Federica Liotti

1.6k citations
43 papers · 1.2k indexed · h-index 18
Topics
S100 Proteins and Annexins (7 papers)Inflammatory mediators and NSAID effects (6 papers)Glutathione Transferases and Polymorphisms (5 papers)
Partner nations
ItalyRussiaJapan

In The Last Decade

Federica Liotti

41 papers receiving 1.2k citations

Peers

Federica Liotti
Comparison fields: 5 of 93
  • Molecular Biology 526
  • Immunology 496
  • Oncology 377
  • Endocrinology, Diabetes and Metabolism 198
  • Cancer Research 193
Replace Jae Mi Suh with:
Jae Mi Suh South Korea
Narender Nath United States
Michael N. VanSaun United States
M Witt Germany
Keyvan Mahboubi United States
Caishu Deng United States
Trevor R. Walker United Kingdom
Pierre‐Alain Vitte United States
Yuko Takeba Japan
Yuyan Han United States
Federica Liotti relative to Jae Mi Suh South Korea Jae Mi Suh's profile →
Citations per field
00.5×11.6×
Jae Mi Suh · 1×
Citations per year

Countries citing papers authored by Federica Liotti

Since Specialization
Citations

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

Fields of papers citing papers by Federica Liotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federica Liotti

This figure shows the co-authorship network connecting the top 25 collaborators of Federica Liotti. A scholar is included among the top collaborators of Federica Liotti 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 Federica Liotti. Federica Liotti 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 2
2 1
3 0
4 5
5 17
6 17
7 18
8 27
9 14
10 34
11 20
12 92
13 181
14 76
15
[Obstructive sleep apnoea syndrome (OSAS) and mood disorders in a population of public transport drivers].
5
16 179
17
Putative role of antioxidant enzymes and glyoxalases in carcinogenesis.
1
18 3
19 8
20
Effect of ascorbic and dehydroascorbic acid on glyoxalase enzyme system.
1

About Federica Liotti

Federica Liotti is a scholar working on Immunology, Cancer Research and Biochemistry, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include S100 Proteins and Annexins (7 papers), Inflammatory mediators and NSAID effects (6 papers) and Glutathione Transferases and Polymorphisms (5 papers). The work is most often cited by research in Immunology (496 citations), Oncology (377 citations) and Cancer Research (193 citations). Federica Liotti has collaborated with scholars based in Italy, Russia and Japan. Frequent co-authors include Rosa Marina Melillo, Nella Prevete, Gianni Marone, Amato de Paulis, Carla Visciano, Renato Franco, Massimo Santoro, Francesca Collina, Elvira Avilla and Gaetano Calı̀. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research and Oncogene.

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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