Stefano Spolitu

943 citations
17 papers · 755 indexed · h-index 11
Topics
Lipoproteins and Cardiovascular Health (5 papers)Cancer, Lipids, and Metabolism (3 papers)Protein Kinase Regulation and GTPase Signaling (3 papers)
Partner nations
United StatesItalyChina

In The Last Decade

Stefano Spolitu

17 papers receiving 750 citations

Peers

Stefano Spolitu
Comparison fields: 5 of 82
  • Molecular Biology 254
  • Immunology 214
  • Surgery 165
  • Epidemiology 109
  • Cancer Research 107
Replace Huaijun Chen with:
Huaijun Chen China
Rong Xie China
J. Scott Pattison United States
Rui Ni China
Katharina Jandl Austria
Zeyang Li China
Richelle Hemendinger United States
Fenghao Xu Canada
Mashun Onishi Japan
Stefano Spolitu relative to Huaijun Chen China Huaijun Chen's profile →
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Citations per year

Countries citing papers authored by Stefano Spolitu

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Spolitu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Spolitu

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Spolitu. A scholar is included among the top collaborators of Stefano Spolitu 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 Stefano Spolitu. Stefano Spolitu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 3
2 10
3 14
4 49
5 32
6 1
7 2
8 1
9 50
10 78
11
Multidrug resistance P-glycoprotein dampens SR-BI cholesteryl ester uptake from high density lipoproteins in human leukemia cells.
9
12 10
13 22
14 280
15 160
16 17
17 17

About Stefano Spolitu

Stefano Spolitu is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism and Neurology, having authored 17 papers that have together received 755 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (5 papers), Cancer, Lipids, and Metabolism (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Biochemistry (78 citations), Immunology (214 citations) and Neurology (71 citations). Stefano Spolitu has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Gabrielle Fredman, Ira Tabas, Lale Özcan, Nazila Kamaly, Jaclyn Milton, Devram Sampat Ghorpade, George Kuriakose, Omid C. Farokhzad, Mauro Perretti and Jason Hellmann. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation Research and Scientific Reports.

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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