Sandro Satta

960 citations
24 papers · 751 · h-index 13

Impact in

Papers in

    • COVID-19 Clinical Research Studies 4
    • SARS-CoV-2 and COVID-19 Research 4
    • Congenital heart defects research 3
    • Single-cell and spatial transcriptomics 2

Sandro Satta

24 papers receiving 744 citations

Peers

Sandro Satta
Comparison fields: 5 of 105
  • Infectious Diseases 96
  • Biochemistry 30
  • Biological Psychiatry 11
  • Pathology and Forensic Medicine 75
  • Molecular Biology 270
Replace Mengyuan Chen with:
Mengyuan Chen China
Rafał Jakub Bułdak Poland
Simona Frosali Italy
Uzma Saqib India
Vanessa González-Covarrubias Mexico
Belal Chami Australia
Takahiro Kawasaki Japan
Biju Bhargavan United States
Ekaterina N. Popova Russia
Laura Kate Gadanec Australia
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Citations per field
00.5×1.5×1.9×
Mengyuan Chen · 1×
Citations per year

Countries citing papers authored by Sandro Satta

Since Specialization
Citations

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

Fields of papers citing papers by Sandro Satta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017256
2 202077
3 202373
4 201962
5 202245
6 202044
7 202225
8 202224
9 202120
10 202319
11 202115
12 202315
13 202314
14 202412
15 202211
16 20238
17 20207
18 20227
19 20216
20 20235

About Sandro Satta

Sandro Satta is a scholar working on Infectious Diseases, Molecular Biology, Immunology, Neurology and Nutrition and Dietetics, having authored 24 papers that have together received 751 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), 3D Printing in Biomedical Research (3 papers), Congenital heart defects research (3 papers), Microfluidic and Bio-sensing Technologies (2 papers), Single-cell and spatial transcriptomics (2 papers), Long-Term Effects of COVID-19 (2 papers) and Zebrafish Biomedical Research Applications (2 papers). The work is most often cited by research in Infectious Diseases (96 citations), Biochemistry (30 citations), Biological Psychiatry (11 citations), Pathology and Forensic Medicine (75 citations) and Molecular Biology (270 citations). Sandro Satta has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Fiona L. Wilkinson, Stephen J. White, Ayman Moawad Mahmoud, M. Yvonne Alexander, Tzung K. Hsiai, Mario Sechi, Ahmed T. A. Boraei, Pankaj Kumar Singh, Theodoros Kelesidis and Vanna Sanna. Their work appears in journals such as Theranostics, European Journal of Medicinal Chemistry, Journal of Enzyme Inhibition and Medicinal Chemistry, Advanced Science and Stroke.

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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