Daniele Canzio

2.7k citations
17 papers · 1.8k indexed · 1 hit paper · h-index 13
Topics
RNA Research and Splicing (11 papers)Genomics and Chromatin Dynamics (8 papers)RNA and protein synthesis mechanisms (6 papers)

In The Last Decade

Daniele Canzio

16 papers receiving 1.8k citations

Hit Papers

CRISPR Inversion of CTCF Sites Alters Genome Topology and...20152026201820222015200400600

Peers

Daniele Canzio
Comparison fields: 5 of 78
  • Molecular Biology 1.6k
  • Plant Science 366
  • Genetics 160
  • Cancer Research 119
  • Cellular and Molecular Neuroscience 73
Replace Konstantina Skourti-Stathaki with:
Konstantina Skourti-Stathaki United Kingdom
Grace E. Peng United States
Kinga Kamieniarz-Gdula Germany
Akshay Bhinge United States
Thomas A. Ebersole United States
Ignacio E. Schor Argentina
Kent E. Duncan Germany
Tatsuro Takahashi Japan
Hartmut Scheel Germany
Hannah K. Long United Kingdom
Daniele Canzio relative to Konstantina Skourti-Stathaki United Kingdom Konstantina Skourti-Stathaki's profile →
Citations per field
00.5×1.5×
Konstantina Skourti-Stathaki · 1×
Citations per year

Countries citing papers authored by Daniele Canzio

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Canzio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Canzio

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Canzio. A scholar is included among the top collaborators of Daniele Canzio based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniele Canzio. Daniele Canzio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 12
3 2
4 33
5 26
6 75
7 130
8 42
9 57
10 17
11
CRISPR Inversion of CTCF Sites Alters Genome Topology and Enhancer/Promoter Functionbreakdown →
648
12 152
13 119
14 239
15 202
16 11
17 14

About Daniele Canzio

Daniele Canzio is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics, having authored 17 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA Research and Splicing (11 papers), Genomics and Chromatin Dynamics (8 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Plant Science (366 citations) and Cancer Research (119 citations). Daniele Canzio has collaborated with scholars based in United States, France and Colombia. Frequent co-authors include Geeta J. Narlikar, Tom Maniatis, Adam G. Larson, Matthew D. Simon, Robert E. Kingston, Karim‐Jean Armache, Joseph D. Garlick, Hiten D. Madhani, Zhilian Jia and Qiang Wu. Their work appears in journals such as Nature, Science and Cell.

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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