Sandro Satta

938 citations
25 papers · 717 · h-index 12

Impact in

Papers in

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

Sandro Satta

25 papers receiving 712 citations

Peers

Sandro Satta
Comparison fields: 5 of 105
  • Infectious Diseases 96
  • Biochemistry 29
  • Biological Psychiatry 11
  • Pathology and Forensic Medicine 73
  • Cancer Research 53
Replace Laura Kate Gadanec with:
Laura Kate Gadanec Australia
Mengyuan Chen China
Mandeep Kumar Arora India
Chunmei Li China
Xudong Xu China
Rafał Jakub Bułdak Poland
Neeraj Kapur United States
Wei‐Jan Wang Taiwan
Wenbin Tan United States
Hemanth Kumar Kandikattu United States
Sandro Satta relative to Laura Kate Gadanec Australia Laura Kate Gadanec's profile →
Citations per field
00.5×1.5×1.9×
Laura Kate Gadanec · 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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017247
2 202074
3 202373
4 201961
5 202245
6 202043
7 202224
8 202223
9 202121
10 202115
11 202315
12 202314
13 202211
14 20249
15 20239
16 20227
17 20207
18 20235
19 20215
20 20252

About Sandro Satta

Sandro Satta is a scholar working on Molecular Biology, Infectious Diseases, Biomedical Engineering, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 717 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (4 papers), Congenital heart defects research (3 papers), 3D Printing in Biomedical Research (3 papers), Cancer Genomics and Diagnostics (2 papers), Microfluidic and Bio-sensing Technologies (2 papers), Single-cell and spatial transcriptomics (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Infectious Diseases (96 citations), Biochemistry (29 citations), Biological Psychiatry (11 citations), Pathology and Forensic Medicine (73 citations) and Cancer Research (53 citations). Sandro Satta has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Stephen J. White, Fiona L. Wilkinson, Ayman M. Mahmoud, M. Yvonne Alexander, Tzung K. Hsiai, Mario Sechi, Theodoros Kelesidis, Pankaj Kumar Singh, Ahmed T. A. Boraei and Vanna Sanna. Their work appears in journals such as European Journal of Medicinal Chemistry, Theranostics, Journal of Clinical Oncology, Metabolism and Circulation.

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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