Francesca Zazzeroni

6.5k citations
96 papers · 5.3k indexed · 3 hit papers · h-index 35
Topics
NF-κB Signaling Pathways (23 papers)MicroRNA in disease regulation (13 papers)Immune Response and Inflammation (10 papers)

In The Last Decade

Francesca Zazzeroni

95 papers receiving 5.2k citations

Hit Papers

Induction of gadd45β by NF-κB downregulates pro-apoptotic...2001202620092017200120042020200400600

Peers

Francesca Zazzeroni
Comparison fields: 5 of 130
  • Molecular Biology 3.0k
  • Cancer Research 1.6k
  • Immunology 1.2k
  • Oncology 1.0k
  • Epidemiology 566
Replace Salvatore Papa with:
Salvatore Papa United States
Jean‐Ehrland Ricci France
Concetta Bubici United States
Véronique Baud France
Hiroko Oshima Japan
Asok Mukhopadhyay India
Yukihiro Nishio Japan
Alexander Arlt Germany
Ilan Stein Israel
Roman A. Blaheta Germany
Francesca Zazzeroni relative to Salvatore Papa United States Salvatore Papa's profile →
Citations per field
00.5×2.6×
Salvatore Papa · 1×
Citations per year

Countries citing papers authored by Francesca Zazzeroni

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Zazzeroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Zazzeroni

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Zazzeroni. A scholar is included among the top collaborators of Francesca Zazzeroni 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 Francesca Zazzeroni. Francesca Zazzeroni 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 46
2 9
3 4
4 6
5 11
6 20
7 3
8 3
9 1
10 48
11 3
12 24
13 41
14 17
15 4
16
Ferritin Heavy Chain Upregulation by NF-κB Inhibits TNFα-Induced Apoptosis by Suppressing Reactive Oxygen Speciesbreakdown →
573
17 6
18
Induction of gadd45β by NF-κB downregulates pro-apoptotic JNK signallingbreakdown →
633
19 47
20 6

About Francesca Zazzeroni

Francesca Zazzeroni is a scholar working on Cancer Research, Immunology and Virology, having authored 96 papers that have together received 5.3k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (23 papers), MicroRNA in disease regulation (13 papers) and Immune Response and Inflammation (10 papers). The work is most often cited by research in Cancer Research (1.6k citations), Immunology (1.2k citations) and Molecular Biology (3.0k citations). Francesca Zazzeroni has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Guido Franzoso, Salvatore Papa, Concetta Bubici, Edoardo Alesse, Can G. Pham, Daria Capece, Enrico De Smaele, Daniela Verzella, Rong Cong and Alessandra Tessitore. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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