Daniele Natalini

23 total papers · 977 total citations
13 papers, 162 citations indexed

About

Daniele Natalini is a scholar working on Pulmonary and Respiratory Medicine, Critical Care and Intensive Care Medicine and Emergency Medicine. According to data from OpenAlex, Daniele Natalini has authored 13 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 4 papers in Critical Care and Intensive Care Medicine and 4 papers in Emergency Medicine. Recurrent topics in Daniele Natalini's work include Respiratory Support and Mechanisms (6 papers), Cardiac Arrest and Resuscitation (4 papers) and COVID-19 Clinical Research Studies (3 papers). Daniele Natalini is often cited by papers focused on Respiratory Support and Mechanisms (6 papers), Cardiac Arrest and Resuscitation (4 papers) and COVID-19 Clinical Research Studies (3 papers). Daniele Natalini collaborates with scholars based in Italy, France and United Kingdom. Daniele Natalini's co-authors include Massimo Antonelli, Domenico Luca Grieco, Salvatore Maurizio Maggiore, Claudio Sandroni, Jerry P. Nolan, Davide Eleuteri, Alberto Donzelli, Gian Marco Anzellotti, Stefania Conti and Erika Leonardi and has published in prestigious journals such as Critical Care, Journal of Clinical Medicine and Frontiers in Medicine.

In The Last Decade

Daniele Natalini

13 papers receiving 158 citations

Author Peers

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

Author Last Decade Papers Cites
Daniele Natalini 76 52 35 35 23 13 162
Alessandro Scartabellati 119 1.6× 62 1.2× 44 1.3× 34 1.0× 52 2.3× 12 214
Francesca Campoccia Jalde 114 1.5× 88 1.7× 56 1.6× 36 1.0× 31 1.3× 14 222
David Koeckerling 95 1.3× 18 0.3× 27 0.8× 13 0.4× 16 0.7× 12 180
Federica Fusina 190 2.5× 82 1.6× 51 1.5× 32 0.9× 44 1.9× 15 277
A Leme 85 1.1× 31 0.6× 46 1.3× 30 0.9× 43 1.9× 10 159
Mehul Desai 169 2.2× 77 1.5× 71 2.0× 29 0.8× 51 2.2× 15 249
Rodrigo Antônio Brandão Neto 96 1.3× 22 0.4× 77 2.2× 32 0.9× 27 1.2× 17 201
Matthew Gordon 108 1.4× 21 0.4× 45 1.3× 25 0.7× 28 1.2× 10 149
M. Patel 88 1.2× 34 0.7× 27 0.8× 20 0.6× 15 0.7× 18 144
Hassan Rahhal 56 0.7× 47 0.9× 22 0.6× 29 0.8× 19 0.8× 13 124

Countries citing papers authored by Daniele Natalini

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Natalini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniele Natalini. 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 Daniele Natalini. The network helps show where Daniele Natalini may publish in the future.

Co-authorship network of co-authors of Daniele Natalini

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Natalini. A scholar is included among the top collaborators of Daniele Natalini 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 Daniele Natalini. Daniele Natalini 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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