Didier Ngabo

3.5k total citations
9 papers, 114 citations indexed

About

Didier Ngabo is a scholar working on Infectious Diseases, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Didier Ngabo has authored 9 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 4 papers in Molecular Biology and 2 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Didier Ngabo's work include SARS-CoV-2 and COVID-19 Research (3 papers), Bacillus and Francisella bacterial research (3 papers) and Infection Control in Healthcare (2 papers). Didier Ngabo is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), Bacillus and Francisella bacterial research (3 papers) and Infection Control in Healthcare (2 papers). Didier Ngabo collaborates with scholars based in United Kingdom, Switzerland and France. Didier Ngabo's co-authors include Allan Bennett, Thomas Pottage, Katy‐Anne Thompson, Simon Parks, Christopher Burton, Barry Atkinson, Ant Crook, Kuiama Lewandowski, Timothy Brooks and Jenna Furneaux and has published in prestigious journals such as Environmental Microbiology, Journal of Applied Microbiology and Viruses.

In The Last Decade

Didier Ngabo

9 papers receiving 109 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Didier Ngabo United Kingdom 7 56 51 36 33 17 9 114
David A Lindholm United States 7 36 0.6× 34 0.7× 36 1.0× 34 1.0× 3 0.2× 20 103
Teresa Puerta Spain 7 36 0.6× 47 0.9× 77 2.1× 52 1.6× 1 0.1× 11 180
Rachana Mehta India 7 31 0.6× 28 0.5× 59 1.6× 74 2.2× 3 0.2× 62 172
Yukari Itakura Japan 7 22 0.4× 13 0.3× 22 0.6× 57 1.7× 10 0.6× 24 106
Ronghua Jin China 6 61 1.1× 25 0.5× 32 0.9× 30 0.9× 10 0.6× 15 120
Pedro Pechirra Portugal 7 28 0.5× 6 0.1× 126 3.5× 43 1.3× 17 1.0× 23 160
Carlos Franco-Muñoz Colombia 8 32 0.6× 7 0.1× 32 0.9× 121 3.7× 5 0.3× 19 183
Célia Boukadida Mexico 7 54 1.0× 12 0.2× 41 1.1× 61 1.8× 10 0.6× 12 126
Jacqui Ralston New Zealand 6 19 0.3× 7 0.1× 88 2.4× 28 0.8× 3 0.2× 11 143
Valentino Costabile Italy 5 22 0.4× 11 0.2× 26 0.7× 80 2.4× 9 0.5× 10 122

Countries citing papers authored by Didier Ngabo

Since Specialization
Citations

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

Fields of papers citing papers by Didier Ngabo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Didier Ngabo

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

All Works

9 of 9 papers shown
1.
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
2.
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
3.
Potter, J.A., Francisco J. Salguero, Robert J. Watson, et al.. (2022). Activity of a Carbohydrate-Binding Module Therapy, Neumifil, against SARS-CoV-2 Disease in a Hamster Model of Infection. Viruses. 14(5). 976–976. 6 indexed citations
4.
Atkinson, Barry, Christopher Burton, Thomas Pottage, et al.. (2022). Infection‐competent monkeypox virus contamination identified in domestic settings following an imported case of monkeypox into the UK. Environmental Microbiology. 24(10). 4561–4569. 52 indexed citations
5.
Pottage, Thomas, Didier Ngabo, Simon Parks, et al.. (2022). Microbial Aerosols Generated from Standard Microbiological Laboratory Procedures. Applied Biosafety. 27(2). 92–99. 6 indexed citations
6.
Pottage, Thomas, et al.. (2019). Hazard Group 3 agent decontamination using hydrogen peroxide vapour in a class III microbiological safety cabinet. Journal of Applied Microbiology. 128(1). 116–123. 7 indexed citations
7.
Ngabo, Didier, Thomas Pottage, Allan Bennett, & Simon Parks. (2017). Cabinet Decontamination Using Formaldehyde. Applied Biosafety. 22(2). 60–67. 6 indexed citations
8.
Moore, Ginny, David Stevenson, Katy‐Anne Thompson, et al.. (2015). Biofilm formation in an experimental water distribution system: the contamination of non-touch sensor taps and the implication for healthcare. Biofouling. 31(9-10). 677–687. 14 indexed citations
9.
Diawara, Lamine, et al.. (2008). [Schistosomiasis in school children in the Bandafassi region of East Senegal].. PubMed. 68(3). 267–71. 13 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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