determine the effects of cholesterol on lipid behavior in sphingomyelin liposomes and erythrocyte membranes. Journal of Lipid Research. 49(6). 1202–1215. 56 indexed citations
11.
Burgess, N. K., et al.. (2005). Mechanisms Governing the Level of Susceptibility of Erythrocyte Membranes to Secretory Phospholipase A2. Biophysical Journal. 88(4). 2692–2705. 29 indexed citations
12.
Hare, C. Bradley, Mai Vu, Carl Grünfeld, & Harry Lampiris. (2002). Simvastatin‐Nelfinavir Interaction Implicated in Rhabdomyolysis and Death. Clinical Infectious Diseases. 35(10). e111–e112. 64 indexed citations
13.
Kramer, Randall H., et al.. (1989). Human melanoma cells express a novel integrin receptor for laminin. Journal of Biological Chemistry. 264(26). 15642–15649. 101 indexed citations

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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