Giancarlo Bonora

3.1k total citations · 1 hit paper
34 papers, 2.0k citations indexed

About

Giancarlo Bonora is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Giancarlo Bonora has authored 34 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 9 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in Giancarlo Bonora's work include Genomics and Chromatin Dynamics (16 papers), Epigenetics and DNA Methylation (12 papers) and CRISPR and Genetic Engineering (9 papers). Giancarlo Bonora is often cited by papers focused on Genomics and Chromatin Dynamics (16 papers), Epigenetics and DNA Methylation (12 papers) and CRISPR and Genetic Engineering (9 papers). Giancarlo Bonora collaborates with scholars based in United States, Australia and United Kingdom. Giancarlo Bonora's co-authors include Kathrin Plath, Constantinos Chronis, Matteo Pellegrini, Jason Ernst, Shan Sabri, Bernadett Papp, Stefan Butz, Petko Fiziev, Matthew Denholtz and Sanjeet Patel and has published in prestigious journals such as Cell, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Giancarlo Bonora

30 papers receiving 2.0k citations

Hit Papers

Cooperative Binding of Transcription Factors Orchestrates... 2017 2026 2020 2023 2017 100 200 300

Peers

Giancarlo Bonora
Comparison fields: 5 of 90
  • Molecular Biology 1.9k
  • Genetics 421
  • Plant Science 281
  • Cancer Research 176
  • Immunology 68
Replace Miguel Casanova with:
Miguel Casanova United Kingdom
Ichiro Hiratani Japan
Raymond A. Poot Netherlands
Pablo Navarro France
Sonia Verp Switzerland
Suhani Vora United States
Yidi Sun China
Nicola Festuccia France
David Scalzo United States
Quan Ho United States
Miguel Casanova United Kingdom View profile →
Citations per field, relative to Giancarlo Bonora
Giancarlo Bonora · 1×
Citations per year, relative to Giancarlo Bonora
Giancarlo Bonora · 1×

Countries citing papers authored by Giancarlo Bonora

Since Specialization
Citations

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

Fields of papers citing papers by Giancarlo Bonora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giancarlo Bonora

This figure shows the co-authorship network connecting the top 25 collaborators of Giancarlo Bonora. A scholar is included among the top collaborators of Giancarlo Bonora 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 Giancarlo Bonora. Giancarlo Bonora 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
# Work Indexed citations
1 0
2 0
3 0
4 8
5 0
6 4
7 16
8 42
9 57
10 89
11 50
12 32
13 20
14
Cooperative Binding of Transcription Factors Orchestrates Reprogramming breakdown →
375
15 16
16 163
17 35
18 172
19 204
20 60

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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