Giulia Naïm

408 total citations
8 papers, 22 citations indexed

About

Giulia Naïm is a scholar working on Critical Care and Intensive Care Medicine, Pulmonary and Respiratory Medicine and Infectious Diseases. According to data from OpenAlex, Giulia Naïm has authored 8 papers receiving a total of 22 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Critical Care and Intensive Care Medicine, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Infectious Diseases. Recurrent topics in Giulia Naïm's work include Respiratory Support and Mechanisms (4 papers), Intensive Care Unit Cognitive Disorders (3 papers) and COVID-19 Clinical Research Studies (3 papers). Giulia Naïm is often cited by papers focused on Respiratory Support and Mechanisms (4 papers), Intensive Care Unit Cognitive Disorders (3 papers) and COVID-19 Clinical Research Studies (3 papers). Giulia Naïm collaborates with scholars based in France. Giulia Naïm's co-authors include Isabelle Malissin, Sébastian Voicu, Bruno Mégarbane, Laetitia Sütterlin, Nicolas Deye, Philippe Bonnin, Aymen M’Rad, Aymen Mrad, Bruno Mourvillier and Emmanuelle Guérin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Basic & Clinical Pharmacology & Toxicology and Clinical Toxicology.

In The Last Decade

Giulia Naïm

6 papers receiving 22 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Giulia Naïm France	5	8	8	6	6	4	8	22
Nicolas Serck Belgium	3	17 2.1×	5 0.6×	7 1.2×	2 0.3×	4 1.0×	7	27
Maria Cristina Marini Italy	2	10 1.3×	2 0.3×	7 1.2×	8 1.3×	4 1.0×	2	31
Thomas Devlin United States	4	4 0.5×	2 0.3×	10 1.7×	2 0.3×	9 2.3×	7	31
Marc Amouretti France	2	8 1.0×	17 2.1×	9 1.5×		6 1.5×	3	24
Lucia Gandini Italy	3	3 0.4×	4 0.5×	3 0.5×	2 0.3×		5	22
Michael Wilson United States	2	5 0.6×	7 0.9×	5 0.8×		2 0.5×	4	18
Deepu Peter India	4	17 2.1×	2 0.3×	11 1.8×	4 0.7×	2 0.5×	14	38
Johannes Gebauer Germany	2	7 0.9×	3 0.4×	6 1.0×		5 1.3×	2	20
Mirko Curzi Italy	3	6 0.8×	3 0.4×	3 0.5×		4 1.0×	6	15
Indrani Sardesai United Kingdom	3	10 1.3×	3 0.4×	10 1.7×		3 0.8×	6	25

Countries citing papers authored by Giulia Naïm

Since Specialization

Citations

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

Fields of papers citing papers by Giulia Naïm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Naïm

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

All Works

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8 of 8 papers shown

Naïm, Giulia, Isabelle Malissin, & Bruno Mégarbane. (2023). Cerebral microbleeds in the poisoned patient: An observational magnetic resonance imaging study. Basic & Clinical Pharmacology & Toxicology. 133(6). 770–777. 2 indexed citations

Voicu, Sébastian, Philippe Bonnin, Isabelle Malissin, et al.. (2022). Characteristics of deep vein thrombosis in the critically ill COVID-19 patient – an observational cohort study with Doppler ultrasound measurements. SHILAP Revista de lepidopterología. 4 indexed citations

Sütterlin, Laetitia, Aymen M’Rad, Isabelle Malissin, et al.. (2022). Impact of Early Limitation of Therapeutic Effort in Elderly COVID-19 Patients Admitted to the Intensive Care Unit—A Cohort Study. Journal of Personalized Medicine. 12(9). 1501–1501.

Voicu, Sébastian, Isabelle Malissin, Laetitia Sütterlin, et al.. (2022). Cytological patterns of bronchoalveolar lavage fluid in mechanically ventilated COVID‐19 patients on extracorporeal membrane oxygenation. The Clinical Respiratory Journal. 16(4). 329–334. 4 indexed citations

Naïm, Giulia, Aymen M’Rad, Laetitia Sütterlin, et al.. (2022). Factors associated with prolonged intensive care stay among self-poisoned patients. Clinical Toxicology. 60(9). 997–1005. 4 indexed citations

Voicu, Sébastian, et al.. (2022). Characteristics of deep vein thrombosis in the critically ill COVID-19 patient - an observational cohort study with Doppler ultrasound measurements.. PubMed. 26(2). 686–694. 4 indexed citations

Voicu, Sébastian, Antoine Goury, Isabelle Malissin, et al.. (2021). Dismal Survival in COVID-19 Patients Requiring ECMO as Rescue Therapy after Corticosteroid Failure. Journal of Personalized Medicine. 11(11). 1238–1238. 4 indexed citations

Voicu, Sébastian, Isabelle Malissin, Caroline A. Grant, et al.. (2021). Outcome of Critically Ill COVID-19 Patients According to the Setting of Corticosteroid Initiation—A Retrospective Observational Cohort Study. Journal of Personalized Medicine. 11(12). 1359–1359.

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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