Caroline Gerrard

1.4k total citations
18 papers, 530 citations indexed

About

Caroline Gerrard is a scholar working on Biochemistry, Surgery and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Caroline Gerrard has authored 18 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biochemistry, 8 papers in Surgery and 8 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Caroline Gerrard's work include Blood transfusion and management (12 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (8 papers) and Cardiac Arrest and Resuscitation (7 papers). Caroline Gerrard is often cited by papers focused on Blood transfusion and management (12 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (8 papers) and Cardiac Arrest and Resuscitation (7 papers). Caroline Gerrard collaborates with scholars based in United Kingdom, Australia and Spain. Caroline Gerrard's co-authors include Alain Vuylsteke, Samer A.M. Nashef, A. A. Klein, Kimberley Goldsmith, Cliff K. Choong, Martin Besser, Linda Sharples, Christina Pagel, Martin Utley and David P. Jenkins and has published in prestigious journals such as Anesthesia & Analgesia, The Annals of Thoracic Surgery and Journal of Thrombosis and Haemostasis.

In The Last Decade

Caroline Gerrard

18 papers receiving 515 citations

Peers

Caroline Gerrard
Mohandas Jayarajah United Kingdom
Peter McCall Australia
Gail F. Bell United States
Mohandas Jayarajah United Kingdom
Caroline Gerrard
Citations per year, relative to Caroline Gerrard Caroline Gerrard (= 1×) peers Mohandas Jayarajah

Countries citing papers authored by Caroline Gerrard

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Gerrard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Gerrard

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

All Works

18 of 18 papers shown
1.
Sénage, Thomas, Caroline Gerrard, Narain Moorjani, David P. Jenkins, & Jason M. Ali. (2021). Early postoperative bleeding impacts long-term survival following first-time on-pump coronary artery bypass grafting. Journal of Thoracic Disease. 13(10). 5670–5682. 3 indexed citations
2.
Ali, Jason M., Caroline Gerrard, James Clayton, & Narain Moorjani. (2020). Hemostasis Checklist Reduces Bleeding and Blood Product Consumption After Cardiac Surgery. The Annals of Thoracic Surgery. 111(5). 1570–1577. 5 indexed citations
3.
Zochios, Vasileios, Joht Singh Chandan, Marcus J. Schultz, et al.. (2019). The Effects of Escalation of Respiratory Support and Prolonged Invasive Ventilation on Outcomes of Cardiac Surgical Patients: A Retrospective Cohort Study. Journal of Cardiothoracic and Vascular Anesthesia. 34(5). 1226–1234. 8 indexed citations
4.
Gibbens, Richard, et al.. (2018). Prediction of Patient Length of Stay on the Intensive Care Unit Following Cardiac Surgery: A Logistic Regression Analysis Based on the Cardiac Operative Mortality Risk Calculator, EuroSCORE. Journal of Cardiothoracic and Vascular Anesthesia. 32(6). 2676–2682. 33 indexed citations
5.
Blaudszun, Grégoire, et al.. (2018). The association between borderline pre‐operative anaemia in women and outcomes after cardiac surgery: a cohort study. Anaesthesia. 73(5). 572–578. 39 indexed citations
6.
Ali, Jason M., Caroline Gerrard, James Clayton, & Narain Moorjani. (2018). Reduced re-exploration and blood product transfusion after the introduction of the Papworth haemostasis checklist†. European Journal of Cardio-Thoracic Surgery. 55(4). 729–736. 9 indexed citations
7.
Cunningham, David, et al.. (2016). Agreement between ACT and aPTT during extracorporeal membrane oxygenation shows intra- and inter-individual variation. Perfusion. 31(6). 503–507. 20 indexed citations
8.
Ortmann, Erik, Martin Besser, Linda Sharples, et al.. (2015). An Exploratory Cohort Study Comparing Prothrombin Complex Concentrate and Fresh Frozen Plasma for the Treatment of Coagulopathy After Complex Cardiac Surgery. Anesthesia & Analgesia. 121(1). 26–33. 67 indexed citations
9.
Videla, Sebastián, et al.. (2015). Acute Pain and Analgesic Requirements After Pulmonary Endarterectomy With Deep Hypothermic Circulatory Arrest. Journal of Cardiothoracic and Vascular Anesthesia. 30(4). 993–996. 6 indexed citations
10.
Yang, Lucy, Alain Vuylsteke, Caroline Gerrard, Martin Besser, & Trevor Baglin. (2013). Postoperative fibrinogen level is associated with postoperative bleeding following cardiothoracic surgery and the effect of fibrinogen replacement therapy remains uncertain. Journal of Thrombosis and Haemostasis. 11(8). 1519–1526. 31 indexed citations
11.
Mahesh, Balakrishnan, Cliff K. Choong, Kimberley Goldsmith, et al.. (2012). Prolonged Stay in Intensive Care Unit Is a Powerful Predictor of Adverse Outcomes After Cardiac Operations. The Annals of Thoracic Surgery. 94(1). 109–116. 58 indexed citations
12.
Pagel, Christina, et al.. (2011). An operational research approach to identify cardiac surgery patients at risk of severe post-operative bleeding. Health Care Management Science. 14(3). 215–222. 3 indexed citations
13.
Berman, Marius, David Cardone, Linda Sharples, et al.. (2010). Safety and Efficacy of Aprotinin and Tranexamic Acid in Pulmonary Endarterectomy Surgery With Hypothermia: Review of 200 Patients. The Annals of Thoracic Surgery. 90(5). 1432–1436. 24 indexed citations
14.
Vuylsteke, Alain, et al.. (2010). The Papworth Bleeding Risk Score: a stratification scheme for identifying cardiac surgery patients at risk of excessive early postoperative bleeding. European Journal of Cardio-Thoracic Surgery. 39(6). 924–930. 105 indexed citations
15.
Veenith, Tonny, Linda Sharples, Caroline Gerrard, Kamen Valchanov, & Alain Vuylsteke. (2010). Survival and length of stay following blood transfusion in octogenarians following cardiac surgery. Anaesthesia. 65(4). 331–336. 30 indexed citations
16.
Choong, Cliff K., et al.. (2007). Delayed re-exploration for bleeding after coronary artery bypass surgery results in adverse outcomes☆. European Journal of Cardio-Thoracic Surgery. 31(5). 834–838. 53 indexed citations
17.
Vuylsteke, Alain, et al.. (2006). The impact of administration of tranexamic acid in reducing the use of red blood cells and other blood products in cardiac surgery. BMC Anesthesiology. 6(1). 9–9. 11 indexed citations
18.
Ali, Ziad A., Eric Lim, Reza Motallebzadeh, et al.. (2004). Allogenic Blood Transfusion Does Not Predispose to Infection After Cardiac Surgery. The Annals of Thoracic Surgery. 78(5). 1542–1546. 25 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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