Lottie Brown

798 total citations · 1 hit paper
19 papers, 454 citations indexed

About

Lottie Brown is a scholar working on Infectious Diseases, Epidemiology and Ophthalmology. According to data from OpenAlex, Lottie Brown has authored 19 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 12 papers in Epidemiology and 3 papers in Ophthalmology. Recurrent topics in Lottie Brown's work include Antifungal resistance and susceptibility (9 papers), Fungal Infections and Studies (7 papers) and Pneumocystis jirovecii pneumonia detection and treatment (4 papers). Lottie Brown is often cited by papers focused on Antifungal resistance and susceptibility (9 papers), Fungal Infections and Studies (7 papers) and Pneumocystis jirovecii pneumonia detection and treatment (4 papers). Lottie Brown collaborates with scholars based in United Kingdom, United States and Canada. Lottie Brown's co-authors include Matthew J. Burton, David W. Denning, Michael Gichangi, Astrid Leck, Riina Rautemaa‐Richardson, Christopher T. Williams, Ana I. Cubas-Atienzar, Konstantina Kontogianni, Luís E. Cuevas and Rachel L. Byrne and has published in prestigious journals such as Clinical Infectious Diseases, Scientific Reports and The Lancet Infectious Diseases.

In The Last Decade

Lottie Brown

16 papers receiving 445 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The global incidence and diagnosis of fungal keratitis

2020 291 citations Lottie Brown, Astrid Leck et al. The Lancet Infectious Diseases profile →

Peers

Lottie Brown

OPHTH

PHEOH

EPIDE

RNMI

Christopher Penn United States

Gunasekaran Rameshkumar India

HN Madhavan India

Sujata Das India

Maria Cabrera‐Aguas Australia

Christadoss Arul Nelson Jesudasan India

Dalia O. Girgis United States

Pauline Khoo Australia

R Ramakrishnan India

Ariana Austin United States

Christopher Penn United States

Lottie Brown

225 ×1.2

OPHTH

125 ×0.7

117 ×0.9

PHEOH

71 ×0.7

EPIDE

32 ×0.4

RNMI

Citations per year, relative to Lottie Brown Lottie Brown (= 1×) peers Christopher Penn

Countries citing papers authored by Lottie Brown

Since Specialization

Citations

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

Fields of papers citing papers by Lottie Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lottie Brown

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

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Brown, Lottie, Ngô Thị Hoa, Linghua Li, et al.. (2025). Recent Advances in the Diagnosis of Talaromycosis. Clinical Infectious Diseases. 81(6). e533–e543. 2 indexed citations

Brown, Lottie, Mario Cruciani, Oliver Morton, et al.. (2025). The Molecular Diagnosis of Invasive Fungal Diseases with a Focus on PCR. Diagnostics. 15(15). 1909–1909. 1 indexed citations

Brown, Lottie, Alex Andrianopoulos, Patrick C. Y. Woo, & Thuy Le. (2025). The dimorphic fungus Talaromyces marneffei: An opportunistic killer in Southeast Asia. PLoS Pathogens. 21(9). e1013444–e1013444.

Brown, Lottie, et al.. (2025). Optimization and clinical evaluation of a 5.8S rRNA quantitative PCR assay for the diagnosis of talaromycosis. Medical Mycology. 63(4). 1 indexed citations

Brown, Lottie, Pedro Gonzáles, Ngô Thị Hoa, et al.. (2025). Comparative performance of a commercial and in-house Mp1p antigen-detecting enzyme immunoassay for the rapid diagnosis of talaromycosis. PLoS neglected tropical diseases. 19(8). e0013248–e0013248.

Schelenz, Silke, Alireza Abdolrasouli, Darius Armstrong‐James, et al.. (2025). British Society for Medical Mycology best practice recommendations for the diagnosis of serious fungal diseases: 2025 update. The Lancet Infectious Diseases.

Brown, Lottie, Riina Rautemaa‐Richardson, Carlo Mengoli, et al.. (2024). Polymerase Chain Reaction on Respiratory Tract Specimens of Immunocompromised Patients to Diagnose Pneumocystis Pneumonia: A Systematic Review and Meta-analysis. Clinical Infectious Diseases. 79(1). 161–168. 13 indexed citations

Brown, Lottie, Mario Cruciani, J. Peter Donnelly, Riina Rautemaa‐Richardson, & P. Lewis White. (2024). Reply to Hao and He. Clinical Infectious Diseases. 80(4). 934–935. 1 indexed citations

Brown, Lottie, Ali Hassan, Geraldine O’Hara, et al.. (2024). Severe ocular Mpox in person living with advanced HIV treated with extended course of tecovirimat. HIV Medicine. 25(9). 1086–1090. 1 indexed citations

10.

Brown, Lottie, Alexandre Alanio, Mario Cruciani, et al.. (2024). Strengths and limitations of molecular diagnostics for Pneumocystis jirovecii pneumonia. Expert Review of Molecular Diagnostics. 24(10). 899–911. 1 indexed citations

11.

Brown, Lottie, Christopher Delaney, & Alison Hainsworth. (2023). Monkeypox-associated proctitis and rectal wall perforation. BMJ Case Reports. 16(1). e252168–e252168. 4 indexed citations

12.

Brown, Lottie, et al.. (2022). The Case for Fungal Keratitis to Be Accepted as a Neglected Tropical Disease. Journal of Fungi. 8(10). 1047–1047. 22 indexed citations

13.

White, P. Lewis, Alexandre Alanio, Lottie Brown, et al.. (2022). An overview of using fungal DNA for the diagnosis of invasive mycoses. Expert Review of Molecular Diagnostics. 22(2). 169–184. 30 indexed citations

14.

Brown, Lottie, et al.. (2022). Compliance with the Updated BASHH Recurrent Vulvovaginal Candidiasis Guidelines Improves Patient Outcomes. Journal of Fungi. 8(9). 924–924. 8 indexed citations

15.

Brown, Lottie, Rachel L. Byrne, Alice J. Fraser, et al.. (2021). Self-sampling of capillary blood for SARS-CoV-2 serology. Scientific Reports. 11(1). 7754–7754. 24 indexed citations

16.

Spinelli, Matthew A., et al.. (2021). Sars-cov-2 seroprevalence and igg levels are lower among people living with hiv. 29(1). 242–242. 1 indexed citations

17.

Brown, Lottie, Astrid Leck, Michael Gichangi, Matthew J. Burton, & David W. Denning. (2020). The global incidence and diagnosis of fungal keratitis. The Lancet Infectious Diseases. 21(3). e49–e57. 291 indexed citations breakdown →

18.

Byrne, Rachel L., Konstantina Kontogianni, Ghaith Aljayyoussi, et al.. (2020). Saliva Alternative to Upper Respiratory Swabs for SARS-CoV-2 Diagnosis. Emerging infectious diseases. 26(11). 2769–2770. 47 indexed citations

19.

Brown, Lottie, Matthew J. Burton, Michael Gichangi, & David W. Denning. (2019). The Global Incidence of Fungal Keratitis. SSRN Electronic Journal. 7 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.

Explore authors with similar magnitude of impact