Lucilla Piccari

698 total citations
38 papers, 327 citations indexed

About

Lucilla Piccari is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Lucilla Piccari has authored 38 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Pulmonary and Respiratory Medicine, 8 papers in Cardiology and Cardiovascular Medicine and 4 papers in Genetics. Recurrent topics in Lucilla Piccari's work include Pulmonary Hypertension Research and Treatments (30 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (13 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers). Lucilla Piccari is often cited by papers focused on Pulmonary Hypertension Research and Treatments (30 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (13 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers). Lucilla Piccari collaborates with scholars based in Spain, United States and United Kingdom. Lucilla Piccari's co-authors include Isabel Blanco, Joan Albert Barberà, Steven D. Nathan, Sylvia Nikkho, Patrizio Vitulo, Stephen J. Wort, Olga Tura-Ceide, Víctor I. Peinado, Paul M. Hassoun and Oksana A. Shlobin and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Scientific Reports and Pharmacology & Therapeutics.

In The Last Decade

Lucilla Piccari

33 papers receiving 325 citations

Peers

Lucilla Piccari
Comparison fields: 5 of 64
  • Pulmonary and Respiratory Medicine 278
  • Cardiology and Cardiovascular Medicine 58
  • Molecular Biology 36
  • Physiology 36
  • Critical Care and Intensive Care Medicine 24
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Citations per field, relative to Lucilla Piccari
Lucilla Piccari · 1×
Citations per year, relative to Lucilla Piccari
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Countries citing papers authored by Lucilla Piccari

Since Specialization
Citations

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

Fields of papers citing papers by Lucilla Piccari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucilla Piccari

This figure shows the co-authorship network connecting the top 25 collaborators of Lucilla Piccari. A scholar is included among the top collaborators of Lucilla Piccari 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 Lucilla Piccari. Lucilla Piccari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 0
5 4
6 0
7 3
8 9
9 1
10 20
11 1
12 4
13 31
14 1
15 16
16 31
17 23
18 18
19 1
20 30

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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