Davide Ruggero

230 total papers · 24.9k total citations
91 papers, 11.8k citations indexed

About

Davide Ruggero is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Davide Ruggero has authored 91 papers receiving a total of 11.8k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Molecular Biology, 12 papers in Immunology and 11 papers in Cell Biology. Recurrent topics in Davide Ruggero's work include RNA modifications and cancer (35 papers), RNA and protein synthesis mechanisms (29 papers) and PI3K/AKT/mTOR signaling in cancer (18 papers). Davide Ruggero is often cited by papers focused on RNA modifications and cancer (35 papers), RNA and protein synthesis mechanisms (29 papers) and PI3K/AKT/mTOR signaling in cancer (18 papers). Davide Ruggero collaborates with scholars based in United States, Italy and Canada. Davide Ruggero's co-authors include Pier Paolo Pandolfi, Morgan Truitt, Kevan M. Shokat, Nahum Sonenberg, Morris E. Feldman, Andrew C. Hsieh, Craig R. Stumpf, Eduardo Magalhães Rego, Ornella Zollo and Robbie Loewith and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Davide Ruggero

89 papers receiving 11.7k citations

Hit Papers

The translational landsca... 2003 2026 2010 2018 2012 2009 2003 2012 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Davide Ruggero 9.8k 1.7k 1.5k 1.2k 1.1k 91 11.8k
Michael Jaye 8.7k 0.9× 1.5k 0.9× 1.5k 1.0× 2.6k 2.1× 855 0.8× 114 12.0k
Gilles Pagès 7.2k 0.7× 2.1k 1.2× 2.2k 1.4× 1.1k 0.8× 1.3k 1.2× 174 11.3k
Richard B. Pearson 9.6k 1.0× 1.3k 0.7× 2.0k 1.3× 1.5k 1.2× 888 0.8× 136 12.3k
Ivan Topisirović 7.6k 0.8× 1.3k 0.8× 954 0.6× 669 0.5× 1.0k 0.9× 110 9.5k
Michael J. Comb 8.6k 0.9× 801 0.5× 1.6k 1.0× 1.2k 1.0× 940 0.9× 76 11.2k
Bryan A. Ballif 7.8k 0.8× 1.1k 0.6× 1.8k 1.1× 1.8k 1.4× 597 0.5× 104 10.5k
Roberto D. Polakiewicz 6.7k 0.7× 1.3k 0.7× 1.4k 0.9× 740 0.6× 946 0.9× 69 9.1k
Sheng‐Cai Lin 8.3k 0.8× 2.0k 1.1× 1.3k 0.9× 1.2k 1.0× 1.6k 1.5× 91 11.5k
Lihua Julie Zhu 6.8k 0.7× 1.2k 0.7× 785 0.5× 1.4k 1.1× 652 0.6× 164 9.2k
Karen C. Arden 11.6k 1.2× 1.7k 1.0× 2.1k 1.3× 1.0k 0.8× 2.1k 1.9× 77 15.0k

Countries citing papers authored by Davide Ruggero

Since Specialization
Citations

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

Fields of papers citing papers by Davide Ruggero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Ruggero

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