Daniel Da Silva

3.0k citations
3 papers · 118 · h-index 3

Impact in

    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • RNA regulation and disease
    • RNA modifications and cancer
    • Genomics and Chromatin Dynamics
    • CRISPR and Genetic Engineering
    • RNA Interference and Gene Delivery
    • Molecular Biology Techniques and Applications

Papers in

    • RNA Research and Splicing 2
    • RNA modifications and cancer 2
    • Molecular Biology Techniques and Applications 1
    • Genomics and Chromatin Dynamics 1
    • Smart Materials for Construction 1

Daniel Da Silva

3 papers receiving 118 citations

Peers

Daniel Da Silva
Comparison fields: 5 of 32
  • Molecular Biology 103
  • Cancer Research 13
  • Structural Biology 1
  • Aging 1
  • Genetics 11
Replace Ruge Zang with:
Ruge Zang China
Laurel A. Brandsmeier United States
Krista Smith United States
Candice J. Coppola United States
Wilbert van Workum Netherlands
Delphine Grün Switzerland
John Hensley United States
Asa Thibodeau United States
Jun-ichi Takeda Japan
Alexandra G. Chivu United States
Daniel Da Silva relative to Ruge Zang China Ruge Zang's profile →
Citations per field
00.5×1.5×
Ruge Zang · 1×
Citations per year

Countries citing papers authored by Daniel Da Silva

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Da Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Daniel Da Silva, 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 Da Silva Line = papers co-authored together Daniel Da Silva links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1 201059
2 201056
3 20123

About Daniel Da Silva

Daniel Da Silva is a scholar working on Molecular Biology, Pollution, Aerospace Engineering, Infectious Diseases and Organic Chemistry, having authored 3 papers that have together received 118 indexed citations. Recurring topics across this work include RNA Research and Splicing (2 papers), RNA modifications and cancer (2 papers), Icing and De-icing Technologies (1 paper), Smart Materials for Construction (1 paper), Aerodynamics and Fluid Dynamics Research (1 paper), Molecular Biology Techniques and Applications (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Molecular Biology (103 citations), Cancer Research (13 citations), Structural Biology (1 citation), Aging (1 citation) and Genetics (11 citations). Daniel Da Silva has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Hélène Dumay‐Odelot, Robert G. Roeder, Martin Teichmann, Valérie Haurie, Christophe Rey, Daniel Besser and Luis Santos. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell Cycle and 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition.

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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