Vivian Vu

49 total papers · 1.6k total citations
32 papers, 1.1k citations indexed

About

Vivian Vu is a scholar working on Epidemiology, Physiology and Immunology. According to data from OpenAlex, Vivian Vu has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 9 papers in Physiology and 9 papers in Immunology. Recurrent topics in Vivian Vu's work include Adipokines, Inflammation, and Metabolic Diseases (11 papers), Adipose Tissue and Metabolism (8 papers) and Immune Cell Function and Interaction (5 papers). Vivian Vu is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (11 papers), Adipose Tissue and Metabolism (8 papers) and Immune Cell Function and Interaction (5 papers). Vivian Vu collaborates with scholars based in Canada, United States and Switzerland. Vivian Vu's co-authors include Gary Sweeney, Ying Liu, Dmitri Simberg, Guankui Wang, Robert I. Scheinman, Ernest Groman, Michael C. Riddell, Aimin Xu, S. Moein Moghimi and Laura Saba and has published in prestigious journals such as ACS Nano, Nature Nanotechnology and Biomaterials.

In The Last Decade

Vivian Vu

31 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Vivian Vu 344 318 306 302 176 32 1.1k
Yuefei Shen 526 1.5× 411 1.3× 348 1.1× 311 1.0× 88 0.5× 19 1.3k
Susana Coimbra 209 0.6× 258 0.8× 235 0.8× 574 1.9× 58 0.3× 58 1.4k
Siyuan Tang 303 0.9× 203 0.6× 717 2.3× 133 0.4× 82 0.5× 43 1.4k
Tianshi Feng 372 1.1× 384 1.2× 455 1.5× 144 0.5× 73 0.4× 19 1.1k
Elena Butoi 250 0.7× 131 0.4× 397 1.3× 433 1.4× 108 0.6× 49 1.3k
Stephen F. Rodrigues 120 0.3× 148 0.5× 352 1.2× 175 0.6× 91 0.5× 38 1.2k
Cindy Strehl 161 0.5× 114 0.4× 344 1.1× 349 1.2× 76 0.4× 36 1.3k
Juan Cheng 165 0.5× 160 0.5× 335 1.1× 365 1.2× 104 0.6× 48 1.2k
Lê Thị Thanh Thủy 323 0.9× 165 0.5× 425 1.4× 82 0.3× 84 0.5× 64 1.2k
Tao Wang 235 0.7× 80 0.3× 360 1.2× 176 0.6× 339 1.9× 31 1.2k

Countries citing papers authored by Vivian Vu

Since Specialization
Citations

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

Fields of papers citing papers by Vivian Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vivian Vu

This figure shows the co-authorship network connecting the top 25 collaborators of Vivian Vu. A scholar is included among the top collaborators of Vivian 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 Vivian Vu. Vivian Vu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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