Susannah Leaver

2.3k total citations
9 papers, 88 citations indexed

About

Susannah Leaver is a scholar working on Geriatrics and Gerontology, Physiology and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Susannah Leaver has authored 9 papers receiving a total of 88 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Geriatrics and Gerontology, 5 papers in Physiology and 4 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Susannah Leaver's work include Frailty in Older Adults (5 papers), Intensive Care Unit Cognitive Disorders (4 papers) and Nutrition and Health in Aging (3 papers). Susannah Leaver is often cited by papers focused on Frailty in Older Adults (5 papers), Intensive Care Unit Cognitive Disorders (4 papers) and Nutrition and Health in Aging (3 papers). Susannah Leaver collaborates with scholars based in Netherlands, France and Norway. Susannah Leaver's co-authors include Dylan W. de Lange, Michael Beil, Sigal Sviri, Hans Flaatten, Christian Jung, Bertrand Guidet, Wojciech Szczeklik, Hélène Vallet, Ariane Boumendil and Danielle E. Bear and has published in prestigious journals such as Scientific Reports, Critical Care Medicine and Intensive Care Medicine.

In The Last Decade

Susannah Leaver

9 papers receiving 88 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susannah Leaver Netherlands 6 28 27 27 17 17 9 88
Neus Guasch Spain 5 7 0.3× 21 0.8× 22 0.8× 23 1.4× 27 1.6× 5 114
Christopher Thorpe United Kingdom 4 31 1.1× 22 0.8× 14 0.5× 37 2.2× 24 1.4× 6 111
Krzysztof Rewiuk Poland 9 15 0.5× 28 1.0× 19 0.7× 11 0.6× 7 0.4× 22 177
Andrea Cradduck-Bamford United Kingdom 5 70 2.5× 13 0.5× 20 0.7× 8 0.5× 10 0.6× 5 130
Charlotte Salmon-Gandonnière France 3 8 0.3× 65 2.4× 26 1.0× 6 0.4× 7 0.4× 3 96
Jean-Étienne Herbrecht France 4 14 0.5× 17 0.6× 35 1.3× 31 1.8× 3 0.2× 8 88
M. Stotz United Kingdom 5 7 0.3× 25 0.9× 20 0.7× 19 1.1× 13 0.8× 5 114
Ana Laura González Argentina 5 3 0.1× 44 1.6× 21 0.8× 16 0.9× 14 0.8× 8 107
Anthony Wolff United Kingdom 5 6 0.2× 11 0.4× 14 0.5× 11 0.6× 17 1.0× 7 100
Ralph K. L. So Netherlands 4 26 0.9× 9 0.3× 22 0.8× 16 0.9× 3 0.2× 6 75

Countries citing papers authored by Susannah Leaver

Since Specialization
Citations

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

Fields of papers citing papers by Susannah Leaver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susannah Leaver

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

All Works

9 of 9 papers shown
1.
Bruno, Raphael Romano, Bertrand Guidet, Susannah Leaver, et al.. (2024). Sublingual microcirculatory assessment on admission independently predicts the outcome of old intensive care patients suffering from shock. Scientific Reports. 14(1). 25668–25668. 2 indexed citations
2.
Guidet, Bertrand, Hélène Vallet, Hans Flaatten, et al.. (2024). The trajectory of very old critically ill patients. Intensive Care Medicine. 50(2). 181–194. 19 indexed citations
3.
Wernly, Bernhard, Raphael Romano Bruno, Michael Beil, et al.. (2023). Frailty’s influence on 30-day mortality in old critically ill ICU patients: a bayesian analysis evaluating the clinical frailty scale. Annals of Intensive Care. 13(1). 126–126. 8 indexed citations
4.
Vallet, Hélène, Bertrand Guidet, Ariane Boumendil, et al.. (2023). The impact of age-related syndromes on ICU process and outcomes in very old patients. Annals of Intensive Care. 13(1). 68–68. 33 indexed citations
5.
Compher, Charlene, Danielle E. Bear, Pedro Gutiérrez‐Castrellón, et al.. (2023). A Comparison of High and Usual Protein Dosing in Critically Ill Patients With Obesity: A Post Hoc Analysis of an International, Pragmatic, Single-Blinded, Randomized Clinical Trial*. Critical Care Medicine. 52(4). 586–595. 9 indexed citations
6.
Lonsdale, D, Helen Farrah, Sarah Farnell-Ward, et al.. (2022). The clinical frailty scale – does it predict outcome of the very-old in UK ICUs?. Journal of the Intensive Care Society. 24(2). 154–161. 5 indexed citations
7.
Heerden, Peter Vernon van, Sigal Sviri, Michael Beil, et al.. (2020). The wave of very old people in the intensive care unit–A challenge in decision-making. Journal of Critical Care. 60. 290–293. 9 indexed citations
8.
Leaver, Susannah, et al.. (2018). Sleep disorders. Medicine. 46(12). 767–773. 1 indexed citations
9.
Bacon, Jenny, et al.. (2013). The Diagnosis of Large Airway Pathology and the Role of Rigid Bronchoscopy. Current Respiratory Medicine Reviews. 9(1). 11–25. 2 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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