P. Di Blasi

23 total papers · 554 total citations
19 papers, 436 citations indexed

About

P. Di Blasi is a scholar working on Physiology, Pulmonary and Respiratory Medicine and Immunology and Allergy. According to data from OpenAlex, P. Di Blasi has authored 19 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Physiology, 9 papers in Pulmonary and Respiratory Medicine and 5 papers in Immunology and Allergy. Recurrent topics in P. Di Blasi's work include Asthma and respiratory diseases (11 papers), Allergic Rhinitis and Sensitization (5 papers) and Respiratory and Cough-Related Research (4 papers). P. Di Blasi is often cited by papers focused on Asthma and respiratory diseases (11 papers), Allergic Rhinitis and Sensitization (5 papers) and Respiratory and Cough-Related Research (4 papers). P. Di Blasi collaborates with scholars based in Italy, United Kingdom and United States. P. Di Blasi's co-authors include Giovanni Visonà, Diego Peroni, Attilio Boner, L. Zerman, Giorgio Piacentini, Gino Beggiolin, Leonardo Antonicelli, Roberto de Marco, Susanna Voltolini and A. Bernareggi and has published in prestigious journals such as Diabetes Care, Journal of Applied Physiology and American Journal of Physiology-Cell Physiology.

In The Last Decade

P. Di Blasi

19 papers receiving 422 citations

Author Peers

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

Author Last Decade Papers Cites
P. Di Blasi 244 163 133 62 58 19 436
Shaoyan Feng 106 0.4× 102 0.6× 54 0.4× 118 1.9× 19 0.3× 30 461
Ronald L. Sanders 78 0.3× 71 0.4× 288 2.2× 76 1.2× 30 0.5× 16 488
D. Häfner 251 1.0× 148 0.9× 139 1.0× 32 0.5× 6 0.1× 12 393
M Fumagalli 83 0.3× 42 0.3× 52 0.4× 23 0.4× 8 0.1× 21 472
Heejae Han 152 0.6× 107 0.7× 101 0.8× 70 1.1× 31 0.5× 17 441
Zev M. Munk 338 1.4× 184 1.1× 241 1.8× 12 0.2× 10 0.2× 14 410
Chester C. Wood 332 1.4× 280 1.7× 136 1.0× 16 0.3× 3 0.1× 23 449
Karen J. Keeran 181 0.7× 39 0.2× 88 0.7× 120 1.9× 22 0.4× 20 424
A Janezić 170 0.7× 72 0.4× 71 0.5× 48 0.8× 48 0.8× 18 435
Ch. Ohmann 45 0.2× 56 0.3× 84 0.6× 65 1.0× 6 0.1× 20 381

Countries citing papers authored by P. Di Blasi

Since Specialization
Citations

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

Fields of papers citing papers by P. Di Blasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Di Blasi

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