Maria Bellia

67 total papers · 403 total citations
25 papers, 279 citations indexed

About

Maria Bellia is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Artificial Intelligence. According to data from OpenAlex, Maria Bellia has authored 25 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 7 papers in Physiology and 4 papers in Artificial Intelligence. Recurrent topics in Maria Bellia's work include Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), Logic, programming, and type systems (4 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers). Maria Bellia is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), Logic, programming, and type systems (4 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers). Maria Bellia collaborates with scholars based in Italy, United States and Switzerland. Maria Bellia's co-authors include Nicola Scichilone, Vincenzo Bellia, Massimo Midiri, Rosalia Ragusa, Fabio Cannizzaro, Pascal Chanez, P Godard, Antonio M. Vignola, Fabrice Paganin and Jean Bousquet and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Respiratory and Critical Care Medicine and Journal of Applied Physiology.

In The Last Decade

Maria Bellia

20 papers receiving 264 citations

Author Peers

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

Author Last Decade Papers Cites
Maria Bellia 171 95 36 36 25 25 279
Stephanie Korrer 88 0.5× 99 1.0× 28 0.8× 30 0.8× 17 0.7× 22 308
Alex Aregbesola 28 0.2× 35 0.4× 24 0.7× 66 1.8× 21 0.8× 26 266
Sadamu Okada 33 0.2× 52 0.5× 13 0.4× 47 1.3× 32 1.3× 29 312
Zhonglin Feng 62 0.4× 19 0.2× 10 0.3× 16 0.4× 48 1.9× 24 216
Kay Tyerman 80 0.5× 19 0.2× 8 0.2× 27 0.8× 16 0.6× 20 259
Abdallah Kobeissy 120 0.7× 53 0.6× 23 0.6× 38 1.1× 5 0.2× 31 292
Anna Carolina Batista Dantas 32 0.2× 59 0.6× 27 0.8× 59 1.6× 24 1.0× 25 270
Prateek Lohia 62 0.4× 38 0.4× 48 1.3× 101 2.8× 78 3.1× 26 307
Nitin Seam 97 0.6× 61 0.6× 8 0.2× 52 1.4× 19 0.8× 31 329
Pooja Rangan 42 0.2× 30 0.3× 13 0.4× 83 2.3× 77 3.1× 30 271

Countries citing papers authored by Maria Bellia

Since Specialization
Citations

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

Fields of papers citing papers by Maria Bellia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Bellia

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