Daniel Mullany

61 papers receiving 1.5k citations

Peers

Daniel Mullany
Comparison fields: 5 of 81
  • Critical Care and Intensive Care Medicine 173
  • Emergency Medicine 289
  • Biochemistry 156
  • Anesthesiology and Pain Medicine 86
  • Pharmacology 255
Replace Keith G. Hickling with:
Keith G. Hickling New Zealand
D. R. Goldhill United Kingdom
Shane M. Tibby United Kingdom
Antonio Arcadipane Italy
Margreeth B. Vroom Netherlands
Murat Yılmaz Türkiye
María L. Mora Spain
Thomas L. Higgins United States
Vincent Piriou France
Carlos Romero Chile
Daniel Mullany relative to Keith G. Hickling New Zealand Keith G. Hickling's profile →
Citations per field
00.5×
Keith G. Hickling · 1×
Citations per year

Countries citing papers authored by Daniel Mullany

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Mullany

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Mullany, 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 Daniel Mullany Line = papers co-authored together Daniel Mullany links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015184
2 2011125
3 2012122
4 2014113
5 201479
6 201277
7 201271
8 200259
9 200852
10 201744
11 201539
12 201237
13 200736
14 201033
15 200932
16 200630
17 201230
18 201124
19
Sedation during extracorporeal membrane oxygenation-why more is less.
201223
20 200622

About Daniel Mullany

Daniel Mullany is a scholar working on Biomedical Engineering, Surgery, Emergency Medicine, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 66 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mechanical Circulatory Support Devices (21 papers), Cardiac Arrest and Resuscitation (14 papers), Cardiac, Anesthesia and Surgical Outcomes (8 papers), Cardiac Structural Anomalies and Repair (7 papers), Blood transfusion and management (5 papers), Transplantation: Methods and Outcomes (4 papers), Venous Thromboembolism Diagnosis and Management (3 papers) and Respiratory Support and Mechanisms (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (173 citations), Emergency Medicine (289 citations), Biochemistry (156 citations), Anesthesiology and Pain Medicine (86 citations) and Pharmacology (255 citations). Daniel Mullany has collaborated with scholars based in Australia, New Zealand and United Kingdom. Frequent co-authors include John F. Fraser, Kiran Shekar, Jason A. Roberts, D. Platts, Steven C. Wallis, Balu Bhaskar, Marc Ziegenfuss, Yoke Lin Fung, Joel M. Dulhunty and D. Burstow. Their work appears in journals such as Critical Care and Resuscitation, Anaesthesia and Intensive Care, Critical Care, Journal of Thoracic and Cardiovascular Surgery and The Annals of Thoracic Surgery.

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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