Oliver Carnell

487 total citations
9 papers, 163 citations indexed

About

Oliver Carnell is a scholar working on Infectious Diseases, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Oliver Carnell has authored 9 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 4 papers in Molecular Biology and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Oliver Carnell's work include SARS-CoV-2 and COVID-19 Research (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Bacterial biofilms and quorum sensing (3 papers). Oliver Carnell is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Bacterial biofilms and quorum sensing (3 papers). Oliver Carnell collaborates with scholars based in United Kingdom, Switzerland and France. Oliver Carnell's co-authors include Simon J. Foster, Jamie K. Hobbs, Stephen A. Renshaw, Eric J. G. Pollitt, Grace R. Pidwill, Josie F. Gibson, Bartłomiej Salamaga, D. Hornby, Waldemar Vollmer and Jacob Biboy and has published in prestigious journals such as Nanoscale, PLoS Pathogens and Viruses.

In The Last Decade

Oliver Carnell

8 papers receiving 160 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Oliver Carnell United Kingdom	7	90	78	24	19	17	9	163
Adriana van de Guchte United States	5	93 1.0×	119 1.5×	22 0.9×	10 0.5×	8 0.5×	9	163
Leonhard Menschner Germany	5	84 0.9×	134 1.7×	58 2.4×	11 0.6×	26 1.5×	8	233
Mathilde Boumasmoud Switzerland	8	90 1.0×	123 1.6×	48 2.0×	50 2.6×	28 1.6×	14	263
Emily C. Woods United States	11	155 1.7×	124 1.6×	29 1.2×	30 1.6×	6 0.4×	16	263
Axel Walter Germany	6	34 0.4×	78 1.0×	22 0.9×	12 0.6×	7 0.4×	11	144
Samuel Ellis United Kingdom	6	48 0.5×	56 0.7×	13 0.5×	20 1.1×	5 0.3×	11	144
Ryan Liu United States	7	67 0.7×	122 1.6×	12 0.5×	6 0.3×	16 0.9×	17	292
Laleh Khodaparast Belgium	9	86 1.0×	219 2.8×	54 2.3×	24 1.3×	14 0.8×	22	355
Ladan Khodaparast Belgium	9	91 1.0×	223 2.9×	54 2.3×	24 1.3×	14 0.8×	21	354
Kelly Conde‐Pérez Spain	8	56 0.6×	61 0.8×	13 0.5×	76 4.0×	27 1.6×	14	182

Countries citing papers authored by Oliver Carnell

Since Specialization

Citations

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

Fields of papers citing papers by Oliver Carnell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Carnell

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

All Works

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9 of 9 papers shown

Tipton, Tom, Oliver Carnell, Stephanie Longet, et al.. (2025). A systems biology approach to define SARS-CoV-2 correlates of protection. npj Vaccines. 10(1). 69–69.

Ryan, Kathryn A., Elizabeth R. Davies, Kevin R. Bewley, et al.. (2023). SARS-CoV-2 Disease Severity in the Golden Syrian Hamster Model of Infection Is Related to the Volume of Intranasal Inoculum. Viruses. 15(3). 748–748. 8 indexed citations

Davies, Elizabeth R., Kathryn A. Ryan, Kevin R. Bewley, et al.. (2023). The Omicron Sub-Variant BA.4 Displays a Remarkable Lack of Clinical Signs in a Golden Syrian Hamster Model of SARS-CoV-2 Infection. Viruses. 15(5). 1133–1133. 2 indexed citations

Parker, Helen, Alfredo Maria Gravagnuolo, Sandra Vranic, et al.. (2022). Graphene oxide modulates dendritic cell ability to promote T cell activation and cytokine production. Nanoscale. 14(46). 17297–17314. 8 indexed citations

Tinajero‐Trejo, Mariana, Oliver Carnell, Laia Pasquina-Lemonche, et al.. (2022). The Staphylococcus aureus cell division protein, DivIC, interacts with the cell wall and controls its biosynthesis. Communications Biology. 5(1). 1228–1228. 17 indexed citations

Carnell, Oliver, Joe Gray, Jacob Biboy, et al.. (2021). Staphylococcus aureus cell wall structure and dynamics during host-pathogen interaction. PLoS Pathogens. 17(3). e1009468–e1009468. 57 indexed citations

Gibson, Josie F., Grace R. Pidwill, Oliver Carnell, et al.. (2021). Commensal bacteria augment Staphylococcus aureus infection by inactivation of phagocyte-derived reactive oxygen species. PLoS Pathogens. 17(9). e1009880–e1009880. 15 indexed citations

Dowall, Stuart, Francisco J. Salguero, Nathan R. Wiblin, et al.. (2021). Development of a Hamster Natural Transmission Model of SARS-CoV-2 Infection. Viruses. 13(11). 2251–2251. 11 indexed citations

Bilyk, Bohdan, Oliver Carnell, D. Hornby, et al.. (2020). Evolving MRSA: High-level β-lactam resistance in Staphylococcus aureus is associated with RNA Polymerase alterations and fine tuning of gene expression. PLoS Pathogens. 16(7). e1008672–e1008672. 45 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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