Heather Mead

616 total citations
19 papers, 158 citations indexed

About

Heather Mead is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Heather Mead has authored 19 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 8 papers in Infectious Diseases and 6 papers in Molecular Biology. Recurrent topics in Heather Mead's work include Fungal Infections and Studies (9 papers), Plant Pathogens and Fungal Diseases (6 papers) and Antifungal resistance and susceptibility (5 papers). Heather Mead is often cited by papers focused on Fungal Infections and Studies (9 papers), Plant Pathogens and Fungal Diseases (6 papers) and Antifungal resistance and susceptibility (5 papers). Heather Mead collaborates with scholars based in United States, Brazil and Australia. Heather Mead's co-authors include Bridget M. Barker, Marcus de Melo Teixeira, John N. Galgiani, Heather D. Bean, Paul Keim, Chandler C. Roe, John A. Altin, Jason W. Sahl, Jason T. Ladner and George R. Thompson and has published in prestigious journals such as Nature Communications, Nature Protocols and Frontiers in Immunology.

In The Last Decade

Heather Mead

18 papers receiving 157 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heather Mead United States 8 103 58 46 35 33 19 158
Idoia Buldain Spain 10 99 1.0× 147 2.5× 49 1.1× 64 1.8× 62 1.9× 17 240
Elizabeth Petzold United States 4 112 1.1× 135 2.3× 51 1.1× 75 2.1× 16 0.5× 5 245
Tomo Mihara Japan 9 204 2.0× 253 4.4× 33 0.7× 29 0.8× 30 0.9× 13 298
Radim Dobiáš Czechia 10 140 1.4× 104 1.8× 32 0.7× 20 0.6× 84 2.5× 29 223
Leonardo Eurípedes Andrade-Silva Brazil 12 260 2.5× 227 3.9× 28 0.6× 42 1.2× 40 1.2× 25 317
Milène Sasso France 8 111 1.1× 131 2.3× 13 0.3× 16 0.5× 33 1.0× 19 176
Patrícia Fernanda Herkert Brazil 10 189 1.8× 200 3.4× 41 0.9× 31 0.9× 78 2.4× 15 281
Inmaculada Quiles‐Melero Spain 8 104 1.0× 107 1.8× 8 0.2× 56 1.6× 33 1.0× 15 188
Marco Passera Italy 10 186 1.8× 189 3.3× 16 0.3× 20 0.6× 74 2.2× 16 276
Margherita Bertuzzi United Kingdom 10 99 1.0× 175 3.0× 68 1.5× 96 2.7× 41 1.2× 19 297

Countries citing papers authored by Heather Mead

Since Specialization
Citations

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

Fields of papers citing papers by Heather Mead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heather Mead

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

All Works

19 of 19 papers shown
1.
Elko, Evan A., Charles H. D. Williamson, Heather Mead, et al.. (2025). PepSeq as a highly multiplexed platform for melioidosis antigen discovery and vaccine development. Frontiers in Immunology. 16. 1605758–1605758.
2.
Elko, Evan A., et al.. (2024). Recurrent SARS-CoV-2 mutations at Spike D796 evade antibodies from pre-Omicron convalescent and vaccinated subjects. Microbiology Spectrum. 12(2). e0329123–e0329123. 6 indexed citations
3.
Mead, Heather, Holly Yin, George R. Thompson, et al.. (2024). In vitro small molecule screening to inform novel candidates for use in fluconazole combination therapy in vivo against Coccidioides. Microbiology Spectrum. 12(10). e0100824–e0100824. 1 indexed citations
4.
Mead, Heather, et al.. (2023). Volatile Metabolites in Lavage Fluid Are Correlated with Cytokine Production in a Valley Fever Murine Model. Journal of Fungi. 9(1). 115–115. 4 indexed citations
5.
Mead, Heather, Irene Ruberto, John A. Altin, et al.. (2023). “Sniffing” out SARS-CoV-2 in Arizona working dogs: an exploratory serosurvey. Frontiers in Veterinary Science. 10. 1166101–1166101. 3 indexed citations
6.
Kelley, Erin, Anna Engelbrektson, Heather Mead, et al.. (2023). Virome-wide detection of natural infection events and the associated antibody dynamics using longitudinal highly-multiplexed serology. Nature Communications. 14(1). 1783–1783. 13 indexed citations
7.
Teixeira, Marcus de Melo, Jason Stajich, Jason W. Sahl, et al.. (2022). A chromosomal-level reference genome of the widely utilized Coccidioides posadasii laboratory strain “Silveira”. G3 Genes Genomes Genetics. 12(4). 12 indexed citations
8.
Elko, Evan A., Yong Liang, Anna Engelbrektson, et al.. (2022). PepSeq: a fully in vitro platform for highly multiplexed serology using customizable DNA-barcoded peptide libraries. Nature Protocols. 18(2). 396–423. 16 indexed citations
9.
Mead, Heather, et al.. (2022). Coccidioidomycosis in Northern Arizona: an Investigation of the Host, Pathogen, and Environment Using a Disease Triangle Approach. mSphere. 7(5). e0035222–e0035222. 5 indexed citations
10.
Mead, Heather, et al.. (2021). Life Cycle Dominates the Volatilome Character of Dimorphic Fungus Coccidioides spp.. mSphere. 6(2). 7 indexed citations
11.
Gorris, Morgan E., et al.. (2021). A Review of Coccidioides Research, Outstanding Questions in the Field, and Contributions by Women Scientists. Current Clinical Microbiology Reports. 8(3). 114–128. 2 indexed citations
12.
Kelley, Erin, Sandra Zurawski, Heather Mead, et al.. (2021). A Framework to Identify Antigen-Expanded T Cell Receptor Clusters Within Complex Repertoires. Frontiers in Immunology. 12. 735584–735584. 2 indexed citations
13.
Mead, Heather, et al.. (2020). Defining Critical Genes During Spherule Remodeling and Endospore Development in the Fungal Pathogen, Coccidioides posadasii. Frontiers in Genetics. 11. 483–483. 20 indexed citations
14.
Mead, Heather, Marcus de Melo Teixeira, Christopher S. Wendel, et al.. (2020). Differential Thermotolerance Adaptation between Species of Coccidioides. Journal of Fungi. 6(4). 366–366. 22 indexed citations
15.
Teixeira, Marcus de Melo, Anna Muszewska, Jason Travis, et al.. (2020). Genomic characterization of Parengyodontium americanum sp. nov. Fungal Genetics and Biology. 138. 103351–103351. 4 indexed citations
16.
Mead, Heather, et al.. (2020). Proper Care and Feeding of Coccidioides: A Laboratorian's Guide to Cultivating the Dimorphic Stages of C. immitis and C. posadasii. Current Protocols in Microbiology. 58(1). e113–e113. 17 indexed citations
17.
Mead, Heather, et al.. (2019). Heat Inactivation of Coccidioides posadasii and Coccidioides immitis for Use in Lower Biosafety Containment. Applied Biosafety. 24(3). 123–128. 6 indexed citations
18.
Mead, Heather, Marcus de Melo Teixeira, John N. Galgiani, & Bridget M. Barker. (2018). Characterizing in vitro spherule morphogenesis of multiple strains of both species of Coccidioides. Medical Mycology. 57(4). 478–488. 17 indexed citations
19.
Mead, Heather. (2004). Reaching the People. Linux journal. 65. 1 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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