Francesca De Iuliis

24 total papers · 476 total citations
17 papers, 315 citations indexed

About

Francesca De Iuliis is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Francesca De Iuliis has authored 17 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 6 papers in Cancer Research and 3 papers in Molecular Biology. Recurrent topics in Francesca De Iuliis's work include Cancer Treatment and Pharmacology (6 papers), HER2/EGFR in Cancer Research (4 papers) and Breast Cancer Treatment Studies (4 papers). Francesca De Iuliis is often cited by papers focused on Cancer Treatment and Pharmacology (6 papers), HER2/EGFR in Cancer Research (4 papers) and Breast Cancer Treatment Studies (4 papers). Francesca De Iuliis collaborates with scholars based in Italy and India. Francesca De Iuliis's co-authors include Susanna Scarpa, Ludovica Taglieri, Gerardo Salerno, Luciano De Biase, Patrizia Cardelli, Luigi Tarantini, Jennifer Foglietta, Alessandro Inno, Valentina Sini and Monica Turazza and has published in prestigious journals such as Annals of Oncology, Critical Reviews in Oncology/Hematology and Cancer Chemotherapy and Pharmacology.

In The Last Decade

Francesca De Iuliis

16 papers receiving 311 citations

Author Peers

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

Author Last Decade Papers Cites
Francesca De Iuliis 198 81 64 58 52 17 315
Ludovica Taglieri 177 0.9× 60 0.7× 58 0.9× 101 1.7× 47 0.9× 18 344
J. K. Choksi 202 1.0× 88 1.1× 126 2.0× 73 1.3× 20 0.4× 19 309
Simone Zanotti 92 0.5× 30 0.4× 43 0.7× 61 1.1× 87 1.7× 18 257
Jean-François Larouche 117 0.6× 28 0.3× 17 0.3× 29 0.5× 16 0.3× 22 272
Kenneth Francis Hofland 113 0.6× 45 0.6× 54 0.8× 130 2.2× 69 1.3× 16 329
Wolfgang Peter 111 0.6× 45 0.6× 11 0.2× 120 2.1× 37 0.7× 17 347
Héctor Aquiles Maldonado-Martínez 105 0.5× 17 0.2× 80 1.3× 119 2.1× 132 2.5× 23 292
Edward C. McCarron 194 1.0× 15 0.2× 159 2.5× 31 0.5× 107 2.1× 14 362
Jewel Plummer Cobb 138 0.7× 12 0.1× 73 1.1× 96 1.7× 65 1.3× 21 328
Miguel Gil Gil 249 1.3× 28 0.3× 134 2.1× 92 1.6× 138 2.7× 19 365

Countries citing papers authored by Francesca De Iuliis

Since Specialization
Citations

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

Fields of papers citing papers by Francesca De Iuliis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca De Iuliis

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