Gaia Spinetti

6.0k citations
96 papers · 4.3k indexed · h-index 37

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Genetics top 2%
    • Mesenchymal stem cell research

Papers in

Gaia Spinetti

93 papers receiving 4.3k citations

Peers

Gaia Spinetti
Comparison fields: 5 of 126
  • Cancer Research 990
  • Genetics 464
  • Immunology 862
  • Aging 55
  • Molecular Biology 2.0k
Replace Maria Felice Brizzi with:
Maria Felice Brizzi Italy
Mukesh K. Jain United States
Mattia Albiero Italy
Yangxin Li China
Chung‐Hyun Cho South Korea
Mark W. Feinberg United States
Kazutake Tsujikawa Japan
Gangjian Qin United States
Yao‐Hua Song United States
Jin Hur South Korea
Gaia Spinetti relative to Maria Felice Brizzi Italy Maria Felice Brizzi's profile →
Citations per field
00.5×2.6×
Maria Felice Brizzi · 1×
Citations per year

Countries citing papers authored by Gaia Spinetti

Since Specialization
Citations

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

Fields of papers citing papers by Gaia Spinetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gaia Spinetti, 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 Gaia Spinetti Line = papers co-authored together Gaia Spinetti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20256
2 20242
3 20242
4 202215
5 202215
6 202222
7 20211
8 202122
9 202129
10 202015
11 20192
12 201790
13 201744
14 20163
15 201527
16 201512
17 201427
18 200881
19
Abstract 1455: Aortic Calpain-1 Increases with Aging, Activates Matrix Metalloproteinase II, and Promotes Vascular Smooth Muscle Cell Migration
20061
20 200081

About Gaia Spinetti

Gaia Spinetti is a scholar working on Genetics, Cancer Research, Immunology and Allergy, Immunology and Molecular Biology, having authored 96 papers that have together received 4.3k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (27 papers), Mesenchymal stem cell research (20 papers), Chemokine receptors and signaling (12 papers), MicroRNA in disease regulation (11 papers), Tissue Engineering and Regenerative Medicine (8 papers), Circular RNAs in diseases (8 papers), Diabetic Foot Ulcer Assessment and Management (7 papers) and Atherosclerosis and Cardiovascular Diseases (7 papers). The work is most often cited by research in Cancer Research (990 citations), Genetics (464 citations), Immunology (862 citations), Aging (55 citations) and Molecular Biology (2.0k citations). Gaia Spinetti has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Paolo Madeddu, Costanza Emanueli, Robert E. Monticone, Mingyi Wang, Edward G. Lakatta, Gianfranco Pintus, Andrea Caporali, Giovanni Bernardini, Monica Napolitano and Di Zhao. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Antioxidants and Redox Signaling, Circulation Research, Diabetes and Cardiovascular Research.

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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