Massimo Ferluga

1.2k total citations
16 papers, 296 citations indexed

About

Massimo Ferluga is a scholar working on Pulmonary and Respiratory Medicine, Anesthesiology and Pain Medicine and Emergency Medicine. According to data from OpenAlex, Massimo Ferluga has authored 16 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 6 papers in Anesthesiology and Pain Medicine and 4 papers in Emergency Medicine. Recurrent topics in Massimo Ferluga's work include Respiratory Support and Mechanisms (12 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers) and Airway Management and Intubation Techniques (5 papers). Massimo Ferluga is often cited by papers focused on Respiratory Support and Mechanisms (12 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers) and Airway Management and Intubation Techniques (5 papers). Massimo Ferluga collaborates with scholars based in Italy, Brazil and Spain. Massimo Ferluga's co-authors include Umberto Lucangelo, Walter A. Zin, Giorgio Berlot, Lluís Blanch, Vittorio Antonaglia, Massimo Borelli, Alberto Peratoner, Agostino Accardo, Erik Roman‐Pognuz and Monica Bianchi and has published in prestigious journals such as Critical Care Medicine, Intensive Care Medicine and Physiological Measurement.

In The Last Decade

Massimo Ferluga

16 papers receiving 293 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Massimo Ferluga Italy 9 231 129 79 69 53 16 296
Cyril Sargentini France 8 199 0.9× 67 0.5× 111 1.4× 61 0.9× 31 0.6× 12 288
Lluís Blanch Spain 9 316 1.4× 54 0.4× 128 1.6× 90 1.3× 68 1.3× 14 367
Pierre-Yves Egreteau France 7 145 0.6× 149 1.2× 53 0.7× 70 1.0× 45 0.8× 10 235
A Manfio Italy 5 236 1.0× 55 0.4× 109 1.4× 86 1.2× 43 0.8× 5 333
Sammy Pedram United States 6 129 0.6× 78 0.6× 165 2.1× 71 1.0× 21 0.4× 11 272
Joan-Ramon Masclans Spain 8 177 0.8× 50 0.4× 65 0.8× 30 0.4× 66 1.2× 10 239
Sacha Rozencwajg France 10 238 1.0× 96 0.7× 70 0.9× 111 1.6× 41 0.8× 18 366
Immaculada Vallverdú Spain 5 350 1.5× 83 0.6× 139 1.8× 166 2.4× 56 1.1× 8 404
Francesco Idone Italy 6 403 1.7× 185 1.4× 177 2.2× 98 1.4× 36 0.7× 14 460
Yolanda M. López‐Fernández Spain 8 249 1.1× 21 0.2× 54 0.7× 105 1.5× 92 1.7× 17 302

Countries citing papers authored by Massimo Ferluga

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Ferluga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Ferluga

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

All Works

16 of 16 papers shown
1.
Casagrande, Alberto, et al.. (2020). An effective pressure–flow characterization of respiratory asynchronies in mechanical ventilation. Journal of Clinical Monitoring and Computing. 35(2). 289–296. 17 indexed citations
2.
Lucangelo, Umberto, et al.. (2020). On some factors determining the pressure drop across tracheal tubes during high-frequency percussive ventilation: a flow-independent model. Journal of Clinical Monitoring and Computing. 35(4). 885–890. 1 indexed citations
3.
Ferluga, Massimo, Umberto Lucangelo, & Lluís Blanch. (2018). Dead space in acute respiratory distress syndrome. Annals of Translational Medicine. 6(19). 388–388. 27 indexed citations
4.
Berlot, Giorgio, et al.. (2018). Uncommon Occurrences of Air Embolism: Description of Cases and Review of the Literature. Case Reports in Critical Care. 2018. 1–7. 7 indexed citations
5.
Ajčević, Miloš, Umberto Lucangelo, Massimo Ferluga, Walter A. Zin, & Agostino Accardo. (2014). In vitroestimation of pressure drop across tracheal tubes during high-frequency percussive ventilation. Physiological Measurement. 35(2). 177–188. 4 indexed citations
6.
Lucangelo, Umberto, et al.. (2013). End-tidal versus manually-controlled low-flow anaesthesia. Journal of Clinical Monitoring and Computing. 28(2). 117–121. 15 indexed citations
7.
Berlot, Giorgio, M. Vassallo, Monica Bianchi, et al.. (2013). Relationship Between the Timing of Administration of IgM and IgA Enriched Immunoglobulins in Patients With Severe Sepsis and Septic Shock and the Outcome. Survey of Anesthesiology. 57(1). 7–8. 1 indexed citations
8.
Antonaglia, Vittorio, et al.. (2012). Respiratory mechanics in COPD patients who failed non-invasive ventilation: Role of intrinsic PEEP. Respiratory Physiology & Neurobiology. 184(1). 35–40. 6 indexed citations
9.
Lucangelo, Umberto, et al.. (2012). High-Flow Nasal Interface Improves Oxygenation in Patients Undergoing Bronchoscopy. Critical Care Research and Practice. 2012. 1–6. 96 indexed citations
10.
Antonaglia, Vittorio, Massimo Ferluga, Umberto Lucangelo, et al.. (2011). Comparison of Noninvasive Ventilation by Sequential Use of Mask and Helmet versus Mask in Acute Exacerbation of Chronic Obstructive Pulmonary Disease: A Preliminary Study. Respiration. 82(2). 148–154. 26 indexed citations
11.
Berlot, Giorgio, M. Vassallo, Monica Bianchi, et al.. (2011). Relationship between the timing of administration of IgM and IgA enriched immunoglobulins in patients with severe sepsis and septic shock and the outcome: A retrospective analysis. Journal of Critical Care. 27(2). 167–171. 41 indexed citations
12.
Lucangelo, Umberto, Walter A. Zin, Vittorio Antonaglia, et al.. (2011). Early Short-Term Application of High-Frequency Percussive Ventilation Improves Gas Exchange in Hypoxemic Patients. Respiration. 84(5). 369–376. 10 indexed citations
13.
Lucangelo, Umberto, et al.. (2011). In vitromeasurements of respiratory mechanics during HFPV using a mechanical lung model. Physiological Measurement. 32(6). 637–648. 5 indexed citations
14.
Lucangelo, Umberto, Agostino Accardo, Alessandro Bernardi, et al.. (2010). Gas distribution in a two-compartment model ventilated in high-frequency percussive and pressure-controlled modes. Intensive Care Medicine. 36(12). 2125–2131. 13 indexed citations
15.
Antonaglia, Vittorio, et al.. (2010). Gas distribution in a two-compartment model during volume or pressure ventilation: Role of elastic elements. Respiratory Physiology & Neurobiology. 171(3). 225–231. 3 indexed citations
16.
Lucangelo, Umberto, Vittorio Antonaglia, Walter A. Zin, et al.. (2009). High-frequency percussive ventilation improves perioperatively clinical evolution in pulmonary resection*. Critical Care Medicine. 37(5). 1663–1669. 24 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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