Alessandra De Robertis

24 total papers · 468 total citations
4 papers, 337 citations indexed

About

Alessandra De Robertis is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Alessandra De Robertis has authored 4 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Pathology and Forensic Medicine and 2 papers in Oncology. Recurrent topics in Alessandra De Robertis's work include Cancer Mechanisms and Therapy (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Cancer-related gene regulation (2 papers). Alessandra De Robertis is often cited by papers focused on Cancer Mechanisms and Therapy (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Cancer-related gene regulation (2 papers). Alessandra De Robertis collaborates with scholars based in Italy and Germany. Alessandra De Robertis's co-authors include Salvatore Oliviero, Alessio Zippo, R. Serafini, Federico Galvagni, Monia Bardelli, Massimiliano Salerno, M. Varrone, Silvia Valensin, Marco Rossi and Patrizia Tunici and has published in prestigious journals such as Blood, PLoS ONE and Nature Cell Biology.

In The Last Decade

Alessandra De Robertis

4 papers receiving 336 citations

Author Peers

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

Author Last Decade Papers Cites
Alessandra De Robertis 249 142 119 40 37 4 337
Lucy Scott 251 1.0× 111 0.8× 165 1.4× 27 0.7× 19 0.5× 8 353
Joseph Castillo 131 0.5× 115 0.8× 115 1.0× 62 1.6× 23 0.6× 6 298
Haig Inguilizian 188 0.8× 103 0.7× 81 0.7× 29 0.7× 55 1.5× 5 324
J Y J Wang 255 1.0× 61 0.4× 231 1.9× 32 0.8× 53 1.4× 9 391
Sian Taylor 175 0.7× 41 0.3× 124 1.0× 42 1.1× 44 1.2× 8 297
Elizabeth Carideo 150 0.6× 138 1.0× 130 1.1× 123 3.1× 18 0.5× 5 339
Kati Servan 225 0.9× 49 0.3× 120 1.0× 28 0.7× 106 2.9× 6 390
Bina Julian 254 1.0× 34 0.2× 103 0.9× 41 1.0× 48 1.3× 3 343
Michael Röring 297 1.2× 71 0.5× 99 0.8× 14 0.3× 23 0.6× 8 365
Ramona Wullenkord 233 0.9× 48 0.3× 127 1.1× 27 0.7× 53 1.4× 7 326

Countries citing papers authored by Alessandra De Robertis

Since Specialization
Citations

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

Fields of papers citing papers by Alessandra De Robertis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandra De Robertis

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