Jane Usher

728 total citations
23 papers, 374 citations indexed

About

Jane Usher is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Jane Usher has authored 23 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Infectious Diseases and 9 papers in Epidemiology. Recurrent topics in Jane Usher's work include Antifungal resistance and susceptibility (10 papers), Fungal Infections and Studies (9 papers) and Fungal and yeast genetics research (9 papers). Jane Usher is often cited by papers focused on Antifungal resistance and susceptibility (10 papers), Fungal Infections and Studies (9 papers) and Fungal and yeast genetics research (9 papers). Jane Usher collaborates with scholars based in United Kingdom, Canada and Ireland. Jane Usher's co-authors include Ursula Bond, Tharappel C. James, Susan G. Campbell, Ken Haynes, Andrew M. Griffiths, Neil A. R. Gow, Kristin Baetz, Linda J. Harris, Timothy C. Cairns and Delma S. Childers and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

Jane Usher

22 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jane Usher United Kingdom 12 192 107 92 79 78 23 374
Ricardo A. Ribeiro Portugal 9 242 1.3× 25 0.2× 40 0.4× 14 0.2× 65 0.8× 13 425
Krisztina Krizsán Hungary 12 163 0.8× 113 1.1× 202 2.2× 84 1.1× 23 0.3× 15 477
Chen Fei Low Malaysia 12 133 0.7× 28 0.3× 60 0.7× 42 0.5× 48 0.6× 30 455
Md. Saddam Hossain Bangladesh 10 92 0.5× 29 0.3× 142 1.5× 33 0.4× 39 0.5× 37 368
Elva Teresa Aréchiga‐Carvajal Mexico 10 145 0.8× 51 0.5× 109 1.2× 44 0.6× 59 0.8× 30 312
Roberta Rezende de Castro Belgium 10 110 0.6× 34 0.3× 44 0.5× 63 0.8× 9 0.1× 11 458
Hanan R. Shehata Canada 14 347 1.8× 29 0.3× 131 1.4× 7 0.1× 203 2.6× 32 541
Mariana Reyes‐Prieto Spain 10 155 0.8× 25 0.2× 73 0.8× 14 0.2× 46 0.6× 21 312
Eriston Vieira Gomes Brazil 10 131 0.7× 31 0.3× 443 4.8× 107 1.4× 27 0.3× 23 643
Chee-Choong Hoh Malaysia 11 93 0.5× 53 0.5× 122 1.3× 106 1.3× 84 1.1× 25 372

Countries citing papers authored by Jane Usher

Since Specialization
Citations

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

Fields of papers citing papers by Jane Usher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jane Usher

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

All Works

20 of 20 papers shown
1.
Usher, Jane, et al.. (2024). Understanding the clinical and environmental drivers of antifungal resistance in the One Health context. Microbiology. 170(10). 4 indexed citations
2.
Childers, Delma S. & Jane Usher. (2024). Is metabolic generalism the Breakfast of Champions for pathogenic Candida species?. PLoS Pathogens. 20(12). e1012752–e1012752. 1 indexed citations
3.
Roselletti, Elena, Eva Pericolini, Alexandre Nore, et al.. (2023). Zinc prevents vaginal candidiasis by inhibiting expression of an inflammatory fungal protein. Science Translational Medicine. 15(725). eadi3363–eadi3363. 30 indexed citations
4.
Usher, Jane, et al.. (2023). Is There a Relationship Between Mating and Pathogenesis in Two Human Fungal Pathogens, Candida albicans and Candida glabrata?. Current Clinical Microbiology Reports. 10(2). 47–54. 2 indexed citations
5.
Usher, Jane, et al.. (2023). The Candida glabrata Parent Strain Trap: How Phenotypic Diversity Affects Metabolic Fitness and Host Interactions. Microbiology Spectrum. 11(1). e0372422–e0372422. 9 indexed citations
6.
Usher, Jane, et al.. (2023). Candida glabrata: A powerhouse of resistance. PLoS Pathogens. 19(10). e1011651–e1011651. 18 indexed citations
7.
Kumar, Mohit, Atanu Banerjee, Jane Usher, et al.. (2022). Fluconazole resistant Candida auris clinical isolates have increased levels of cell wall chitin and increased susceptibility to a glucosamine-6-phosphate synthase inhibitor. SHILAP Revista de lepidopterología. 8. 100076–100076. 20 indexed citations
9.
Gaze, William H., Neil A. R. Gow, Alwyn Hart, et al.. (2022). Antifungal Exposure and Resistance Development: Defining Minimal Selective Antifungal Concentrations and Testing Methodologies. SHILAP Revista de lepidopterología. 3. 918717–918717. 18 indexed citations
10.
Gow, Neil A. R., et al.. (2020). Advances in Molecular Tools and In Vivo Models for the Study of Human Fungal Pathogenesis. Microorganisms. 8(6). 803–803. 11 indexed citations
12.
Usher, Jane, et al.. (2020). Functional Characterization of a Novel Oxidative Stress Protection Protein in the Pathogenic Yeast Candida glabrata. Frontiers in Genetics. 11. 530915–530915. 3 indexed citations
13.
Usher, Jane. (2019). The Mechanisms of Mating in Pathogenic Fungi—A Plastic Trait. Genes. 10(10). 831–831. 13 indexed citations
14.
Usher, Jane & Ken Haynes. (2019). Attenuating the emergence of anti-fungal drug resistance by harnessing synthetic lethal interactions in a model organism. PLoS Genetics. 15(8). e1008259–e1008259. 17 indexed citations
15.
Paris, Josephine R. & Jane Usher. (2019). Functional genomic characterization of metallothioneins in brown trout (Salmo trutta L.). using synthetic genetic analysis. Scientific Reports. 9(1). 11827–11827. 1 indexed citations
16.
Usher, Jane, et al.. (2019). Using DNA Barcoding to Investigate Patterns of Species Utilisation in UK Shark Products Reveals Threatened Species on Sale. Scientific Reports. 9(1). 1028–1028. 50 indexed citations
17.
Usher, Jane, et al.. (2015). A suite of Gateway® compatible ternary expression vectors for functional analysis in Zymoseptoria tritici. Fungal Genetics and Biology. 79. 180–185. 10 indexed citations
18.
Usher, Jane, Graham H. Thomas, & Ken Haynes. (2015). Utilising established SDL-screening methods as a tool for the functional genomic characterisation of model and non-model organisms. FEMS Yeast Research. 15(8). fov091–fov091. 4 indexed citations
19.
Cairns, Timothy C., Jane Usher, Nicholas J. Talbot, et al.. (2015). Exploitation of sulfonylurea resistance marker and non-homologous end joining mutants for functional analysis in Zymoseptoria tritici. Fungal Genetics and Biology. 79. 102–109. 16 indexed citations
20.
James, Tharappel C., Jane Usher, Susan G. Campbell, & Ursula Bond. (2008). Lager yeasts possess dynamic genomes that undergo rearrangements and gene amplification in response to stress. Current Genetics. 53(3). 139–152. 68 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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