Daniel Vo

693 citations
3 papers · 59 · h-index 3

Impact in

    • Genetic Associations and Epidemiology
    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies
    • Single-cell and spatial transcriptomics
    • Bioinformatics and Genomic Networks
    • RNA regulation and disease

Papers in

    • Epigenetics and DNA Methylation 1
    • Bioinformatics and Genomic Networks 1
    • RNA Research and Splicing 1
    • Single-cell and spatial transcriptomics 1
    • RNA modifications and cancer 1
    • Genetic Associations and Epidemiology 2

Daniel Vo

3 papers receiving 59 citations

Peers

Daniel Vo
Comparison fields: 5 of 19
  • Genetics 17
  • Molecular Biology 36
  • Cancer Research 4
  • Developmental Neuroscience 1
  • Cell Biology 3
Replace Catrin Janetzki with:
Catrin Janetzki Germany
Geoffroy Delplancq France
Tess Tsai-Hsiu Lu United States
Chris Eijsbouts United Kingdom
Benjamin J. Mallory United States
Lisa Pavinato Italy
Daria Rukina Switzerland
Marina Haukness United States
Kenneth E. Diffenderfer United States
Daniel Vo relative to Catrin Janetzki Germany Catrin Janetzki's profile →
Citations per field
00.5×2×4×6.8×
Catrin Janetzki · 1×
Citations per year

Countries citing papers authored by Daniel Vo

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Vo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Daniel 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 Daniel Vo Line = papers co-authored together Daniel Vo links everyone, so they are left out of the graph.

All Works

About Daniel Vo

Daniel Vo is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Organic Chemistry and Surgery, having authored 3 papers that have together received 59 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (2 papers), Epigenetics and DNA Methylation (1 paper), Bioinformatics and Genomic Networks (1 paper), RNA Research and Splicing (1 paper), Single-cell and spatial transcriptomics (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Genetics (17 citations), Molecular Biology (36 citations), Cancer Research (4 citations), Developmental Neuroscience (1 citation) and Cell Biology (3 citations). Daniel Vo has collaborated with scholars based in United States and China. Frequent co-authors include Michael J. Gandal, Minsoo Kim, Connor Jops, Bogdan Paşaniuc, Arjun Bhattacharya, Cindy Wen, Naihua N. Gong, Ashok Patowary, Xinzhou Ge and Luis de la Torre-Ubieta. Their work appears in journals such as Bioinformatics, Nature Genetics and Science.

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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