Silvia Bonaccorsi

4.2k citations
72 papers · 3.3k indexed · h-index 29
Topics
Microtubule and mitosis dynamics (34 papers)Chromosomal and Genetic Variations (28 papers)Genomics and Chromatin Dynamics (19 papers)
Partner nations
ItalyUnited StatesRussia

In The Last Decade

Silvia Bonaccorsi

71 papers receiving 3.3k citations

Peers

Silvia Bonaccorsi
Comparison fields: 5 of 94
  • Molecular Biology 2.6k
  • Cell Biology 1.6k
  • Plant Science 1.2k
  • Genetics 628
  • Cellular and Molecular Neuroscience 170
Replace Maurizio Gatti with:
Maurizio Gatti Italy
Mark Petronczki Austria
Kim S. McKim United States
Francis J. McNally United States
Mary A. Lilly United States
Cayetano González Spain
Michael Buszczak United States
Wu‐Min Deng United States
Daniel A. Starr United States
Jeff Sekelsky United States
Silvia Bonaccorsi relative to Maurizio Gatti Italy Maurizio Gatti's profile →
Citations per field
00.5×1.5×
Maurizio Gatti · 1×
Citations per year

Countries citing papers authored by Silvia Bonaccorsi

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Bonaccorsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Bonaccorsi

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Bonaccorsi. A scholar is included among the top collaborators of Silvia Bonaccorsi 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 Silvia Bonaccorsi. Silvia Bonaccorsi 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 9
2 19
3 20
4 6
5 15
6 14
7 5
8 61
9 21
10 18
11 11
12 16
13 66
14 114
15 64
16 91
17 92
18 52
19 94
20 47

About Silvia Bonaccorsi

Silvia Bonaccorsi is a scholar working on Aging, Cell Biology and Plant Science, having authored 72 papers that have together received 3.3k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (34 papers), Chromosomal and Genetic Variations (28 papers) and Genomics and Chromatin Dynamics (19 papers). The work is most often cited by research in Cell Biology (1.6k citations), Aging (163 citations) and Molecular Biology (2.6k citations). Silvia Bonaccorsi has collaborated with scholars based in Italy, United States and Russia. Frequent co-authors include Maurizio Gatti, Maria Grazia Giansanti, Sergio Pimpinelli, Michael L. Goldberg, Claudio Pisano, Allan R. Lohe, Kristin C. Gunsalus, Fiammetta Vernı̀, Giovanni Cenci and James G. Wakefield. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Genes & Development.

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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