Margot Green

1.2k total citations
10 papers, 365 citations indexed

About

Margot Green is a scholar working on Critical Care and Intensive Care Medicine, Radiological and Ultrasound Technology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Margot Green has authored 10 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Critical Care and Intensive Care Medicine, 7 papers in Radiological and Ultrasound Technology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Margot Green's work include Intensive Care Unit Cognitive Disorders (9 papers), Family and Patient Care in Intensive Care Units (7 papers) and Respiratory Support and Mechanisms (6 papers). Margot Green is often cited by papers focused on Intensive Care Unit Cognitive Disorders (9 papers), Family and Patient Care in Intensive Care Units (7 papers) and Respiratory Support and Mechanisms (6 papers). Margot Green collaborates with scholars based in Australia and Belgium. Margot Green's co-authors include Bernie Bissett, Imogen Mitchell, I. Anne Leditschke, Frank van Haren, Teresa Neeman, Jiali Wang, Jennifer Paratz, Robert Boots, Keith Cohn and Steven Goldman and has published in prestigious journals such as The American Journal of Cardiology, Heart & Lung and Intensive and Critical Care Nursing.

In The Last Decade

Margot Green

10 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Margot Green Australia 8 285 167 146 56 43 10 365
Hendrik Mende Germany 7 285 1.0× 131 0.8× 174 1.2× 71 1.3× 28 0.7× 27 374
Amy Toonstra United States 10 365 1.3× 130 0.8× 199 1.4× 72 1.3× 52 1.2× 16 477
Firuzan Sari Kundt Austria 6 214 0.8× 84 0.5× 107 0.7× 48 0.9× 32 0.7× 8 295
Heidi J. Engel United States 5 237 0.8× 86 0.5× 135 0.9× 53 0.9× 25 0.6× 7 288
Silke Filipovic Germany 4 246 0.9× 157 0.9× 146 1.0× 62 1.1× 15 0.3× 5 339
I. Anne Leditschke Australia 12 246 0.9× 258 1.5× 110 0.8× 29 0.5× 53 1.2× 21 481
Earl Mantheiy United States 8 269 0.9× 106 0.6× 127 0.9× 61 1.1× 36 0.8× 11 336
Evelyn Corner United Kingdom 11 312 1.1× 221 1.3× 116 0.8× 29 0.5× 53 1.2× 19 493
Daniela Dettling-Ihnenfeldt Netherlands 10 391 1.4× 163 1.0× 152 1.0× 63 1.1× 49 1.1× 13 477
N. Fauvel United Kingdom 5 242 0.8× 120 0.7× 139 1.0× 71 1.3× 20 0.5× 5 392

Countries citing papers authored by Margot Green

Since Specialization
Citations

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

Fields of papers citing papers by Margot Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margot Green

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

All Works

10 of 10 papers shown
1.
Bissett, Bernie, I. Anne Leditschke, Teresa Neeman, et al.. (2022). Does mechanical threshold inspiratory muscle training promote recovery and improve outcomes in patients who are ventilator-dependent in the intensive care unit? The IMPROVE randomised trial. Australian Critical Care. 36(4). 613–621. 14 indexed citations
2.
Gosselink, Rik, et al.. (2021). Inspiratory muscle training in intensive care unit patients: An international cross-sectional survey of physiotherapist practice. Australian Critical Care. 35(5). 527–534. 5 indexed citations
3.
4.
Green, Margot, et al.. (2018). Mobilisation is feasible in intensive care patients receiving vasoactive therapy: An observational study. Australian Critical Care. 32(2). 139–146. 22 indexed citations
5.
Bissett, Bernie, et al.. (2018). Inspiratory muscle training for intensive care patients: A multidisciplinary practical guide for clinicians. Australian Critical Care. 32(3). 249–255. 59 indexed citations
6.
Green, Margot, et al.. (2016). Mobilization of intensive care patients: a multidisciplinary practical guide for clinicians. Journal of Multidisciplinary Healthcare. 9. 247–247. 66 indexed citations
7.
Bissett, Bernie, Margot Green, I. Anne Leditschke, et al.. (2015). Reliability and utility of the Acute Care Index of Function in intensive care patients: An observational study. Heart & Lung. 45(1). 10–14. 8 indexed citations
8.
Bissett, Bernie, I. Anne Leditschke, & Margot Green. (2012). Specific inspiratory muscle training is safe in selected patients who are ventilator-dependent: A case series. Intensive and Critical Care Nursing. 28(2). 98–104. 30 indexed citations
9.
Green, Margot, et al.. (2012). What Are the Barriers to Mobilizing Intensive Care Patients?. Cardiopulmonary Physical Therapy Journal. 23(1). 26–29. 125 indexed citations
10.
Goldman, Steven, Peter Probst, Margot Green, & Keith Cohn. (1975). Inefficacy of “therapeutic” serum levels of digoxin in controlling the ventricular rate in atrial fibrillation. The American Journal of Cardiology. 35(1). 140–140. 7 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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