Emma E. Davenport

4.3k total citations · 1 hit paper
20 papers, 925 citations indexed

About

Emma E. Davenport is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Emma E. Davenport has authored 20 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 7 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Emma E. Davenport's work include Immune Response and Inflammation (4 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (3 papers). Emma E. Davenport is often cited by papers focused on Immune Response and Inflammation (4 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (3 papers). Emma E. Davenport collaborates with scholars based in United Kingdom, United States and Netherlands. Emma E. Davenport's co-authors include Julian C. Knight, Katie L. Burnham, Charles Hinds, Paula Hutton, Adrian V. S. Hill, Anthony Gordon, Christopher S. Garrard, Peter Humburg, Jayachandran Radhakrishnan and Anna Rautanen and has published in prestigious journals such as Nature Medicine, Nature Communications and The Journal of Immunology.

In The Last Decade

Emma E. Davenport

20 papers receiving 914 citations

Hit Papers

Genomic landscape of the individual host response and out... 2016 2026 2019 2022 2016 100 200 300 400

Peers

Emma E. Davenport
Katie L. Burnham United Kingdom
Emma E. Davenport
Citations per year, relative to Emma E. Davenport Emma E. Davenport (= 1×) peers Katie L. Burnham

Countries citing papers authored by Emma E. Davenport

Since Specialization
Citations

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

Fields of papers citing papers by Emma E. Davenport

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emma E. Davenport. 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 Emma E. Davenport. The network helps show where Emma E. Davenport may publish in the future.

Co-authorship network of co-authors of Emma E. Davenport

This figure shows the co-authorship network connecting the top 25 collaborators of Emma E. Davenport. A scholar is included among the top collaborators of Emma E. Davenport 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 Emma E. Davenport. Emma E. Davenport 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.
Scicluna, Brendon P., Katie L. Burnham, Emma E. Davenport, et al.. (2025). A consensus blood transcriptomic framework for sepsis. Nature Medicine. 31(12). 4119–4130. 4 indexed citations
2.
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
4.
Torrance, Hew D.T., Ping Zhang, Yuxin Mi, et al.. (2023). A Transcriptomic Approach to Understand Patient Susceptibility to Pneumonia After Abdominal Surgery. Annals of Surgery. 279(3). 510–520. 2 indexed citations
5.
Foguet, Carles, Yu Xu, Scott C. Ritchie, et al.. (2022). Genetically personalised organ-specific metabolic models in health and disease. Nature Communications. 13(1). 7356–7356. 13 indexed citations
6.
Macrae, Robyn, Maria Colzani, Thomas Williams, et al.. (2022). Inducible apelin receptor knockdown reduces differentiation efficiency and contractility of hESC-derived cardiomyocytes. Cardiovascular Research. 119(2). 587–598. 8 indexed citations
7.
Morrow, Andrew, Joana Oliveira, Jonathan Weir‐McCall, et al.. (2022). Mechanistic study of the effect of Endothelin SNPs in microvascular angina – Protocol of the PRIZE Endothelin Sub-Study. IJC Heart & Vasculature. 39. 100980–100980. 7 indexed citations
8.
Burnham, Katie L., Laury Baillon, Claudia Selck, et al.. (2022). Transcriptional reprogramming from innate immune functions to a pro-thrombotic signature by monocytes in COVID-19. Nature Communications. 13(1). 7947–7947. 26 indexed citations
9.
Uhel, Fabrice, Hessel Peters‐Sengers, Joe M. Butler, et al.. (2021). Blood leukocyte transcriptomes in Gram-positive and Gram-negative community-acquired pneumonia. European Respiratory Journal. 59(3). 2101856–2101856. 7 indexed citations
10.
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
11.
Cui, Jing, Soumya Raychaudhuri, Elizabeth W. Karlson, et al.. (2020). Interactions Between Genome‐Wide Genetic Factors and Smoking Influencing Risk of Systemic Lupus Erythematosus. Arthritis & Rheumatology. 72(11). 1863–1871. 19 indexed citations
12.
Amariuta, Tiffany, Yang Luo, Steven Gazal, et al.. (2019). IMPACT: Genomic Annotation of Cell-State-Specific Regulatory Elements Inferred from the Epigenome of Bound Transcription Factors. The American Journal of Human Genetics. 104(5). 879–895. 30 indexed citations
13.
Davenport, Emma E., Tiffany Amariuta, María Gutiérrez‐Arcelus, et al.. (2018). Discovering in vivo cytokine-eQTL interactions from a lupus clinical trial. Genome biology. 19(1). 168–168. 27 indexed citations
14.
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
15.
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 →
16.
Schouwenburg, Pauline A. van, Emma E. Davenport, Anne‐Kathrin Kienzler, et al.. (2015). Application of whole genome and RNA sequencing to investigate the genomic landscape of common variable immunodeficiency disorders. Clinical Immunology. 160(2). 301–314. 79 indexed citations
17.
Dhalla, Fatima, Hannah Fox, Emma E. Davenport, et al.. (2015). Chronic mucocutaneous candidiasis: characterization of a family with STAT-1 gain-of-function and development of an ex-vivo assay for Th17 deficiency of diagnostic utility. Clinical & Experimental Immunology. 184(2). 216–227. 18 indexed citations
18.
Davenport, Emma E., Richard Antrobus, Patrick Lillie, Sarah C. Gilbert, & Julian C. Knight. (2014). Transcriptomic profiling facilitates classification of response to influenza challenge. Journal of Molecular Medicine. 93(1). 105–114. 35 indexed citations
20.
Fairfax, Benjamin P., Emma E. Davenport, Seiko Makino, et al.. (2011). A Common Haplotype of the TNF Receptor 2 Gene Modulates Endotoxin Tolerance. The Journal of Immunology. 186(5). 3058–3065. 12 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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