David Chapman

7.9k total citations · 1 hit paper
16 papers, 866 citations indexed

About

David Chapman is a scholar working on Infectious Diseases, Molecular Biology and Surgery. According to data from OpenAlex, David Chapman has authored 16 papers receiving a total of 866 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 6 papers in Molecular Biology and 5 papers in Surgery. Recurrent topics in David Chapman's work include SARS-CoV-2 detection and testing (5 papers), Biosensors and Analytical Detection (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). David Chapman is often cited by papers focused on SARS-CoV-2 detection and testing (5 papers), Biosensors and Analytical Detection (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). David Chapman collaborates with scholars based in United Kingdom, United States and France. David Chapman's co-authors include John F. Morris, Daniel Poulain, D.T. Theodosis, Catherine M. Montagnese, E. L. Way, E. Leong Way, Koen B. Pouwels, David W. Eyre, A. Sarah Walker and Donald Taylor and has published in prestigious journals such as New England Journal of Medicine, Neuroscience and British Journal of Pharmacology.

In The Last Decade

David Chapman

15 papers receiving 845 citations

Hit Papers

Effect of Covid-19 Vaccination on Transmission of Alpha a... 2022 2026 2023 2024 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Chapman United Kingdom 10 263 214 192 170 157 16 866
Fahed Hakim Israel 14 66 0.3× 123 0.6× 134 0.7× 49 0.3× 213 1.4× 34 920
Jerry A. Miller United States 19 373 1.4× 158 0.7× 338 1.8× 39 0.2× 83 0.5× 45 1.2k
Filia Apostolakou Greece 19 26 0.1× 273 1.3× 210 1.1× 22 0.1× 117 0.7× 39 1.1k
Giovanni Carlo Federico Villa United Kingdom 11 180 0.7× 252 1.2× 158 0.8× 7 0.0× 182 1.2× 35 870
Nicole Gervais Canada 24 100 0.4× 140 0.7× 130 0.7× 91 0.5× 83 0.5× 53 1.5k
Ravikumar Balasubramanian United States 21 67 0.3× 252 1.2× 468 2.4× 69 0.4× 116 0.7× 58 1.5k
J. Christina Howell United States 19 32 0.1× 128 0.6× 269 1.4× 25 0.1× 290 1.8× 31 1.1k
Kathleen M. Gorman Ireland 15 297 1.1× 34 0.2× 251 1.3× 141 0.8× 105 0.7× 63 1.1k
Jin Yong Kim South Korea 13 126 0.5× 11 0.1× 142 0.7× 60 0.4× 49 0.3× 24 541
Anne Vincent France 19 130 0.5× 151 0.7× 214 1.1× 84 0.5× 45 0.3× 67 954

Countries citing papers authored by David Chapman

Since Specialization
Citations

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

Fields of papers citing papers by David Chapman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Chapman

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

All Works

16 of 16 papers shown
1.
Futschik, Matthias E., Samuel Johnson, David Chapman, et al.. (2024). Rapid antigen testing for SARS-CoV-2 by lateral flow assay: A field evaluation of self- and professional testing at UK community testing sites. Journal of Clinical Virology. 171. 105654–105654. 4 indexed citations
2.
Fowler, Tom, David Chapman, Matthias E. Futschik, et al.. (2024). Self-swabbing versus assisted swabbing for viral detection by qRT-PCR: the experience from SARS-CoV-2 based on a meta-analysis of six prospectively designed evaluations conducted in a UK setting. European Journal of Clinical Microbiology & Infectious Diseases. 43(8). 1621–1630. 2 indexed citations
3.
Fowler, Tom, David Chapman, Matthias E. Futschik, et al.. (2024). Comparative evaluation of swabbing sites for Omicron variant detection in PCR testing. Diagnostic Microbiology and Infectious Disease. 111(1). 116577–116577.
4.
Futschik, Matthias E., David Chapman, Andrew Dodgson, et al.. (2024). Double testing with lateral flow antigen test devices for COVID-19: does a second test in quick succession add value?. Journal of Virological Methods. 329. 115000–115000. 2 indexed citations
5.
Fagg, James, Rupert Beale, Matthias E. Futschik, et al.. (2023). Swab pooling enables rapid expansion of high-throughput capacity for SARS-CoV-2 community testing. Journal of Clinical Virology. 167. 105574–105574. 1 indexed citations
6.
Eyre, David W., Donald Taylor, M. B. Purver, et al.. (2022). Effect of Covid-19 Vaccination on Transmission of Alpha and Delta Variants. New England Journal of Medicine. 386(8). 744–756. 284 indexed citations breakdown →
7.
Chapman, David, et al.. (2011). Parathyroid hormone early percent change: an individualized approach to predict postthyroidectomy hypocalcemia. American Journal of Otolaryngology. 33(2). 216–220. 36 indexed citations
8.
Chapman, David, et al.. (2010). Adverse Effects of Long-Term Proton Pump Inhibitor Use: A Review for the Otolaryngologist. Journal of Voice. 25(2). 236–240. 28 indexed citations
9.
Chapman, David, et al.. (2010). Clinical, histopathologic, and radiographic indicators of malignancy in head and neck paragangliomas. Otolaryngology. 143(4). 531–537. 30 indexed citations
10.
Chapman, David, Vandana Shashi, & Daniel J. Kirse. (2009). Case report: Aplasia of the lacrimal and major salivary glands (ALSG). International Journal of Pediatric Otorhinolaryngology. 73(6). 899–901. 18 indexed citations
11.
Chapman, David, D.T. Theodosis, Catherine M. Montagnese, Daniel Poulain, & John F. Morris. (1986). Osmotic stimulation causes structural plasticity of neurone-glia relationships of the oxytocin but not vasopressin secreting neurones in the hypothalamic supraoptic nucleus. Neuroscience. 17(3). 679–686. 108 indexed citations
12.
Theodosis, D.T., David Chapman, Catherine M. Montagnese, Daniel Poulain, & John F. Morris. (1986). Structural plasticity in the hypothalamic supraoptic nucleus at lactation affects oxytocin-, but not vasopressin-secreting neurones. Neuroscience. 17(3). 661–678. 152 indexed citations
13.
Chapman, David & John F. Morris. (1985). Granule populations in oxytocin and abnormal perikarya of the supraoptic nucleus of homozygous Brattleboro rats: Effects of colchicine administration. Cell and Tissue Research. 241(2). 435–444. 5 indexed citations
14.
Chapman, David & E. Leong Way. (1982). MODIFICATION OF ENDORPHIN/ENKEPHALIN ANALGESIA AND STRESS‐INDUCED ANALGESIA BY DIVALENT CATIONS, A CATION CHELATOR AND AN IONOPHORE. British Journal of Pharmacology. 75(2). 389–396. 77 indexed citations
15.
Chapman, David & E. L. Way. (1980). Metal Ion Interactions with Opiates. The Annual Review of Pharmacology and Toxicology. 20(1). 553–579. 99 indexed citations
16.
Chapman, David, et al.. (1980). Methionine-enkephalin antagonism and endorphin potentiation of narcotic-induced analgesia. European Journal of Pharmacology. 65(4). 369–377. 20 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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