Christina Atchison

5.6k total citations · 2 hit papers
68 papers, 2.1k citations indexed

About

Christina Atchison is a scholar working on Infectious Diseases, Epidemiology and Modeling and Simulation. According to data from OpenAlex, Christina Atchison has authored 68 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Infectious Diseases, 15 papers in Epidemiology and 14 papers in Modeling and Simulation. Recurrent topics in Christina Atchison's work include Viral gastroenteritis research and epidemiology (18 papers), SARS-CoV-2 and COVID-19 Research (14 papers) and COVID-19 Clinical Research Studies (14 papers). Christina Atchison is often cited by papers focused on Viral gastroenteritis research and epidemiology (18 papers), SARS-CoV-2 and COVID-19 Research (14 papers) and COVID-19 Clinical Research Studies (14 papers). Christina Atchison collaborates with scholars based in United Kingdom, United States and Netherlands. Christina Atchison's co-authors include Helen Ward, Graham Cooke, Paul Elliott, Ben Lopman, Christl A. Donnelly, Sondus Hassounah, William Barclay, Ara Darzi, Deborah Ashby and Rozlyn Redd and has published in prestigious journals such as Science, New England Journal of Medicine and Nature Communications.

In The Last Decade

Christina Atchison

65 papers receiving 2.0k 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.

Early perceptions and behavioural responses during the COVID-19 pandemic: a cross-sectional survey of UK adults

2021 161 citations Christina Atchison, Leigh Bowman et al. BMJ Open profile →
Cognition and Memory after Covid-19 in a Large Community Sample

2024 91 citations Christina Atchison, Graham Cooke et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christina Atchison United Kingdom	23	1.3k	395	326	299	286	68	2.1k
Khitam Muhsen Israel	29	1.1k 0.9×	159 0.4×	163 0.5×	275 0.9×	83 0.3×	117	2.7k
Wanderson Kleber de Oliveira Brazil	21	1.4k 1.1×	388 1.0×	105 0.3×	661 2.2×	140 0.5×	43	2.8k
Margie Danchin Australia	28	1.4k 1.1×	166 0.4×	211 0.6×	891 3.0×	171 0.6×	169	3.1k
Hiam Chemaitelly Qatar	30	926 0.7×	206 0.5×	539 1.7×	1.3k 4.2×	136 0.5×	111	2.8k
A.I.M. Bartelds Netherlands	22	750 0.6×	88 0.2×	156 0.5×	819 2.7×	329 1.2×	50	2.3k
Young June Choe South Korea	25	830 0.7×	247 0.6×	63 0.2×	764 2.6×	114 0.4×	197	2.0k
Victor Santana Santos Brazil	25	767 0.6×	113 0.3×	59 0.2×	263 0.9×	123 0.4×	122	1.7k
Hanna Nohynek Finland	27	827 0.7×	183 0.5×	56 0.2×	1.3k 4.2×	93 0.3×	108	2.7k
Mehran S. Massoudi United States	21	928 0.7×	96 0.2×	248 0.8×	670 2.2×	49 0.2×	36	2.0k
Poh Lian Lim Singapore	21	771 0.6×	177 0.4×	117 0.4×	433 1.4×	83 0.3×	43	1.4k

Countries citing papers authored by Christina Atchison

Since Specialization

Citations

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

Fields of papers citing papers by Christina Atchison

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christina Atchison

This figure shows the co-authorship network connecting the top 25 collaborators of Christina Atchison. A scholar is included among the top collaborators of Christina Atchison 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 Christina Atchison. Christina Atchison 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

Atchison, Christina, Kevin Pickering, Marc Chadeau‐Hyam, et al.. (2025). Strategies to Increase Response Rate and Reduce Nonresponse Bias in Population Health Research: Analysis of a Series of Randomized Controlled Experiments during a Large COVID-19 Study. JMIR Public Health and Surveillance. 11. e60022–e60022.

Nicholls, Gillian, Barry Atkinson, Karin van Veldhoven, et al.. (2023). An outbreak of SARS-CoV-2 in a public-facing office in England. Occupational Medicine. 74(7). 475–485. 5 indexed citations

Atchison, Christina, Maya Moshe, Jonathan C. Brown, et al.. (2022). Validity of Self-testing at Home With Rapid Severe Acute Respiratory Syndrome Coronavirus 2 Antibody Detection by Lateral Flow Immunoassay. Clinical Infectious Diseases. 76(4). 658–666. 9 indexed citations

Ward, Helen, Matthew Whitaker, Barnaby Flower, et al.. (2022). Population antibody responses following COVID-19 vaccination in 212,102 individuals. Nature Communications. 13(1). 907–907. 90 indexed citations

Turbé, Valérian, Matthew Whitaker, Maya Moshe, et al.. (2022). Machine learning to support visual auditing of home-based lateral flow immunoassay self-test results for SARS-CoV-2 antibodies. SHILAP Revista de lepidopterología. 2(1). 78–78. 22 indexed citations

Elliott, Paul, Oliver Eales, Nicholas Steyn, et al.. (2022). Twin peaks: The Omicron SARS-CoV-2 BA.1 and BA.2 epidemics in England. Science. 376(6600). eabq4411–eabq4411. 67 indexed citations

Eales, Oliver, Kylie E. C. Ainslie, Caroline E. Walters, et al.. (2022). Appropriately smoothing prevalence data to inform estimates of growth rate and reproduction number. Epidemics. 40. 100604–100604. 17 indexed citations

Eales, Oliver, Leonardo de Oliveira Martins, Andrew J. Page, et al.. (2022). Dynamics of competing SARS-CoV-2 variants during the Omicron epidemic in England. Nature Communications. 13(1). 4375–4375. 24 indexed citations

Davies, Bethan, Marzieh Araghi, Maya Moshe, et al.. (2021). Acceptability, Usability, and Performance of Lateral Flow Immunoassay Tests for Severe Acute Respiratory Syndrome Coronavirus 2 Antibodies: REACT-2 Study of Self-Testing in Nonhealthcare Key Workers. Open Forum Infectious Diseases. 8(11). ofab496–ofab496. 13 indexed citations

10.

Atchison, Christina, Leigh Bowman, Charlotte Vrinten, et al.. (2021). Early perceptions and behavioural responses during the COVID-19 pandemic: a cross-sectional survey of UK adults. BMJ Open. 11(1). e043577–e043577. 161 indexed citations breakdown →

11.

Ward, Helen, Christina Atchison, Matthew Whitaker, et al.. (2021). SARS-CoV-2 antibody prevalence in England following the first peak of the pandemic. Nature Communications. 12(1). 905–905. 110 indexed citations

12.

Riley, Steven, Oliver Eales, Haowei Wang, et al.. (2020). REACT-1 round 7 interim report: fall in prevalence of swab-positivity in England during national lockdown. medRxiv. 2 indexed citations

13.

Ward, Helen, Christina Atchison, Matthew Whitaker, et al.. (2020). Antibody prevalence for SARS-CoV-2 in England following first peak of the pandemic: REACT2 study in 100,000 adults. medRxiv. 65 indexed citations

14.

Zhang, Xu‐Sheng, Alexandra H. Smith, Bharat Patel, et al.. (2020). New approaches to controlling an outbreak of chickenpox in a large immigration detention setting in England: the role of serological testing and mathematical modelling. Epidemiology and Infection. 148. e25–e25. 4 indexed citations

15.

Castro‐Sánchez, Enrique, Caroline M. Alexander, Christina Atchison, et al.. (2020). Evaluation of a personal protective equipment support programme for staff during the COVID-19 pandemic in London. Journal of Hospital Infection. 109. 68–77. 18 indexed citations

16.

Atchison, Christina, Saidi Kapiga, Emily Crawford, et al.. (2018). Evaluating the impact of an intervention to increase uptake of modern contraceptives among adolescent girls (15–19 years) in Nigeria, Ethiopia and Tanzania: the Adolescents 360 quasi-experimental study protocol. BMJ Open. 8(5). e021834–e021834. 13 indexed citations

17.

Atchison, Christina, et al.. (2015). Treating latent TB in primary care: a survey of enablers and barriers among UK General Practitioners. BMC Infectious Diseases. 15(1). 331–331. 11 indexed citations

18.

Atchison, Christina, Julia Stowe, Nick Andrews, et al.. (2015). Rapid Declines in Age Group–Specific Rotavirus Infection and Acute Gastroenteritis Among Vaccinated and Unvaccinated Individuals Within 1 Year of Rotavirus Vaccine Introduction in England and Wales. The Journal of Infectious Diseases. 213(2). 243–249. 74 indexed citations

19.

Atchison, Christina, et al.. (2013). The Evaluation of a Standardized Call/Recall System for Childhood Immunizations in Wandsworth, England. Journal of Community Health. 38(3). 581–587. 14 indexed citations

20.

Lopman, Benjamin A., Virginia E. Pitzer, Rajiv Sarkar, et al.. (2012). Understanding Reduced Rotavirus Vaccine Efficacy in Low Socio-Economic Settings. PLoS ONE. 7(8). e41720–e41720. 109 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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