Dat T. Vo

907 citations
45 papers · 650 indexed · h-index 14

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Circular RNAs in diseases

Papers in

Dat T. Vo

40 papers receiving 649 citations

Peers

Dat T. Vo
Comparison fields: 5 of 67
  • Cancer Research 295
  • Molecular Biology 447
  • Otorhinolaryngology 28
  • Health Informatics 8
  • Radiation 47
Replace Erik S. Anderson with:
Erik S. Anderson United States
Michael J. Burdick United States
Javíer Santos Spain
Daniela Wuttig Germany
Pia Boström Finland
Ann Christin Parplys Germany
Nancy P. Judd United States
GuoGuang Ying United States
Allison M. Campbell United States
Nancy J. Nesslinger Canada
Dat T. Vo relative to Erik S. Anderson United States Erik S. Anderson's profile →
Citations per field
00.5×4.6×
Erik S. Anderson · 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 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200973
2 201267
3 201163
4 201259
5 201546
6 201943
7 201439
8 201437
9 201637
10 201725
11 202118
12 202313
13 202213
14 202013
15 201412
16 202210
17 20239
18 20229
19 20168
20 20208

About Dat T. Vo

Dat T. Vo is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Cancer Research, Molecular Biology and Otorhinolaryngology, having authored 45 papers that have together received 650 indexed citations. Recurring topics across this work include RNA Research and Splicing (10 papers), Head and Neck Cancer Studies (10 papers), RNA modifications and cancer (9 papers), Cancer-related molecular mechanisms research (6 papers), Advanced Radiotherapy Techniques (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Lung Cancer Diagnosis and Treatment (5 papers) and Brain Metastases and Treatment (4 papers). The work is most often cited by research in Cancer Research (295 citations), Molecular Biology (447 citations), Otorhinolaryngology (28 citations), Health Informatics (8 citations) and Radiation (47 citations). Dat T. Vo has collaborated with scholars based in United States, Brazil and Germany. Frequent co-authors include Luiz O. F. Penalva, Suzanne Perea Burns, Qiao Mei, Andrew D. Smith, Philip J. Uren, Andrew Brenner, Michael D. Story, Raquel de Sousa Abreu, Christine Vogel and Myriam Gorospe. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Scientific Reports, JCO Clinical Cancer Informatics, American Journal Of Pathology and Clinical Cancer Research.

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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