Luigi Pisani

2.6k total citations
72 papers, 706 citations indexed

About

Luigi Pisani is a scholar working on Critical Care and Intensive Care Medicine, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Luigi Pisani has authored 72 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Critical Care and Intensive Care Medicine, 41 papers in Pulmonary and Respiratory Medicine and 16 papers in Epidemiology. Recurrent topics in Luigi Pisani's work include Respiratory Support and Mechanisms (38 papers), Ultrasound in Clinical Applications (26 papers) and Intensive Care Unit Cognitive Disorders (14 papers). Luigi Pisani is often cited by papers focused on Respiratory Support and Mechanisms (38 papers), Ultrasound in Clinical Applications (26 papers) and Intensive Care Unit Cognitive Disorders (14 papers). Luigi Pisani collaborates with scholars based in Italy, Netherlands and Thailand. Luigi Pisani's co-authors include Marcus J. Schultz, Marry R. Smit, Salvatore Grasso, Lieuwe D. J. Bos, Frederique Paulus, Pieter R. Tuinman, Arjen M. Dondorp, Charalampos Pierrakos, Giovanni Putoto and Micah L. A. Heldeweg and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Luigi Pisani

66 papers receiving 704 citations

Peers

Luigi Pisani
Jakob I. McSparron United States
Niccolò Parri Italy
Daniele Coen Italy
Gary Duclos France
Ranjit Deshpande United States
Roopa Kohli‐Seth United States
Jason W. Custer United States
Elisabeth D. Riviello United States
Gabriel Blecher Australia
Bruno Adler Maccagnan Pinheiro Besen Brazil
Jakob I. McSparron United States
Luigi Pisani
Citations per year, relative to Luigi Pisani Luigi Pisani (= 1×) peers Jakob I. McSparron

Countries citing papers authored by Luigi Pisani

Since Specialization
Citations

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

Fields of papers citing papers by Luigi Pisani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luigi Pisani

This figure shows the co-authorship network connecting the top 25 collaborators of Luigi Pisani. A scholar is included among the top collaborators of Luigi Pisani 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 Luigi Pisani. Luigi Pisani 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
1.
Smit, Marry R., Aniruddha Ghose, Harm‐Jan de Grooth, et al.. (2025). Personalized Mechanical Ventilation in Patient With Acute Respiratory Distress Syndrome Guided by Lung Ultrasound: A Pilot Phase Study. American Journal of Respiratory and Critical Care Medicine. 211(Supplement_1). A1217–A1217.
2.
Hagens, Laura A., Nanon F. L. Heijnen, Ronny M. Schnabel, et al.. (2025). Correlation of sonographic and radiographic scores of lung edema and metrics of shunt, dead space, and respiratory mechanics in invasively ventilated patients. PubMed. 37. e20250036–e20250036.
3.
Salluh, Jorge I., Luigi Pisani, Antônio Paulo Nassar, et al.. (2025). Critical care research in low- and middle-income countries: a narrative review. Thorax. thorax–2024.
4.
Thai, Truc Thanh, et al.. (2025). Lung ultrasound for the diagnosis and monitoring of pneumonia in a tuberculosis-endemic setting: a prospective study. BMJ Open. 15(4). e094799–e094799. 1 indexed citations
5.
Murgolo, Francesco, Savino Spadaro, Domenico Luca Grieco, et al.. (2025). Assessment of Respiratory Mechanics and Inspiratory Effort During Spontaneous Breathing Trials to Predict Extubation Failure in High-Risk Patients. American Journal of Respiratory and Critical Care Medicine. 211(12). 2340–2351.
6.
Salluh, Jorge I., Bruno Adler Maccagnan Pinheiro Besen, Sebastián González‐Dambrauskas, et al.. (2024). Preenchendo a lacuna de conhecimento em cuidados intensivos: a importância das publicações de países de baixa e média renda. 36. 1 indexed citations
7.
Pisani, Luigi, et al.. (2023). ICU registries: From tracking to fostering better outcomes. Journal of Critical Care. 79. 154462–154462. 2 indexed citations
8.
Giannarelli, Diana, et al.. (2023). Calibration of the PREdiction of DELIRium in ICu Patients (PRE-DELIRIC) Score in a Cohort of Critically Ill Patients. Dimensions of Critical Care Nursing. 42(4). 187–195. 7 indexed citations
9.
Smit, Marry R., Laura A. Hagens, Nanon F. L. Heijnen, et al.. (2023). Lung Ultrasound Prediction Model for Acute Respiratory Distress Syndrome: A Multicenter Prospective Observational Study. American Journal of Respiratory and Critical Care Medicine. 207(12). 1591–1601. 35 indexed citations
10.
11.
Patel, Vishal, Luigi Pisani, Abi Beane, et al.. (2023). Organisation, staffing and resources of critical care units in Kenya. PLoS ONE. 18(7). e0284245–e0284245. 1 indexed citations
12.
Valk, Christel M. A., Guido Mazzinari, Charalampos Pierrakos, et al.. (2022). The Prognostic Capacity of the Radiographic Assessment for Lung Edema Score in Patients With COVID-19 Acute Respiratory Distress Syndrome—An International Multicenter Observational Study. Frontiers in Medicine. 8. 772056–772056. 15 indexed citations
13.
Heldeweg, Micah L. A., Luigi Pisani, Stefanie Slot, et al.. (2022). The Impact of Thoracic Ultrasound on Clinical Management of Critically Ill Patients (UltraMan): An International Prospective Observational Study*. Critical Care Medicine. 51(3). 357–364. 8 indexed citations
14.
Vichi, Francesca, Antonio Di Biagio, Marco Berruti, et al.. (2021). General Practitioners as partners for a shared management of chronic HIV infection: An insight into the perspectives of Italian People Living with HIV. PLoS ONE. 16(7). e0254404–e0254404. 1 indexed citations
15.
Mussi, Rosa Di, Savino Spadaro, Carlo Alberto Volta, et al.. (2020). Continuous assessment of neuro-ventilatory drive during 12 h of pressure support ventilation in critically ill patients. Critical Care. 24(1). 652–652. 17 indexed citations
16.
Natalini, Giuseppe, Anna Maria Granato, Luigi Pisani, et al.. (2020). Non-invasive assessment of respiratory muscle activity during pressure support ventilation: accuracy of end-inspiration occlusion and least square fitting methods. Journal of Clinical Monitoring and Computing. 35(4). 913–921. 10 indexed citations
17.
Gennaro, Francesco Di, Luigi Pisani, Nicola Veronese, et al.. (2018). Potential Diagnostic Properties of Chest Ultrasound in Thoracic Tuberculosis—A Systematic Review. International Journal of Environmental Research and Public Health. 15(10). 2235–2235. 34 indexed citations
18.
Leopold, Stije J., Aniruddha Ghose, Katherine Plewes, et al.. (2018). Point-of-care lung ultrasound for the detection of pulmonary manifestations of malaria and sepsis: An observational study. PLoS ONE. 13(12). e0204832–e0204832. 24 indexed citations
19.
Pisani, Luigi, Fabienne D. Simonis, Laura R. A. Schouten, et al.. (2017). Risk stratification using SpO2/FiO2 and PEEP at initial ARDS diagnosis and after 24 h in patients with moderate or severe ARDS. Annals of Intensive Care. 7(1). 108–108. 26 indexed citations
20.
Balconi, Michela, et al.. (2012). Top-down strategy in rehabilitation of spatial neglect: how about age effect?. Cognitive Processing. 13(S1). 339–342. 2 indexed citations

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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