John Kinsella

6.2k total citations
152 papers, 3.0k citations indexed

About

John Kinsella is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, John Kinsella has authored 152 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Surgery, 32 papers in Cardiology and Cardiovascular Medicine and 30 papers in Epidemiology. Recurrent topics in John Kinsella's work include Cardiac, Anesthesia and Surgical Outcomes (22 papers), Anesthesia and Pain Management (17 papers) and Intensive Care Unit Cognitive Disorders (14 papers). John Kinsella is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (22 papers), Anesthesia and Pain Management (17 papers) and Intensive Care Unit Cognitive Disorders (14 papers). John Kinsella collaborates with scholars based in United Kingdom, United States and Ireland. John Kinsella's co-authors include Tara Quasim, Donald C. McMillan, Dinesh Talwar, J. Harten, D S O’Reilly, Richard Appleton, Andrew Duncan, Kathryn Puxty, Philip McLoone and David Morrison and has published in prestigious journals such as The Lancet, PLoS ONE and American Journal of Psychiatry.

In The Last Decade

John Kinsella

143 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Kinsella United Kingdom 30 716 612 505 505 422 152 3.0k
Edward A. Bittner United States 36 1.0k 1.4× 914 1.5× 649 1.3× 1.1k 2.2× 904 2.1× 164 3.9k
Michael W. Donnino United States 35 788 1.1× 1.3k 2.1× 1.2k 2.3× 755 1.5× 314 0.7× 91 5.6k
Tero Ala‐Kokko Finland 36 719 1.0× 1.0k 1.6× 1.3k 2.6× 1.0k 2.0× 225 0.5× 198 4.2k
Lars W. Andersen Denmark 41 888 1.2× 1.6k 2.6× 1.2k 2.4× 879 1.7× 266 0.6× 168 6.1k
Corey M. Slovis United States 31 577 0.8× 553 0.9× 441 0.9× 574 1.1× 121 0.3× 103 3.4k
Thiérry Ducruet Canada 34 995 1.4× 567 0.9× 1.3k 2.5× 665 1.3× 85 0.2× 135 5.3k
Gilles Capellier France 34 1.4k 2.0× 700 1.1× 822 1.6× 873 1.7× 219 0.5× 153 4.1k
Gianluca Villa Italy 25 1.2k 1.7× 1.3k 2.1× 965 1.9× 640 1.3× 130 0.3× 126 5.9k
Yannick Mallédant France 32 714 1.0× 985 1.6× 779 1.5× 680 1.3× 215 0.5× 140 3.2k
Phil Alderson United Kingdom 25 392 0.5× 609 1.0× 374 0.7× 924 1.8× 213 0.5× 42 2.8k

Countries citing papers authored by John Kinsella

Since Specialization
Citations

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

Fields of papers citing papers by John Kinsella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Kinsella

This figure shows the co-authorship network connecting the top 25 collaborators of John Kinsella. A scholar is included among the top collaborators of John Kinsella 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 John Kinsella. John Kinsella 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.
Shaw, Martin, Laura Moss, Christopher Hawthorne, John Kinsella, & Ian Piper. (2018). Investigation of the Relationship Between the Burden of Raised ICP and the Length of Stay in a Neuro-Intensive Care Unit. Acta neurochirurgica. Supplementum. 126. 205–208. 3 indexed citations
2.
Docherty, Annemarie B, Malcolm Sim, Marlies Ostermann, et al.. (2017). Early troponin I in critical illness and its association with hospital mortality: a cohort study. Critical Care. 21(1). 216–216. 22 indexed citations
3.
MacTavish, Pamela, et al.. (2016). Musculoskeletal problems in intensive care unit patients post discharge. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1 indexed citations
4.
Moss, Laura, Martin Shaw, Ian Piper, Christopher Hawthorne, & John Kinsella. (2016). Apache Spark for the Analysis of High Frequency Neurointensive Care Unit Data: Preliminary Comparison of Scala vs. R. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1 indexed citations
5.
McPeake, Joanne, Martin Shaw, Ewan Forrest, et al.. (2015). Do alcohol use disorders impact on long term outcomes from intensive care?. Critical Care. 19(1). 185–185. 22 indexed citations
6.
Kinsella, John, et al.. (2014). Pharmacological management of pain in chronic pancreatitis. Scottish Medical Journal. 59(1). 71–79. 8 indexed citations
7.
Grando, Adela, Laura Moss, Derek Sleeman, & John Kinsella. (2013). Argumentation-logic for creating and explaining medical hypotheses. Artificial Intelligence in Medicine. 58(1). 1–13. 15 indexed citations
8.
Macfarlane, Alan, Rachel Kearns, Emma Aitken, John Kinsella, & Marc Clancy. (2013). Does regional compared to local anaesthesia influence outcome after arteriovenous fistula creation?. Trials. 14(1). 263–263. 14 indexed citations
9.
Sleeman, Derek, et al.. (2012). INSIGHT: Helping domain experts make their knowledge more consistent. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1 indexed citations
10.
11.
Mackay, A, et al.. (2010). Co-morbidity, demographic and social factors as predictors of outcome from intensive care: an observational cohort study. Critical Care. 14(Suppl 1). P429–P429. 2 indexed citations
12.
McMillan, Donald C., et al.. (2010). Relation between riboflavin, flavin mononucleotide and flavin adenine dinucleotide concentrations in plasma and red cells in patients with critical illness. Clinica Chimica Acta. 411(21-22). 1750–1755. 24 indexed citations
13.
Sim, Malcolm A. B., et al.. (2009). Confusion matrices to refine a novel scoring system for cardiovascular instability in intensive care. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1 indexed citations
14.
Johnson, Martin, Malcolm Birch, R. Carter, John Kinsella, & Robin Stevenson. (2005). Use of reactance to estimate transpulmonary resistance. European Respiratory Journal. 25(6). 1061–1069. 20 indexed citations
15.
Walsh, Timothy, Magnus Garrioch, Caroline R. Maciver, et al.. (2004). Red cell requirements for intensive care units adhering to evidence‐based transfusion guidelines. Transfusion. 44(10). 1405–1411. 59 indexed citations
16.
Harten, J., B. McCreath, John Kinsella, et al.. (2003). Oxygen delivery failure. Anaesthesia. 58(2). 190–191.
17.
Harten, J., B. McCreath, John Kinsella, et al.. (2003). Making herbal medicines safe. Anaesthesia. 58(2). 184–185. 1 indexed citations
18.
Kinsella, John, et al.. (1998). Influence of timing of morphine administration on postoperative pain and analgesic consumption. British Journal of Anaesthesia. 81(3). 373–376. 18 indexed citations
19.
Glynn, Chris, et al.. (1996). A comparison of ibuprofen arginine with morphine sulphate for pain relief after orthopaedic surgery. European Journal of Anaesthesiology. 13(5). 492–497. 10 indexed citations
20.
Clark, C., et al.. (1988). Lung function abnormalities and the role of physiological assessment in the management of patients after fire trauma. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1 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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