Annamaria Bevilacqua

1.3k citations
29 papers · 1.1k indexed · h-index 18
Topics
RNA Research and Splicing (8 papers)RNA and protein synthesis mechanisms (6 papers)RNA Interference and Gene Delivery (5 papers)

In The Last Decade

Annamaria Bevilacqua

29 papers receiving 1.0k citations

Peers

Annamaria Bevilacqua
Comparison fields: 5 of 90
  • Molecular Biology 798
  • Cancer Research 157
  • Oncology 134
  • Immunology 109
  • Endocrine and Autonomic Systems 60
Replace Masato Takimoto with:
Masato Takimoto Japan
Weihai He United States
Mireille Vasseur-Cognet France
Juan Luo China
Qiyin Zhou China
Kristoffer Vitting‐Seerup Denmark
Miguel Ararat United States
Saori Furuta United States
Laura Breen Ireland
Kirsty F. MacKenzie United Kingdom
Annamaria Bevilacqua relative to Masato Takimoto Japan Masato Takimoto's profile →
Citations per field
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Citations per year

Countries citing papers authored by Annamaria Bevilacqua

Since Specialization
Citations

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

Fields of papers citing papers by Annamaria Bevilacqua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annamaria Bevilacqua

This figure shows the co-authorship network connecting the top 25 collaborators of Annamaria Bevilacqua. A scholar is included among the top collaborators of Annamaria Bevilacqua 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 Annamaria Bevilacqua. Annamaria Bevilacqua 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 20
2 31
3 23
4 22
5 11
6 4
7 21
8 6
9 3
10 118
11
Inhibition of tumor cell proliferation by linear polyunsaturated aldehydes
1
12 16
13 90
14 19
15 45
16 4
17 29
18 26
19
Use of antisense RNA to study gene expression in the mammalian preimplantation embryo
1
20 14

About Annamaria Bevilacqua

Annamaria Bevilacqua is a scholar working on Endocrine and Autonomic Systems, Molecular Biology and Cancer Research, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), RNA and protein synthesis mechanisms (6 papers) and RNA Interference and Gene Delivery (5 papers). The work is most often cited by research in Molecular Biology (798 citations), Cancer Research (157 citations) and Endocrine and Autonomic Systems (60 citations). Annamaria Bevilacqua has collaborated with scholars based in Italy, United States and Czechia. Frequent co-authors include A Nicolin, S. Capaccioli, Angela Calastretti, Gianfranco Canti, G. Gatti, Martino Donnini, Nicola Schiavone, Andrea Lapucci, Alessandro Quattrone and Domenico Delia. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Cancer.

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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