L. Faggioli

425 citations
18 papers · 379 indexed · h-index 11
Topics
Cytokine Signaling Pathways and Interactions (6 papers)NF-κB Signaling Pathways (5 papers)Immune Response and Inflammation (4 papers)
Partner nations
ItalyFranceGermany

In The Last Decade

L. Faggioli

15 papers receiving 368 citations

Peers

L. Faggioli
Comparison fields: 5 of 61
  • Molecular Biology 189
  • Immunology 128
  • Oncology 112
  • Cancer Research 80
  • Epidemiology 49
Replace Noreen L. Connolly with:
Noreen L. Connolly United States
Cornelia Escher Germany
Adrianne N. Hanks United States
Suk Hyung Lee South Korea
Mahvash Sigaroudinia United States
L A Turka United States
T L Moore United States
C Román United States
Marie Thérèse Auffredou France
Simone Orlando Italy
L. Faggioli relative to Noreen L. Connolly United States Noreen L. Connolly's profile →
Citations per field
00.5×10×14×
Noreen L. Connolly · 1×
Citations per year

Countries citing papers authored by L. Faggioli

Since Specialization
Citations

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

Fields of papers citing papers by L. Faggioli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Faggioli

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 1
2 48
3 18
4 91
5 4
6 4
7 32
8
[gamma-Aminobutyric acid (GABA) and gamma-amino-beta-hydroxybutyric acid (GABOB) in the perspective of biological anti-epilepsy therapy].
0
9 16
10 62
11 27
12 13
13 25
14
[The condition of steroid hormone receptors in rats, after acute treatment with tamoxifen].
0
15 13
16 19
17
[Bilateral occlusion of the internal carotid artery. (Apropos of 3 cases)].
3
18 3

About L. Faggioli

L. Faggioli is a scholar working on Immunology, Cancer Research and Oncology, having authored 18 papers that have together received 379 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (6 papers), NF-κB Signaling Pathways (5 papers) and Immune Response and Inflammation (4 papers). The work is most often cited by research in Immunology (128 citations), Cancer Research (80 citations) and Oncology (112 citations). L. Faggioli has collaborated with scholars based in Italy, France and Germany. Frequent co-authors include Marta Palmieri, Marcello Merola, Chiara Costanzo, Adriana Furia, Michaël G. Tovey, Maria Teresa Scupoli, Patrick S. Moore, Massimo Donadelli, Claudio Bassi and Aldo Scarpa. Their work appears in journals such as Nucleic Acids Research, Biochemical and Biophysical Research Communications and European Journal of Biochemistry.

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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