Dat T. Vo

41 papers receiving 687 citations

Peers

Dat T. Vo
Comparison fields: 5 of 62
  • Cancer Research 264
  • Otorhinolaryngology 29
  • Health Informatics 10
  • Molecular Biology 413
  • Genetics 37
Replace Javíer Santos with:
Javíer Santos Spain
Ann Christin Parplys Germany
Daniela Wuttig Germany
Zongtai Qi United States
Nigel Zhang United States
Gregory A. Bird United States
Émilie Louvet France
Benio Tsuchiya Japan
Elisa Napolitano Ferreira Brazil
Aditi Mehta India
Dat T. Vo relative to Javíer Santos Spain Javíer Santos's profile →
Citations per field
00.5×2×3×4.4×
Javíer Santos · 1×
Citations per year

Countries citing papers authored by Dat T. Vo

Since Specialization
Citations

This map shows the geographic impact of Dat T. Vo'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 Dat T. Vo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dat T. Vo more than expected).

Fields of papers citing papers by Dat T. Vo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dat T. Vo. 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 Dat T. Vo. The network helps show where Dat T. Vo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200973
2 201268
3 201165
4 201260
5 201547
6 201944
7 201441
8 201439
9 201637
10 201727
11 202120
12 202319
13 202014
14 202213
15 201412
16 202211
17 202210
18 202310
19 202210
20 201610

About Dat T. Vo

Dat T. Vo is a scholar working on Otorhinolaryngology, Cancer Research, Health Informatics, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 46 papers that have together received 689 indexed citations. Recurring topics across this work include RNA Research and Splicing (10 papers), RNA modifications and cancer (9 papers), Head and Neck Cancer Studies (8 papers), Cancer-related molecular mechanisms research (6 papers), Artificial Intelligence in Healthcare and Education (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), RNA and protein synthesis mechanisms (4 papers) and Lung Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Cancer Research (264 citations), Otorhinolaryngology (29 citations), Health Informatics (10 citations), Molecular Biology (413 citations) and Genetics (37 citations). Dat T. Vo has collaborated with scholars based in United States, Vietnam and United Kingdom. Frequent co-authors include Luiz O. F. Penalva, Suzanne Perea Burns, Andrew D. Smith, Philip J. Uren, Michael D. Story, Andrew Jacob Brenner, Raquel de Sousa Abreu, Christine Vogel, Myriam Gorospe and Kotb Abdelmohsen. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Practical Radiation Oncology, American Journal Of Pathology, JCO Clinical Cancer Informatics and BMC Gastroenterology.

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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