Lucia Piredda

29 papers receiving 1.9k citations

Peers

Lucia Piredda
Comparison fields: 5 of 93
  • Pulmonary and Respiratory Medicine 847
  • Cell Biology 259
  • Physiology 345
  • Neurology 171
  • Molecular Biology 767
Replace Serafina Oliverio with:
Serafina Oliverio Italy
Stan Lightfoot United States
Francesco Autuori Italy
Stan F.J. van de Graaf Netherlands
Cecilia Garofalo Italy
Naomi Sakashita Japan
Li Zhou China
Cristiano Simone Italy
Stephen A. Stimpson United States
Mitsuyo Matsumoto Japan
Lucia Piredda relative to Serafina Oliverio Italy Serafina Oliverio's profile →
Citations per field
00.5×1.7×
Serafina Oliverio · 1×
Citations per year

Countries citing papers authored by Lucia Piredda

Since Specialization
Citations

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

Fields of papers citing papers by Lucia Piredda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lucia Piredda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lucia Piredda Line = papers co-authored together Lucia Piredda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994234
2 1994167
3
The expression of "tissue" transglutaminase in two human cancer cell lines is related with the programmed cell death (apoptosis).
1991162
4 1991125
5 1997117
6 2008115
7 2002111
8 2000107
9 1992103
10 199990
11 200483
12 199773
13 200856
14 199249
15 201549
16 199845
17 201635
18 199635
19 200532
20 201432

About Lucia Piredda

Lucia Piredda is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Physiology, Epidemiology and Cell Biology, having authored 29 papers that have together received 1.9k indexed citations. Recurring topics across this work include Blood properties and coagulation (12 papers), Erythrocyte Function and Pathophysiology (8 papers), Cell death mechanisms and regulation (3 papers), Skin and Cellular Biology Research (3 papers), Autophagy in Disease and Therapy (3 papers), Immunotoxicology and immune responses (3 papers), Polyamine Metabolism and Applications (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (847 citations), Cell Biology (259 citations), Physiology (345 citations), Neurology (171 citations) and Molecular Biology (767 citations). Lucia Piredda has collaborated with scholars based in Italy, Hungary and United States. Frequent co-authors include Mauro Piacentini, Maria Grazia Farrace, Gerry Melino, László Fésüs, Margherita Annicchiarico‐Petruzzelli, Peter J. Davies, Vittorio Gentile, Eleonora Candi, Serafina Oliverio and Lina Ghibelli. Their work appears in journals such as Molecular and Cellular Biology, Biochemical and Biophysical Research Communications, The FASEB Journal, Life and Amino Acids.

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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