Amanda D. Davidson

1.7k total citations
9 papers, 1.2k citations indexed

About

Amanda D. Davidson is a scholar working on Infectious Diseases, Epidemiology and Food Science. According to data from OpenAlex, Amanda D. Davidson has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 7 papers in Epidemiology and 4 papers in Food Science. Recurrent topics in Amanda D. Davidson's work include Antifungal resistance and susceptibility (9 papers), Fungal Infections and Studies (5 papers) and Probiotics and Fermented Foods (4 papers). Amanda D. Davidson is often cited by papers focused on Antifungal resistance and susceptibility (9 papers), Fungal Infections and Studies (5 papers) and Probiotics and Fermented Foods (4 papers). Amanda D. Davidson collaborates with scholars based in United Kingdom, France and Taiwan. Amanda D. Davidson's co-authors include Frank C. Odds, Neil A. R. Gow, Martin Maiden, Arianna Tavanti, Mette D. Jacobsen, Duncan J. Shaw, Judith M. Bain, Mary Hanson, Dorothée Diogo and B Jones and has published in prestigious journals such as Journal of Clinical Microbiology, Eukaryotic Cell and Journal of Medical Microbiology.

In The Last Decade

Amanda D. Davidson

9 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amanda D. Davidson United Kingdom 9 1.1k 864 251 200 194 9 1.2k
Seung Jung Kee South Korea 17 1.1k 1.0× 807 0.9× 253 1.0× 94 0.5× 134 0.7× 39 1.3k
Leena Joseph Kuwait 22 1.1k 1.0× 938 1.1× 175 0.7× 64 0.3× 267 1.4× 52 1.3k
Lalitha Gade United States 21 1.2k 1.1× 1.1k 1.3× 193 0.8× 94 0.5× 350 1.8× 51 1.6k
R J Kuykendall United States 18 760 0.7× 590 0.7× 161 0.6× 83 0.4× 182 0.9× 22 943
Anna Kolecka Netherlands 16 798 0.7× 856 1.0× 299 1.2× 95 0.5× 441 2.3× 36 1.3k
Dora I. McCarthy United States 18 1.1k 1.0× 873 1.0× 135 0.5× 111 0.6× 519 2.7× 21 1.6k
D. Swinne Belgium 21 823 0.8× 1.0k 1.2× 144 0.6× 60 0.3× 344 1.8× 47 1.3k
Leticia Bernal‐Martínez Spain 21 1.1k 1.0× 886 1.0× 96 0.4× 47 0.2× 293 1.5× 29 1.3k
Antonietta Vella Italy 18 659 0.6× 638 0.7× 222 0.9× 53 0.3× 371 1.9× 33 1.3k
Daniela Arzeni Italy 18 543 0.5× 496 0.6× 137 0.5× 65 0.3× 91 0.5× 38 796

Countries citing papers authored by Amanda D. Davidson

Since Specialization
Citations

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

Fields of papers citing papers by Amanda D. Davidson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amanda D. Davidson. 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 Amanda D. Davidson. The network helps show where Amanda D. Davidson may publish in the future.

Co-authorship network of co-authors of Amanda D. Davidson

This figure shows the co-authorship network connecting the top 25 collaborators of Amanda D. Davidson. A scholar is included among the top collaborators of Amanda D. Davidson 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 Amanda D. Davidson. Amanda D. Davidson 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.
Jacobsen, Mette D., Amanda D. Davidson, Shuying Li, et al.. (2008). Molecular phylogenetic analysis of Candida tropicalis isolates by multi-locus sequence typing. Fungal Genetics and Biology. 45(6). 1040–1042. 18 indexed citations
2.
Takakura, Shunji, Satoshi Ichiyama, Judith M. Bain, et al.. (2008). Comparison of Candida albicans strain types among isolates from three countries. International Journal of Medical Microbiology. 298(7-8). 663–668. 21 indexed citations
3.
Odds, Frank C., Marie‐Elisabeth Bougnoux, Duncan J. Shaw, et al.. (2007). Molecular Phylogenetics of Candida albicans. Eukaryotic Cell. 6(6). 1041–1052. 249 indexed citations
4.
Odds, Frank C., Mary Hanson, Amanda D. Davidson, et al.. (2007). One year prospective survey of Candida bloodstream infections in Scotland. Journal of Medical Microbiology. 56(8). 1066–1075. 149 indexed citations
5.
Tavanti, Arianna, et al.. (2005). Population Structure and Properties of Candida albicans , as Determined by Multilocus Sequence Typing. Journal of Clinical Microbiology. 43(11). 5601–5613. 147 indexed citations
6.
Tavanti, Arianna, Amanda D. Davidson, Elizabeth M. Johnson, et al.. (2005). Multilocus Sequence Typing for Differentiation of Strains of Candida tropicalis. Journal of Clinical Microbiology. 43(11). 5593–5600. 118 indexed citations
7.
Tavanti, Arianna, Amanda D. Davidson, Neil A. R. Gow, Martin Maiden, & Frank C. Odds. (2005). Candida orthopsilosis and Candida metapsilosis spp. nov. To Replace Candida parapsilosis Groups II and III. Journal of Clinical Microbiology. 43(1). 284–292. 486 indexed citations
8.
Freydière, A. M., et al.. (2002). Identification of Candida glabrata by a 30-Second Trehalase Test. Journal of Clinical Microbiology. 40(10). 3602–3605. 16 indexed citations
9.
Odds, Frank C. & Amanda D. Davidson. (2000). “Room temperature” use of CHROMagar Candida™. Diagnostic Microbiology and Infectious Disease. 38(3). 147–150. 33 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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