Matthew Anstey

3.9k total citations · 2 hit papers
79 papers, 1.5k citations indexed

About

Matthew Anstey is a scholar working on General Health Professions, Critical Care and Intensive Care Medicine and Radiological and Ultrasound Technology. According to data from OpenAlex, Matthew Anstey has authored 79 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in General Health Professions, 18 papers in Critical Care and Intensive Care Medicine and 16 papers in Radiological and Ultrasound Technology. Recurrent topics in Matthew Anstey's work include Intensive Care Unit Cognitive Disorders (16 papers), Family and Patient Care in Intensive Care Units (16 papers) and Sepsis Diagnosis and Treatment (15 papers). Matthew Anstey is often cited by papers focused on Intensive Care Unit Cognitive Disorders (16 papers), Family and Patient Care in Intensive Care Units (16 papers) and Sepsis Diagnosis and Treatment (15 papers). Matthew Anstey collaborates with scholars based in Australia, United States and New Zealand. Matthew Anstey's co-authors include Imogen Mitchell, Magnolia Cardona, Ken Hillman, Richard M. Turner, J. Kim, Bradley Wibrow, Daniel Talmor, Edward Litton, Thomas Peponis and Karen Waak and has published in prestigious journals such as The Lancet, PLoS ONE and BMJ.

In The Last Decade

Matthew Anstey

71 papers receiving 1.5k citations

Hit Papers

Early, goal-directed mobilisation in the surgical intensi... 2016 2026 2019 2022 2016 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Anstey Australia 17 631 357 305 284 273 79 1.5k
Tara Quasim United Kingdom 23 814 1.3× 213 0.6× 479 1.6× 121 0.4× 298 1.1× 93 1.6k
Simon Oczkowski Canada 17 646 1.0× 514 1.4× 310 1.0× 222 0.8× 249 0.9× 57 2.9k
Craig Dale Canada 20 493 0.8× 276 0.8× 419 1.4× 220 0.8× 105 0.4× 85 1.3k
Erwin Ista Netherlands 28 1.4k 2.3× 215 0.6× 543 1.8× 261 0.9× 188 0.7× 126 2.7k
Julie Benbenishty Israel 16 456 0.7× 405 1.1× 203 0.7× 220 0.8× 985 3.6× 41 2.0k
Cassiano Teixeira Brazil 19 811 1.3× 210 0.6× 598 2.0× 151 0.5× 222 0.8× 100 1.5k
Marike van der Schaaf Netherlands 24 1.1k 1.7× 187 0.5× 544 1.8× 192 0.7× 174 0.6× 88 1.9k
Aluko A. Hope United States 15 549 0.9× 220 0.6× 300 1.0× 133 0.5× 140 0.5× 48 1.1k
Cédric Bruel France 15 563 0.9× 277 0.8× 463 1.5× 110 0.4× 176 0.6× 46 1.3k
May Hua United States 16 211 0.3× 508 1.4× 321 1.1× 139 0.5× 189 0.7× 64 1.1k

Countries citing papers authored by Matthew Anstey

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Anstey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Anstey

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

All Works

20 of 20 papers shown
1.
2.
Anstey, Matthew, et al.. (2024). Mucosal bleeding while on venovenous extracorporeal membrane oxygenation in the setting of vitamin C deficiency. BMJ Case Reports. 17(6). e259185–e259185.
3.
Anstey, Matthew, et al.. (2023). How often are infusion sets for central venous catheters changed in Australian and New Zealand Intensive Care Units? A point prevalence survey. Australian Critical Care. 37(3). 495–498. 3 indexed citations
4.
Harris, Roger C., et al.. (2022). Everyone’s a winner if we test less: the CODA action plan. Australian Health Review. 46(4). 460–462. 5 indexed citations
5.
Wood, Alexander, Rashmi Rauniyar, Angela Jacques, et al.. (2022). Oral midodrine does not expedite liberation from protracted vasopressor infusions: A case-control study. Anaesthesia and Intensive Care. 51(1). 20–28. 4 indexed citations
6.
Mitchell, Imogen, Matthew Anstey, Caroline Scott, et al.. (2021). Understanding end-of-life care in Australian hospitals. Australian Health Review. 45(5). 540–547. 15 indexed citations
7.
8.
Gershengorn, Hayley B., David Pilcher, Edward Litton, et al.. (2021). Association of patient-to-intensivist ratio with hospital mortality in Australia and New Zealand. Intensive Care Medicine. 48(2). 179–189. 20 indexed citations
9.
Wibrow, Bradley, et al.. (2021). A prospective comparison of peripheral metaraminol versus dilute noradrenaline in the intensive care unit. Anaesthesia and Intensive Care. 49(2). 144–146. 4 indexed citations
10.
Anstey, Matthew, Imogen Mitchell, Charlie Corke, et al.. (2021). Intensive care doctors and nurses personal preferences for Intensive Care, as compared to the general population: a discrete choice experiment. Critical Care. 25(1). 287–287. 4 indexed citations
11.
Anstey, Matthew, Imogen Mitchell, Charlie Corke, & Richard Norman. (2020). Population Preferences for Treatments When Critically Ill: A Discrete Choice Experiment. Patient. 13(3). 339–346. 6 indexed citations
12.
Cardona, Magnolia, et al.. (2020). Appropriateness of intensive care treatments near the end of life during the COVID-19 pandemic. Breathe. 16(2). 200062–200062. 13 indexed citations
14.
Anstey, Matthew, Edward Litton, Michelle Trevenen, et al.. (2019). The prevalence of perceptions of mismatch between treatment intensity and achievable goals of care in the intensive care unit: a cross-sectional study. Intensive Care Medicine. 45(4). 459–467. 4 indexed citations
15.
Anstey, Matthew, et al.. (2018). Anabolic Steroid Use for Weight and Strength Gain in Critically Ill Patients: A Case Series and Review of the Literature. Case Reports in Critical Care. 2018. 1–6. 9 indexed citations
16.
Udy, Andrew, Sacha Schweikert, James Anstey, et al.. (2017). Critical care management of aneurysmal subarachnoid haemorrhage in Australia and New Zealand: what are we doing, and where to from here?. Critical Care and Resuscitation. 19(2). 103–109. 4 indexed citations
17.
Anstey, Matthew, et al.. (2017). Approaches to appropriate care delivery from a policy perspective: A case study of Australia, England and Switzerland. Health Policy. 121(7). 770–777. 9 indexed citations
18.
Roberts, Brigit, et al.. (2016). Routine coagulation testing in intensive care. Critical Care and Resuscitation. 18(3). 213–217. 14 indexed citations
19.
Norman, Richard, et al.. (2016). Incidence and cost of stress ulcer prophylaxis after discharge from the intensive care unit: a retrospective study. Critical Care and Resuscitation. 18(4). 270–274. 6 indexed citations
20.
Richards, Stephen B., et al.. (2016). Determinants of 6-month survival of critically ill patients with an active hematologic malignancy. Journal of Critical Care. 36. 252–258. 9 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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