Paula Hutton

7.2k total citations · 1 hit paper
13 papers, 826 citations indexed

About

Paula Hutton is a scholar working on Epidemiology, Immunology and Surgery. According to data from OpenAlex, Paula Hutton has authored 13 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 4 papers in Immunology and 3 papers in Surgery. Recurrent topics in Paula Hutton's work include Sepsis Diagnosis and Treatment (5 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers) and Immune Response and Inflammation (2 papers). Paula Hutton is often cited by papers focused on Sepsis Diagnosis and Treatment (5 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers) and Immune Response and Inflammation (2 papers). Paula Hutton collaborates with scholars based in United Kingdom, Switzerland and France. Paula Hutton's co-authors include Charles Hinds, Anthony Gordon, Christopher S. Garrard, Adrian V. S. Hill, Emma E. Davenport, Julian C. Knight, Katie L. Burnham, Peter Humburg, Jayachandran Radhakrishnan and Anna Rautanen and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Respiratory and Critical Care Medicine and Clinical Infectious Diseases.

In The Last Decade

Paula Hutton

13 papers receiving 814 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Genomic landscape of the individual host response and outcomes in sepsis: a prospective cohort study

2016 462 citations Emma E. Davenport, Katie L. Burnham et al. The Lancet Respiratory Medicine profile →

Peers

Paula Hutton

EPIDE

IMMUN

CCICM

PRM

Katie L. Burnham United Kingdom

Marie Monaco United States

Gerry S. San Pedro United States

Gisela De La Rosa Colombia

María Heredia‐Rodríguez Spain

Masahiro Kojika Japan

Αιμιλία Πελεκάνου Greece

Olga Rajas Spain

Evdoxia Kyriazopoulou Greece

William Barchuk United States

Katie L. Burnham United Kingdom

Paula Hutton

628 ×1.1

EPIDE

318 ×1.3

IMMUN

171 ×1.0

CCICM

249 ×1.5

130 ×1.0

PRM

Citations per year, relative to Paula Hutton Paula Hutton (= 1×) peers Katie L. Burnham

Countries citing papers authored by Paula Hutton

Since Specialization

Citations

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

Fields of papers citing papers by Paula Hutton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula Hutton

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

All Works

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13 of 13 papers shown

Antcliffe, David, Yuxin Mi, Shalini Santhakumaran, et al.. (2024). Patient stratification using plasma cytokines and their regulators in sepsis: relationship to outcomes, treatment effect and leucocyte transcriptomic subphenotypes. Thorax. 79(6). 515–523. 9 indexed citations

Desborough, Michael, Emma Laing, Daphne Kounali, et al.. (2024). Desmopressin for prevention of bleeding for thrombocytopenic, critically ill patients undergoing invasive procedures: A randomised, double‐blind, placebo‐controlled feasibility trial. SHILAP Revista de lepidopterología. 5(4). 772–777. 1 indexed citations

Sadovnikoff, Nicholas, I Joubert, Paula Hutton, et al.. (2020). Variation in timing of decisions to withdraw lifesustaining treatment in adult ICU patients from three centres in different geographies: Do clinical factors explain the difference?. PubMed. 36(1). 18–18. 1 indexed citations

Goh, Cyndi, Katie L. Burnham, M. Azim Ansari, et al.. (2020). Epstein-Barr virus reactivation in sepsis due to community-acquired pneumonia is associated with increased morbidity and an immunosuppressed host transcriptomic endotype. Scientific Reports. 10(1). 9838–9838. 11 indexed citations

Tridente, Ascanio, Paul Holloway, Paula Hutton, et al.. (2019). Methodological challenges in European ethics approvals for a genetic epidemiology study in critically ill patients: the GenOSept experience. BMC Medical Ethics. 20(1). 30–30. 7 indexed citations

Tridente, Ascanio, Julian Bion, Gary Mills, et al.. (2017). Derivation and validation of a prognostic model for postoperative risk stratification of critically ill patients with faecal peritonitis. Annals of Intensive Care. 7(1). 96–96. 7 indexed citations

Burnham, Katie L., Emma E. Davenport, Jayachandran Radhakrishnan, et al.. (2017). Shared and Distinct Aspects of the Sepsis Transcriptomic Response to Fecal Peritonitis and Pneumonia. American Journal of Respiratory and Critical Care Medicine. 196(3). 328–339. 150 indexed citations

Davenport, Emma E., Katie L. Burnham, Jayachandran Radhakrishnan, et al.. (2016). Genomic landscape of the individual host response and outcomes in sepsis: a prospective cohort study. The Lancet Respiratory Medicine. 4(4). 259–271. 462 indexed citations breakdown →

Tridente, Ascanio, Geraldine M Clarke, Andrew Walden, et al.. (2015). Association between trends in clinical variables and outcome in intensive care patients with faecal peritonitis: analysis of the GenOSept cohort. Critical Care. 19(1). 210–210. 10 indexed citations

10.

Tridente, Ascanio, Geraldine M Clarke, Andrew Walden, et al.. (2015). Phenotypic factors associated with outcome in 977 intensive care patients with faecal peritonitis: analysis of trends in the GenOSept cohort. Critical Care. 19(S1). 1 indexed citations

11.

Mills, Tara C., S. Jonathan Chapman, Paula Hutton, et al.. (2015). Variants in the Mannose-binding Lectin GeneMBL2do not Associate With Sepsis Susceptibility or Survival in a Large European Cohort. Clinical Infectious Diseases. 61(5). 695–703. 17 indexed citations

12.

Walden, Andrew P., Geraldine M Clarke, Stuart McKechnie, et al.. (2014). Patients with community acquired pneumonia admitted to European intensive care units: an epidemiological survey of the GenOSept cohort. Critical Care. 18(2). R58–R58. 107 indexed citations

13.

Tridente, Ascanio, Geraldine M Clarke, Andrew Walden, et al.. (2013). Patients with faecal peritonitis admitted to European intensive care units: an epidemiological survey of the GenOSept cohort. Intensive Care Medicine. 40(2). 202–210. 43 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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