Daniela Di Cuonzo

41 total papers · 522 total citations
22 papers, 357 citations indexed

About

Daniela Di Cuonzo is a scholar working on Oncology, Economics and Econometrics and General Health Professions. According to data from OpenAlex, Daniela Di Cuonzo has authored 22 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 4 papers in Economics and Econometrics and 3 papers in General Health Professions. Recurrent topics in Daniela Di Cuonzo's work include Global Cancer Incidence and Screening (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Endometrial and Cervical Cancer Treatments (3 papers). Daniela Di Cuonzo is often cited by papers focused on Global Cancer Incidence and Screening (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Endometrial and Cervical Cancer Treatments (3 papers). Daniela Di Cuonzo collaborates with scholars based in Italy, United Kingdom and Belarus. Daniela Di Cuonzo's co-authors include Eva Pagano, Giovannino Ciccone, Franco Merletti, Nereo Segnan, Rosalba Rosato, Ileana Baldi, Oscar Bertetto, Carlotta Sacerdote, Roberto Zanetti and Marcello Migliore and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Daniela Di Cuonzo

22 papers receiving 350 citations

Author Peers

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

Author Last Decade Papers Cites
Daniela Di Cuonzo 180 72 55 53 39 22 357
Yi-Ting Hwang 157 0.9× 42 0.6× 44 0.8× 52 1.0× 37 0.9× 10 336
Chanza Shaikh 146 0.8× 99 1.4× 38 0.7× 66 1.2× 57 1.5× 42 307
Kelley Tipton 91 0.5× 104 1.4× 41 0.7× 74 1.4× 34 0.9× 23 391
Chester Schmaltz 185 1.0× 69 1.0× 54 1.0× 83 1.6× 19 0.5× 22 353
Rima Tawk 130 0.7× 45 0.6× 56 1.0× 38 0.7× 40 1.0× 26 375
Yat Ming Lau 141 0.8× 49 0.7× 55 1.0× 89 1.7× 46 1.2× 13 349
Danielle R. Heller 179 1.0× 65 0.9× 40 0.7× 62 1.2× 47 1.2× 27 381
Chaoyi Zheng 122 0.7× 90 1.3× 86 1.6× 62 1.2× 29 0.7× 21 345
Aimilia Exarchakou 153 0.8× 50 0.7× 74 1.3× 48 0.9× 47 1.2× 11 330
Olena Mandrik 155 0.9× 55 0.8× 103 1.9× 38 0.7× 45 1.2× 37 382

Countries citing papers authored by Daniela Di Cuonzo

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Di Cuonzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Di Cuonzo. 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 Daniela Di Cuonzo. The network helps show where Daniela Di Cuonzo may publish in the future.

Co-authorship network of co-authors of Daniela Di Cuonzo

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Di Cuonzo. A scholar is included among the top collaborators of Daniela Di Cuonzo 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 Daniela Di Cuonzo. Daniela Di Cuonzo 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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