Gianluca Pegoraro

4.0k citations
63 papers · 2.6k indexed · 1 hit paper · h-index 23
Topics
Genomics and Chromatin Dynamics (28 papers)RNA Research and Splicing (20 papers)Cell Image Analysis Techniques (9 papers)
Partner nations
United StatesItalyJapan

In The Last Decade

Gianluca Pegoraro

60 papers receiving 2.6k citations

Hit Papers

Protection against filovirus diseases by a novel broad-sp...20142026201820222014100200300400

Peers

Gianluca Pegoraro
Comparison fields: 5 of 120
  • Molecular Biology 1.9k
  • Infectious Diseases 480
  • Plant Science 329
  • Genetics 249
  • Biophysics 193
Replace Colin Logie with:
Colin Logie Netherlands
Joachim D. Mueller United States
Prasanna R. Kolatkar Singapore
Yingfang Liu China
Esteban A. Roberts United States
Christian Poüs France
Xuehua Xu United States
Christopher T. Eggers United States
Braeden L. Butler United States
Gianluca Pegoraro relative to Colin Logie Netherlands Colin Logie's profile →
Citations per field
00.5×6.9×
Colin Logie · 1×
Citations per year

Countries citing papers authored by Gianluca Pegoraro

Since Specialization
Citations

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

Fields of papers citing papers by Gianluca Pegoraro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianluca Pegoraro

This figure shows the co-authorship network connecting the top 25 collaborators of Gianluca Pegoraro. A scholar is included among the top collaborators of Gianluca Pegoraro 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 Gianluca Pegoraro. Gianluca Pegoraro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 4
5 0
6 1
7 8
8 3
9 5
10 30
11 89
12 13
13 34
14 31
15 22
16 24
17 41
18 57
19 17
20 216

About Gianluca Pegoraro

Gianluca Pegoraro is a scholar working on Biophysics, Structural Biology and Molecular Biology, having authored 63 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (28 papers), RNA Research and Splicing (20 papers) and Cell Image Analysis Techniques (9 papers). The work is most often cited by research in Biophysics (193 citations), Molecular Biology (1.9k citations) and Infectious Diseases (480 citations). Gianluca Pegoraro has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Tom Misteli, Sigal Shachar, Elizabeth H. Finn, Leonid A. Mirny, Anne-Laure Valton, Nard Kubben, Hugo B. Brandão, Job Dekker, Marlies E. Oomen and Sina Bavari. Their work appears in journals such as Nature, Cell and Nucleic Acids 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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