Stefano Scalera

72 total papers · 837 total citations
14 papers, 175 citations indexed

About

Stefano Scalera is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Stefano Scalera has authored 14 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Cell Biology. Recurrent topics in Stefano Scalera's work include Hippo pathway signaling and YAP/TAZ (4 papers), RNA Research and Splicing (3 papers) and Cancer-related molecular mechanisms research (3 papers). Stefano Scalera is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (4 papers), RNA Research and Splicing (3 papers) and Cancer-related molecular mechanisms research (3 papers). Stefano Scalera collaborates with scholars based in Italy, United States and Malaysia. Stefano Scalera's co-authors include Marcello Maugeri‐Saccà, Gennaro Ciliberto, Giovanni Blandino, Giulia Bon, Federica Lo Sardo, Federico Cappuzzo, Ruggero De Maria, Cristina Colarossi, Marco Mazzotta and Eriseld Krasniqi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Stefano Scalera

11 papers receiving 175 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 Scalera 119 50 40 34 32 14 175
Antonella F. M. Dost 152 1.3× 49 1.0× 52 1.3× 49 1.4× 39 1.2× 9 231
Melissa Pool Pizzi 129 1.1× 71 1.4× 44 1.1× 35 1.0× 24 0.8× 19 196
Christina Möller‐Koop 110 0.9× 63 1.3× 48 1.2× 71 2.1× 19 0.6× 18 189
Bojana Stefanovska 97 0.8× 39 0.8× 31 0.8× 25 0.7× 23 0.7× 11 147
Lok-Hei Chan 141 1.2× 49 1.0× 43 1.1× 22 0.6× 20 0.6× 12 219
Thoraia Shinawi 173 1.5× 72 1.4× 30 0.8× 56 1.6× 27 0.8× 15 236
Karina Vázquez-Arreguín 87 0.7× 35 0.7× 57 1.4× 24 0.7× 15 0.5× 10 175
Yang Duan 220 1.8× 59 1.2× 54 1.4× 27 0.8× 28 0.9× 16 263
Yanxiao Wang 132 1.1× 74 1.5× 61 1.5× 24 0.7× 12 0.4× 14 213
Xinyu Li 151 1.3× 46 0.9× 19 0.5× 25 0.7× 22 0.7× 14 200

Countries citing papers authored by Stefano Scalera

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Scalera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Scalera

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Scalera. A scholar is included among the top collaborators of Stefano Scalera 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 Scalera. Stefano Scalera 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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