Daniel J. Benedetti

59 total papers · 407 total citations
28 papers, 209 citations indexed

About

Daniel J. Benedetti is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel J. Benedetti has authored 28 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Pediatrics, Perinatology and Child Health and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel J. Benedetti's work include Renal and related cancers (10 papers), Renal cell carcinoma treatment (8 papers) and Ethics and Legal Issues in Pediatric Healthcare (7 papers). Daniel J. Benedetti is often cited by papers focused on Renal and related cancers (10 papers), Renal cell carcinoma treatment (8 papers) and Ethics and Legal Issues in Pediatric Healthcare (7 papers). Daniel J. Benedetti collaborates with scholars based in United States, Canada and United Kingdom. Daniel J. Benedetti's co-authors include Gerald J. Taborsky, Howard A. Chansky, Michael L. Blackburn, Anna Zielinska‐Kwiatkowska, Yoshito Matsui, Anton Krumm, Qi Mei, Liu Yang, Lea Matsuoka and Manhal Izzy and has published in prestigious journals such as PEDIATRICS, Cancer and Annals of Surgery.

In The Last Decade

Daniel J. Benedetti

24 papers receiving 206 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel J. Benedetti 127 37 36 28 28 28 209
Mônica Cypriano 79 0.6× 46 1.2× 40 1.1× 25 0.9× 12 0.4× 22 163
Pei‐Chi Kao 74 0.6× 28 0.8× 36 1.0× 41 1.5× 28 1.0× 26 228
Peijie Wang 106 0.8× 7 0.2× 25 0.7× 22 0.8× 33 1.2× 27 265
Blair McNamara 28 0.2× 42 1.1× 27 0.8× 13 0.5× 11 0.4× 33 231
Hee Won Cho 90 0.7× 32 0.9× 10 0.3× 37 1.3× 36 1.3× 31 279
Yi-Zhuo Wang 19 0.1× 21 0.6× 25 0.7× 34 1.2× 18 0.6× 24 178
Eleonora Biasin 45 0.4× 53 1.4× 33 0.9× 15 0.5× 4 0.1× 20 223
Furong Liu 43 0.3× 14 0.4× 37 1.0× 29 1.0× 63 2.3× 29 233
Eun Hye Park 97 0.8× 8 0.2× 41 1.1× 28 1.0× 7 0.3× 22 253
Holger Hauch 74 0.6× 30 0.8× 34 0.9× 9 0.3× 4 0.1× 29 254

Countries citing papers authored by Daniel J. Benedetti

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Benedetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Benedetti. 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 Daniel J. Benedetti. The network helps show where Daniel J. Benedetti may publish in the future.

Co-authorship network of co-authors of Daniel J. Benedetti

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Benedetti. A scholar is included among the top collaborators of Daniel J. Benedetti 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 Daniel J. Benedetti. Daniel J. Benedetti 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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