Yen Hai Vu

22 total papers · 571 total citations
15 papers, 410 citations indexed

About

Yen Hai Vu is a scholar working on Dermatology, Immunology and Allergy and Infectious Diseases. According to data from OpenAlex, Yen Hai Vu has authored 15 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Dermatology, 6 papers in Immunology and Allergy and 3 papers in Infectious Diseases. Recurrent topics in Yen Hai Vu's work include Dermatology and Skin Diseases (8 papers), Allergic Rhinitis and Sensitization (6 papers) and Asthma and respiratory diseases (3 papers). Yen Hai Vu is often cited by papers focused on Dermatology and Skin Diseases (8 papers), Allergic Rhinitis and Sensitization (6 papers) and Asthma and respiratory diseases (3 papers). Yen Hai Vu collaborates with scholars based in Japan, Vietnam and Cambodia. Yen Hai Vu's co-authors include Masutaka Furue, Gaku Tsuji, Takeshi Nakahara, Mai Ngọc Khương, Dugarmaa Ulzii, Makiko Kido‐Nakahara, Masaki Takemura, Akiko Hashimoto‐Hachiya, Kazuhisa Furue and Takamichi Ito and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Yen Hai Vu

12 papers receiving 400 citations

Author Peers

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

Author Last Decade Papers Cites
Yen Hai Vu 239 138 113 93 57 15 410
Xiaoyu Wang 118 0.5× 77 0.6× 84 0.7× 73 0.8× 29 0.5× 27 423
Mingeum Jeong 289 1.2× 171 1.2× 94 0.8× 89 1.0× 60 1.1× 10 425
Takanori Sengoku 231 1.0× 123 0.9× 73 0.6× 68 0.7× 56 1.0× 14 405
James Tarbox 293 1.2× 189 1.4× 107 0.9× 81 0.9× 89 1.6× 20 457
Étienne Saint‐Cyr Proulx 325 1.4× 219 1.6× 113 1.0× 112 1.2× 65 1.1× 15 401
Akiko Takaoka 250 1.0× 140 1.0× 189 1.7× 170 1.8× 88 1.5× 18 486
Randall Li 240 1.0× 185 1.3× 74 0.7× 85 0.9× 42 0.7× 11 367
Bridget Kaufman 367 1.5× 175 1.3× 86 0.8× 77 0.8× 45 0.8× 15 442
Hirokazu Kawasaki 119 0.5× 164 1.2× 159 1.4× 140 1.5× 39 0.7× 15 428
Lyndon Llamado 154 0.6× 120 0.9× 70 0.6× 62 0.7× 101 1.8× 17 375

Countries citing papers authored by Yen Hai Vu

Since Specialization
Citations

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

Fields of papers citing papers by Yen Hai Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yen Hai Vu

This figure shows the co-authorship network connecting the top 25 collaborators of Yen Hai Vu. A scholar is included among the top collaborators of Yen Hai 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 Yen Hai Vu. Yen Hai 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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2026