Jamie L. Everman

1.7k total citations
28 papers, 670 citations indexed

About

Jamie L. Everman is a scholar working on Epidemiology, Molecular Biology and Physiology. According to data from OpenAlex, Jamie L. Everman has authored 28 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 10 papers in Molecular Biology and 9 papers in Physiology. Recurrent topics in Jamie L. Everman's work include Asthma and respiratory diseases (9 papers), Respiratory viral infections research (6 papers) and Mycobacterium research and diagnosis (6 papers). Jamie L. Everman is often cited by papers focused on Asthma and respiratory diseases (9 papers), Respiratory viral infections research (6 papers) and Mycobacterium research and diagnosis (6 papers). Jamie L. Everman collaborates with scholars based in United States, Canada and Egypt. Jamie L. Everman's co-authors include Max A. Seibold, Cydney Rios, Lia Danelishvili, Luiz E. Bermudez, Satria P. Sajuthi, Katherine C. Goldfarbmuren, Nathan D. Jackson, Eszter K. Vladar, Michael J. McNamara and Celeste Eng and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Allergy and Clinical Immunology.

In The Last Decade

Jamie L. Everman

27 papers receiving 668 citations

Peers

Jamie L. Everman
John G. Rino United States
Catherine Sabatel Belgium
Alejandra Goldman Argentina
Vitor E. Fernandes United Kingdom
Dulceaydee Gigliotti Sweden
Svetlana P. Amineva United States
Gayathriy Balamayooran United States
Mingyuan Han United States
René M. Roy United States
Jacqueline U. McDonald United Kingdom
John G. Rino United States
Jamie L. Everman
Citations per year, relative to Jamie L. Everman Jamie L. Everman (= 1×) peers John G. Rino

Countries citing papers authored by Jamie L. Everman

Since Specialization
Citations

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

Fields of papers citing papers by Jamie L. Everman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jamie L. Everman. 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 Jamie L. Everman. The network helps show where Jamie L. Everman may publish in the future.

Co-authorship network of co-authors of Jamie L. Everman

This figure shows the co-authorship network connecting the top 25 collaborators of Jamie L. Everman. A scholar is included among the top collaborators of Jamie L. Everman 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 Jamie L. Everman. Jamie L. Everman 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.
2.
Bochkov, Yury A., Hee-Jung Lee, Jamie L. Everman, et al.. (2024). Surfactant Protein A Inhibits Human Rhinovirus C Binding and Infection of Airway Epithelial Cells from Pediatric Asthma. Viruses. 16(11). 1709–1709. 1 indexed citations
3.
Navanandan, Nidhya, Nathan D. Jackson, Jamie L. Everman, et al.. (2024). Viral Determinants of Childhood Asthma Exacerbation Severity and Treatment Response. The Journal of Allergy and Clinical Immunology In Practice. 13(1). 95–104.e5. 2 indexed citations
4.
Jackson, Nathan D., Nathan Dyjack, Elena Goleva, et al.. (2024). Atopic Dermatitis Complicated by Recurrent Eczema Herpeticum Is Characterized by Multiple, Concurrent Epidermal Inflammatory Endotypes. SHILAP Revista de lepidopterología. 4(4). 100279–100279. 2 indexed citations
5.
Secor, E.A., Jamie L. Everman, Katrina Diener, et al.. (2024). Rhinovirus (HRV) Infection Drives Severe Wheezing Episodes in Toddlers: Viral Metagenomic Analysis in the WINDOWS Study. A7152–A7152. 1 indexed citations
6.
Numata, Mari, Satria P. Sajuthi, Yury A. Bochkov, et al.. (2023). Anionic Pulmonary Surfactant Lipid Treatment Inhibits Rhinovirus A Infection of the Human Airway Epithelium. Viruses. 15(3). 747–747. 6 indexed citations
7.
Pino‐Yanes, Maria, Elizabeth G. Plender, Jamie L. Everman, et al.. (2023). Epigenomic response to albuterol treatment in asthma-relevant airway epithelial cells. Clinical Epigenetics. 15(1). 156–156. 6 indexed citations
8.
Schweitzer, Kelly S., Daniel G. Foster, Satria P. Sajuthi, et al.. (2021). Influenza virus infection increases ACE2 expression and shedding in human small airway epithelial cells. European Respiratory Journal. 58(1). 2003988–2003988. 40 indexed citations
9.
Montgomery, Michael T., Satria P. Sajuthi, Seung‐Hyun Cho, et al.. (2020). Genome-Wide Analysis Reveals Mucociliary Remodeling of the Nasal Airway Epithelium Induced by Urban PM2.5. American Journal of Respiratory Cell and Molecular Biology. 63(2). 172–184. 38 indexed citations
10.
Jackson, Nathan D., Jamie L. Everman, Maurizio Chioccioli, et al.. (2020). Single-Cell and Population Transcriptomics Reveal Pan-epithelial Remodeling in Type 2-High Asthma. Cell Reports. 32(1). 107872–107872. 82 indexed citations
11.
Goldfarbmuren, Katherine C., Nathan D. Jackson, Satria P. Sajuthi, et al.. (2020). Dissecting the cellular specificity of smoking effects and reconstructing lineages in the human airway epithelium. Nature Communications. 11(1). 2485–2485. 129 indexed citations
12.
Everman, Jamie L., Satria P. Sajuthi, Benjamin Saef, et al.. (2019). Functional genomics of CDHR3 confirms its role in HRV-C infection and childhood asthma exacerbations. Journal of Allergy and Clinical Immunology. 144(4). 962–971. 57 indexed citations
13.
Bermudez, Luiz E., et al.. (2018). Establishment of a Host-to-Host Transmission Model for Mycobacterium avium subsp. hominissuis Using Caenorhabditis elegans and Identification of Colonization-Associated Genes. Frontiers in Cellular and Infection Microbiology. 8. 123–123. 6 indexed citations
14.
Everman, Jamie L., Cydney Rios, & Max A. Seibold. (2018). Utilization of Air–Liquid Interface Cultures as an In Vitro Model to Assess Primary Airway Epithelial Cell Responses to the Type 2 Cytokine Interleukin-13. Methods in molecular biology. 1799. 419–432. 10 indexed citations
15.
Everman, Jamie L., et al.. (2018). MAP1203 Promotes Mycobacterium avium Subspecies paratuberculosis Binding and Invasion to Bovine Epithelial Cells. Frontiers in Cellular and Infection Microbiology. 8. 217–217. 6 indexed citations
16.
Everman, Jamie L., Cydney Rios, & Max A. Seibold. (2018). Primary Airway Epithelial Cell Gene Editing Using CRISPR-Cas9. Methods in molecular biology. 1706. 267–292. 10 indexed citations
17.
Wesolowska‐Andersen, Agata, Jamie L. Everman, Rebecca M. Davidson, et al.. (2017). Dual RNA-seq reveals viral infections in asthmatic children without respiratory illness which are associated with changes in the airway transcriptome. Genome biology. 18(1). 12–12. 45 indexed citations
18.
Gordon, Erin, Joe Palandra, Agata Wesolowska‐Andersen, et al.. (2016). IL1RL1 asthma risk variants regulate airway type 2 inflammation. JCI Insight. 1(14). e87871–e87871. 43 indexed citations
19.
Bannantine, John P., Jamie L. Everman, Sasha J. Rose, et al.. (2014). Evaluation of eight live attenuated vaccine candidates for protection against challenge with virulent Mycobacterium avium subspecies paratuberculosis in mice. Frontiers in Cellular and Infection Microbiology. 4. 88–88. 26 indexed citations
20.

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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