Stefano Laurora

12 total papers · 432 total citations
10 papers, 386 citations indexed

About

Stefano Laurora is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Stefano Laurora has authored 10 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Stefano Laurora's work include Retinoids in leukemia and cellular processes (4 papers), Cancer-related Molecular Pathways (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). Stefano Laurora is often cited by papers focused on Retinoids in leukemia and cellular processes (4 papers), Cancer-related Molecular Pathways (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). Stefano Laurora collaborates with scholars based in Italy, Czechia and Russia. Stefano Laurora's co-authors include Stefania Pizzimenti, Umberto Dianzani, Giuseppina Barrera, Federica Briatore, Cristina Toaldo, Carlo Ferretti, Patrizia Reffo, C. Ferretti, Barbára Giglioni and Oliviero Danni and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Free Radical Biology and Medicine and Journal of Hepatology.

In The Last Decade

Stefano Laurora

10 papers receiving 377 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Stefano Laurora 266 79 78 75 54 10 386
Dominique Müehlematter 215 0.8× 84 1.1× 33 0.4× 28 0.4× 32 0.6× 8 357
Katrin Fischhuber 223 0.8× 42 0.5× 34 0.4× 47 0.6× 19 0.4× 10 409
Diego Romero‐Perez 179 0.7× 123 1.6× 65 0.8× 38 0.5× 54 1.0× 10 429
Maria Emilia De Leo 194 0.7× 36 0.5× 42 0.5× 55 0.7× 31 0.6× 10 332
Maria Escobar 185 0.7× 61 0.8× 40 0.5× 72 1.0× 24 0.4× 10 400
Xuli Wu 201 0.8× 48 0.6× 21 0.3× 28 0.4× 17 0.3× 7 380
Satoshi Sumida 226 0.8× 49 0.6× 50 0.6× 40 0.5× 34 0.6× 16 418
Deepa Rungta 265 1.0× 26 0.3× 63 0.8× 24 0.3× 66 1.2× 17 392
Anna M. Dipietrantonio 330 1.2× 34 0.4× 31 0.4× 23 0.3× 16 0.3× 10 380
Hyeoncheol Kim 206 0.8× 78 1.0× 18 0.2× 29 0.4× 20 0.4× 9 422

Countries citing papers authored by Stefano Laurora

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Laurora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Laurora

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

All Works

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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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