Kathy McKenna

562 total citations
10 papers, 430 citations indexed

About

Kathy McKenna is a scholar working on Physiology, Immunology and Immunology and Allergy. According to data from OpenAlex, Kathy McKenna has authored 10 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 7 papers in Immunology and 3 papers in Immunology and Allergy. Recurrent topics in Kathy McKenna's work include Asthma and respiratory diseases (8 papers), IL-33, ST2, and ILC Pathways (3 papers) and T-cell and B-cell Immunology (3 papers). Kathy McKenna is often cited by papers focused on Asthma and respiratory diseases (8 papers), IL-33, ST2, and ILC Pathways (3 papers) and T-cell and B-cell Immunology (3 papers). Kathy McKenna collaborates with scholars based in Australia, Sweden and United States. Kathy McKenna's co-authors include Patrick G. Holt, Anthony Bosco, Peter D. Sly, John W. Upham, Julie Rowe, Guicheng Zhang, Merci Kusel, Nicholas de Klerk, Elysia Hollams and Lily S. Subrata and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Kathy McKenna

10 papers receiving 421 citations

Peers

Kathy McKenna

PHYSI

IMMUN

IA

PRM

EPIDE

Lily S. Subrata Australia

Richard McKendry United Kingdom

K L Bradley United States

JM Hopkin United Kingdom

Solomon Hailé United States

X. Charlene Liao United States

Leanne M. Gardner Australia

Shiroh IDA Japan

Atsushi Moriwaki Japan

Mukesh Verma United States

Lily S. Subrata Australia

Kathy McKenna

399 ×1.6

PHYSI

311 ×1.6

IMMUN

171 ×1.5

IA

125 ×1.1

PRM

99 ×1.7

EPIDE

Citations per year, relative to Kathy McKenna Kathy McKenna (= 1×) peers Lily S. Subrata

Countries citing papers authored by Kathy McKenna

Since Specialization

Citations

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

Fields of papers citing papers by Kathy McKenna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathy McKenna

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

All Works

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10 of 10 papers shown

1.

Strickland, Deborah H., Joe Thomas, D. Mok, et al.. (2012). Defective aeroallergen surveillance by airway mucosal dendritic cells as a determinant of risk for persistent airways hyper-responsiveness in experimental asthma. Mucosal Immunology. 5(3). 332–341. 15 indexed citations

2.

Bosco, Anthony, et al.. (2012). Airway Epithelial Cells Condition Dendritic Cells to Express Multiple Immune Surveillance Genes. PLoS ONE. 7(9). e44941–e44941. 19 indexed citations

3.

Martino, David, Anthony Bosco, Kathy McKenna, et al.. (2011). T‐cell activation genes differentially expressed at birth in CD4⁺T‐cells from children who develop IgE food allergy. Allergy. 67(2). 191–200. 32 indexed citations

4.

Holt, Patrick G., Julie Rowe, Merci Kusel, et al.. (2010). Toward improved prediction of risk for atopy and asthma among preschoolers: A prospective cohort study. Journal of Allergy and Clinical Immunology. 125(3). 653–659.e7. 106 indexed citations

5.

Bosco, Anthony, Kathy McKenna, Martin J. Firth, Peter D. Sly, & Patrick G. Holt. (2009). A Network Modeling Approach to Analysis of the Th2 Memory Responses Underlying Human Atopic Disease. The Journal of Immunology. 182(10). 6011–6021. 28 indexed citations

6.

Upham, John W., et al.. (2009). Airway Epithelial Cells Regulate the Functional Phenotype of Locally Differentiating Dendritic Cells: Implications for the Pathogenesis of Infectious and Allergic Airway Disease. The Journal of Immunology. 182(1). 72–83. 68 indexed citations

7.

Zhang, Guicheng, Julie Rowe, Merci Kusel, et al.. (2008). Interleukin-10/Interleukin-5 Responses at Birth Predict Risk for Respiratory Infections in Children with Atopic Family History. American Journal of Respiratory and Critical Care Medicine. 179(3). 205–211. 53 indexed citations

8.

Yerkovich, Stephanie T., Marjut Roponen, Miranda Smith, et al.. (2008). Allergen-enhanced thrombomodulin (blood dendritic cell antigen 3, CD141) expression on dendritic cells is associated with a TH2-skewed immune response. Journal of Allergy and Clinical Immunology. 123(1). 209–216.e4. 55 indexed citations

9.

Bosco, Anthony, et al.. (2006). Identification of Novel Th2-Associated Genes in T Memory Responses to Allergens. The Journal of Immunology. 176(8). 4766–4777. 34 indexed citations

10.

McKenna, Kathy, et al.. (1985). Kinetic studies of human erythrocyte membrane resealing. Biochimica et Biophysica Acta (BBA) - Biomembranes. 815(1). 128–134. 20 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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