Giulia Maj

27 papers receiving 703 citations

Peers

Giulia Maj
Comparison fields: 5 of 72
  • Critical Care and Intensive Care Medicine 78
  • Emergency Medicine 115
  • Nephrology 74
  • Cardiology and Cardiovascular Medicine 223
  • Internal Medicine 26
Replace Julien Amour with:
Julien Amour France
Luc Puis Belgium
Robert A. Niebler United States
Nathaen Weitzel United States
Mauro Cotza Italy
Frank Merkle Germany
Poonam Malhotra Kapoor India
Giovanna Occhipinti Italy
Vajubhai T. Sanchala United States
Aleksandar Nikolić Serbia
Giulia Maj relative to Julien Amour France Julien Amour's profile →
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Citations per year

Countries citing papers authored by Giulia Maj

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Maj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Giulia Maj, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Giulia Maj Line = papers co-authored together Giulia Maj links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Meta-analysis of Randomized Clinical Trials
2008126
2 200899
3 200798
4 200962
5 201243
6 201639
7 201539
8 200933
9 202131
10 200830
11 200827
12 200920
13 201017
14 201316
15
Management strategies in venovenous extracorporeal membrane oxygenation: a retrospective comparison from five European centres.
201715
16 20238
17 20118
18 20227
19 20226
20 20236

About Giulia Maj

Giulia Maj is a scholar working on Surgery, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Emergency Medicine and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 742 indexed citations. Recurring topics across this work include Mechanical Circulatory Support Devices (9 papers), Hemodynamic Monitoring and Therapy (4 papers), Cardiac Arrest and Resuscitation (4 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Cardiac Structural Anomalies and Repair (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Aortic Disease and Treatment Approaches (2 papers) and Heart Failure Treatment and Management (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (78 citations), Emergency Medicine (115 citations), Nephrology (74 citations), Cardiology and Cardiovascular Medicine (223 citations) and Internal Medicine (26 citations). Giulia Maj has collaborated with scholars based in Italy, United States and Canada. Frequent co-authors include Alberto Zangrillo, Giovanni Landoni, Federico Pappalardo, Oliviero Fochi, Giuseppe Biondi‐Zoccai, Marco Ranucci, Elena Bignami, Massimiliano Nuzzi, Giuseppe Crescenzi and Maria Grazia Calabró. Their work appears in journals such as Journal of Cardiothoracic and Vascular Anesthesia, European Journal of Heart Failure, Journal of Thoracic and Cardiovascular Surgery, Critical Care Medicine and Journal of Clinical Medicine.

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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