Duc Vu

985 citations
21 papers · 597 · h-index 13

Impact in

Papers in

    • Congenital heart defects research 3
    • Extracellular vesicles in disease 2
    • T-cell and B-cell Immunology 4
    • Immunotherapy and Immune Responses 3

Duc Vu

18 papers receiving 588 citations

Peers

Duc Vu
Comparison fields: 5 of 81
  • Genetics 97
  • Rehabilitation 45
  • Immunology 127
  • Molecular Biology 294
  • Biomaterials 49
Replace Nobunori Takahashi with:
Nobunori Takahashi Japan
Aline Yen Ling Wang Taiwan
Se-Ra Park South Korea
Zhabiz Solhjou United States
David Jones United Kingdom
Bogdan Yatsula United States
Noriko Umegaki Japan
Ferda Alpaslan Pınarlı Türkiye
Liming Yu China
Lynn O’Donnell United States
Duc Vu relative to Nobunori Takahashi Japan Nobunori Takahashi's profile →
Citations per field
00.5×2×2.6×
Nobunori Takahashi · 1×
Citations per year

Countries citing papers authored by Duc Vu

Since Specialization
Citations

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

Fields of papers citing papers by Duc Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Duc 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 Duc Vu Line = papers co-authored together Duc Vu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020131
2 201289
3 201183
4 200743
5 201233
6 201432
7 201131
8 201226
9 200626
10 201325
11 202222
12 202019
13 201218
14 20096
15 20095
16 20084
17 20252
18 20242
19 20240
20 20240

About Duc Vu

Duc Vu is a scholar working on Molecular Biology, Immunology, Surgery, Genetics and Oncology, having authored 21 papers that have together received 597 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Congenital heart defects research (3 papers), Immunotherapy and Immune Responses (3 papers), Mesenchymal stem cell research (3 papers), Platelet Disorders and Treatments (2 papers), Cardiac Ischemia and Reperfusion (2 papers), Chemokine receptors and signaling (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Genetics (97 citations), Rehabilitation (45 citations), Immunology (127 citations), Molecular Biology (294 citations) and Biomaterials (49 citations). Duc Vu has collaborated with scholars based in United States, Vietnam and Germany. Frequent co-authors include Aruni Bhatnagar, Roberto Bolli, Jia‐Qiang He, Atul Chugh, Greg Hunt, Xuan‐Hung Nguyen, Uyen Thi Trang Than, Hoang-Phuong Nguyen, Hue Thi Hong Bui and Liem Nguyen Thanh. Their work appears in journals such as Cancer Gene Therapy, PLoS ONE, Biomedicines, American Journal of Transplantation and Biotechnology and Bioengineering.

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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