Anthony Gilbert

4.0k total citations · 1 hit paper
30 papers, 2.1k citations indexed

About

Anthony Gilbert is a scholar working on Epidemiology, Infectious Diseases and Immunology. According to data from OpenAlex, Anthony Gilbert has authored 30 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Epidemiology, 12 papers in Infectious Diseases and 10 papers in Immunology. Recurrent topics in Anthony Gilbert's work include Influenza Virus Research Studies (23 papers), Respiratory viral infections research (18 papers) and Viral gastroenteritis research and epidemiology (6 papers). Anthony Gilbert is often cited by papers focused on Influenza Virus Research Studies (23 papers), Respiratory viral infections research (18 papers) and Viral gastroenteritis research and epidemiology (6 papers). Anthony Gilbert collaborates with scholars based in United States, United Kingdom and Belgium. Anthony Gilbert's co-authors include Rob Lambkin‐Williams, John Oxford, Tom Wilkinson, Tao Dong, Cecilia Chui, Xiao-Ning Xu, Andrew J. McMichael, Daniel C. Douek, Ben Nicholas and Ang Huang and has published in prestigious journals such as New England Journal of Medicine, Nature Medicine and PLoS ONE.

In The Last Decade

Anthony Gilbert

29 papers receiving 2.0k citations

Hit Papers

align trajectories sort by overperformance

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.

Preexisting influenza-specific CD4+ T cells correlate with disease protection against influenza challenge in humans

2012 766 citations Tom Wilkinson, Cecilia Chui et al. Nature Medicine profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Anthony Gilbert	1.4k	790	693	415	115	30	2.1k
Saranya Sridhar	1.3k 0.9×	961 1.2×	996 1.4×	330 0.8×	59 0.5×	42	2.2k
Alison Bermingham	1.3k 1.0×	647 0.8×	1.2k 1.8×	275 0.7×	138 1.2×	18	2.4k
Matthew J. Memoli	1.6k 1.1×	548 0.7×	997 1.4×	465 1.1×	115 1.0×	53	2.6k
Sook‐San Wong	1.3k 0.9×	404 0.5×	781 1.1×	359 0.9×	100 0.9×	57	1.9k
Karen Laurie	1.9k 1.3×	975 1.2×	634 0.9×	307 0.7×	62 0.5×	74	2.5k
Franklin R. Toapanta	744 0.5×	680 0.9×	448 0.6×	326 0.8×	55 0.5×	35	1.6k
Koert J. Stittelaar	1.6k 1.1×	644 0.8×	932 1.3×	552 1.3×	48 0.4×	69	2.5k
Kiyoko Iwatsuki‐Horimoto	1.2k 0.9×	472 0.6×	879 1.3×	509 1.2×	225 2.0×	81	2.2k
Susette Audet	1.4k 1.0×	652 0.8×	624 0.9×	147 0.4×	116 1.0×	38	2.0k
Heather Hill	1.3k 0.9×	632 0.8×	763 1.1×	382 0.9×	34 0.3×	53	2.0k

Countries citing papers authored by Anthony Gilbert

Since Specialization

Citations

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

Fields of papers citing papers by Anthony Gilbert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anthony Gilbert

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

All Works

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20 of 20 papers shown

Oxford, John, Anthony Catchpole, Anita Mann, et al.. (2022). A Brief History of Human Challenge Studies (1900–2021) Emphasising the Virology, Regulatory and Ethical Requirements, Raison D’etre, Ethnography, Selection of Volunteers and Unit Design. Current topics in microbiology and immunology. 445. 1–32. 1 indexed citations

Rapeport, Garth, Emma Smith, Anthony Gilbert, et al.. (2021). SARS-CoV-2 Human Challenge Studies — Establishing the Model during an Evolving Pandemic. New England Journal of Medicine. 385(11). 961–964. 31 indexed citations

Mesquita, P. Jacob Bueno de, Jonathan S. Nguyen‐Van‐Tam, Ben Killingley, et al.. (2020). Influenza A (H3) illness and viral aerosol shedding from symptomatic naturally infected and experimentally infected cases. Influenza and Other Respiratory Viruses. 15(1). 154–163. 5 indexed citations

Nguyen‐Van‐Tam, Jonathan S., Ben Killingley, Joanne Enstone, et al.. (2020). Minimal transmission in an influenza A (H3N2) human challenge-transmission model within a controlled exposure environment. PLoS Pathogens. 16(7). e1008704–e1008704. 18 indexed citations

Nguyen‐Van‐Tam, Jonathan S., Ben Killingley, Joanne Enstone, et al.. (2019). Minimal Transmission in an Influenza A (H3N2) Human Challenge-Transmission Model with Exposure Events in a Controlled Environment. SSRN Electronic Journal. 1 indexed citations

Catchpole, Andrew, et al.. (2018). The manufacturing of human viral challenge agents for use in clinical studies to accelerate the drug development process. BMC Research Notes. 11(1). 620–620. 6 indexed citations

Lambkin‐Williams, Rob, Nicolas Noulin, Alex Mann, Andrew Catchpole, & Anthony Gilbert. (2018). The human viral challenge model: accelerating the evaluation of respiratory antivirals, vaccines and novel diagnostics. Respiratory Research. 19(1). 123–123. 43 indexed citations

McClain, Micah T., Gavin J. D. Smith, David E. Wentworth, et al.. (2017). The effective rate of influenza reassortment is limited during human infection. PLoS Pathogens. 13(2). e1006203–e1006203. 33 indexed citations

Mori, Julie, Andrew Catchpole, Edward J. Murray, et al.. (2016). A Tool for Investigating Asthma and COPD Exacerbations: A Newly Manufactured and Well Characterised GMP Wild-Type Human Rhinovirus for Use in the Human Viral Challenge Model. PLoS ONE. 11(12). e0166113–e0166113. 5 indexed citations

10.

Lambkin‐Williams, Rob, Colin Gelder, Corey P. Mallett, et al.. (2016). An Intranasal Proteosome-Adjuvanted Trivalent Influenza Vaccine Is Safe, Immunogenic & Efficacious in the Human Viral Influenza Challenge Model. Serum IgG & Mucosal IgA Are Important Correlates of Protection against Illness Associated with Infection. PLoS ONE. 11(12). e0163089–e0163089. 24 indexed citations

11.

Noulin, Nicolas, Andrew Catchpole, Hosnieh Fathi, et al.. (2016). Accelerating Influenza Research: Vaccines, Antivirals, Immunomodulators and Monoclonal Antibodies. The Manufacture of a New Wild-Type H3N2 Virus for the Human Viral Challenge Model. PLoS ONE. 11(1). e0145902–e0145902. 9 indexed citations

12.

Pleguezuelos, Olga, Stuart Robinson, Ana M. Fernández, et al.. (2015). A Synthetic Influenza Virus Vaccine Induces a Cellular Immune Response That Correlates with Reduction in Symptomatology and Virus Shedding in a Randomized Phase Ib Live-Virus Challenge in Humans. Clinical and Vaccine Immunology. 22(7). 828–835. 55 indexed citations

13.

Clutterbuck, Elizabeth, Cecilia Chui, Tom Wilkinson, et al.. (2014). Virus-Specific Antibody Secreting Cell, Memory B-cell, and Sero-Antibody Responses in the Human Influenza Challenge Model. The Journal of Infectious Diseases. 209(9). 1354–1361. 43 indexed citations

14.

Cass, Lindsey, Kazuhiro Ito, Catherine E. Charron, et al.. (2013). RV568, a narrow spectrum kinase inhibitor (NSKI), inhibits virus induced nasal interleukin-8 (IL8) in the human viral challenge model where healthy adult male volunteers were experimentally inoculated with live respiratory syncytial virus. European Respiratory Journal. 42(Suppl 57). 1970–1970. 3 indexed citations

15.

McClain, Micah T., Lawrence P. Park, Bradly P. Nicholson, et al.. (2013). Longitudinal analysis of leukocyte differentials in peripheral blood of patients with acute respiratory viral infections. Journal of Clinical Virology. 58(4). 689–695. 56 indexed citations

16.

Woods, Christopher W., Micah T. McClain, Minhua Chen, et al.. (2013). A Host Transcriptional Signature for Presymptomatic Detection of Infection in Humans Exposed to Influenza H1N1 or H3N2. PLoS ONE. 8(1). e52198–e52198. 122 indexed citations

17.

Wilkinson, Tom, Cecilia Chui, Ang Huang, et al.. (2012). Preexisting influenza-specific CD4+ T cells correlate with disease protection against influenza challenge in humans. Nature Medicine. 18(2). 274–280. 766 indexed citations breakdown →

18.

Lillie, Patrick, Tamara Berthoud, Timothy J. Powell, et al.. (2012). Preliminary Assessment of the Efficacy of a T-Cell–Based Influenza Vaccine, MVA-NP+M1, in Humans. Clinical Infectious Diseases. 55(1). 19–25. 209 indexed citations

19.

Killingley, Ben, Joanne Enstone, Jane Greatorex, et al.. (2011). Use of a Human Influenza Challenge Model to Assess Person-to-Person Transmission: Proof-of-Concept Study. The Journal of Infectious Diseases. 205(1). 35–43. 48 indexed citations

20.

Zaas, Aimee K., Minhua Chen, Jay B. Varkey, et al.. (2009). Gene Expression Signatures Diagnose Influenza and Other Symptomatic Respiratory Viral Infections in Humans. Cell Host & Microbe. 6(3). 207–217. 281 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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