Davide De Biase

82 total papers · 835 total citations
53 papers, 577 citations indexed

About

Davide De Biase is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Davide De Biase has authored 53 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Epidemiology and 10 papers in Physiology. Recurrent topics in Davide De Biase's work include Veterinary Oncology Research (5 papers), Autophagy in Disease and Therapy (5 papers) and Muscle Physiology and Disorders (4 papers). Davide De Biase is often cited by papers focused on Veterinary Oncology Research (5 papers), Autophagy in Disease and Therapy (5 papers) and Muscle Physiology and Disorders (4 papers). Davide De Biase collaborates with scholars based in Italy, United States and Poland. Davide De Biase's co-authors include Orlando Paciello, Serenella Papparella, Giuseppe Piegari, Giuseppe Palma, Francesco Prisco, Giuseppina Mattace Raso, Adriano Lama, Claudio Pirozzi, Teresa Bruna Pagano and Valeria Russo and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and The FASEB Journal.

In The Last Decade

Davide De Biase

46 papers receiving 562 citations

Author Peers

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

Author Last Decade Papers Cites
Davide De Biase 200 105 97 64 54 53 577
Vinicius Carreira 179 0.9× 65 0.6× 51 0.5× 32 0.5× 22 0.4× 37 574
Jing Huang 269 1.3× 46 0.4× 96 1.0× 57 0.9× 20 0.4× 50 694
Giuseppe Passantino 133 0.7× 58 0.6× 56 0.6× 53 0.8× 42 0.8× 62 649
Tolga Güvenç 115 0.6× 35 0.3× 59 0.6× 43 0.7× 77 1.4× 67 687
Donggang Xu 279 1.4× 47 0.4× 38 0.4× 27 0.4× 54 1.0× 49 655
Yanbing Liang 266 1.3× 40 0.4× 44 0.5× 36 0.6× 41 0.8× 29 585
Susumu TATEYAMA 162 0.8× 55 0.5× 119 1.2× 144 2.3× 38 0.7× 70 656
Robert D. Murnane 127 0.6× 108 1.0× 140 1.4× 75 1.2× 29 0.5× 46 530
R Vaccaro 77 0.4× 68 0.6× 81 0.8× 87 1.4× 27 0.5× 53 543
E. Karbe 130 0.7× 77 0.7× 47 0.5× 31 0.5× 17 0.3× 41 520

Countries citing papers authored by Davide De Biase

Since Specialization
Citations

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

Fields of papers citing papers by Davide De Biase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide De Biase

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