Daniel Visentin

3.9k citations
2 papers · 489 · 1 hit paper · h-index 2

Impact in

    • Genomics and Chromatin Dynamics
    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies
    • Machine Learning in Bioinformatics
    • RNA Research and Splicing
    • Gene expression and cancer classification
    • Bioinformatics and Genomic Networks
    • Single-cell and spatial transcriptomics

Papers in

    • Genomics and Phylogenetic Studies 1
    • DNA and Nucleic Acid Chemistry 1
    • DNA Repair Mechanisms 1
    • Genomics and Chromatin Dynamics 1
    • RNA and protein synthesis mechanisms 1
    • Trace Elements in Health 1

Daniel Visentin

2 papers receiving 483 citations

Daniel Visentin's Hit Papers

Effective gene expression prediction from sequence by integrating long-range interactions 2021 · 486 citations
4860+1+3Years since publication100200300400

Peers

Daniel Visentin
Comparison fields: 5 of 59
  • Molecular Biology 408
  • Health Informatics 6
  • Biophysics 19
  • Genetics 91
  • Cancer Research 37
Replace Charles E. McAnany with:
Charles E. McAnany United States
Jiecong Lin Hong Kong
Zhihan Zhou China
Wanwen Zeng China
Zhi Yan United States
Sheng Qu China
Matthew Ruffalo United States
Jifang Yan China
Paul Brazhnik United States
Daniel Visentin relative to Charles E. McAnany United States Charles E. McAnany's profile →
Citations per field
00.5×1.5×2.4×
Charles E. McAnany · 1×
Citations per year

Countries citing papers authored by Daniel Visentin

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Visentin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Daniel Visentin, 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 Visentin Line = papers co-authored together Daniel Visentin links everyone, so they are left out of the graph.

All Works

2 of 2 papers shown

About Daniel Visentin

Daniel Visentin is a scholar working on Molecular Biology, Nutrition and Dietetics, Infectious Diseases, Organic Chemistry and Surgery, having authored 2 papers that have together received 489 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (1 paper), DNA and Nucleic Acid Chemistry (1 paper), Trace Elements in Health (1 paper), DNA Repair Mechanisms (1 paper), Genomics and Chromatin Dynamics (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Molecular Biology (408 citations), Health Informatics (6 citations), Biophysics (19 citations), Genetics (91 citations) and Cancer Research (37 citations). Daniel Visentin has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Kyle R. Taylor, Joseph R. Ledsam, David R. Kelley, Yannis Assael, John Jumper, Žiga Avsec, Vikram Agarwal, Agnieszka Grabska‐Barwińska, Pushmeet Kohli and Calvin B. Harley. Their work appears in journals such as Biochemistry and Nature Methods.

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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