Catriona McKay

3.5k citations
7 papers · 2.9k indexed · 1 hit paper · h-index 7
Topics
Cytokine Signaling Pathways and Interactions (5 papers)Zebrafish Biomedical Research Applications (2 papers)IL-33, ST2, and ILC Pathways (2 papers)
Partner nations
United StatesJapan

In The Last Decade

Catriona McKay

7 papers receiving 2.8k citations

Hit Papers

Stat5a and Stat5b Proteins Have Essential and Nonessentia...199820262007201619982505007501000

Peers

Catriona McKay
Comparison fields: 5 of 90
  • Oncology 1.8k
  • Immunology 1.3k
  • Molecular Biology 1.0k
  • Cancer Research 464
  • Endocrinology, Diabetes and Metabolism 303
Replace Ursula Maria Wegenka with:
Ursula Maria Wegenka Germany
Claudia Lütticken Germany
Jan Buschmann Germany
Ritsu Suzuki Japan
Seturo Komiya Japan
Manuela Wissler Germany
Stany Chrétien France
Mariko Takahashi-Tezuka Japan
Franz Kohlhuber Germany
Karni Schlessinger United States
Catriona McKay relative to Ursula Maria Wegenka Germany Ursula Maria Wegenka's profile →
Citations per field
00.5×3.2×
Ursula Maria Wegenka · 1×
Citations per year

Countries citing papers authored by Catriona McKay

Since Specialization
Citations

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

Fields of papers citing papers by Catriona McKay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catriona McKay

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 118
2 397
3 57
4 477
5 446
6 304
7
Stat5a and Stat5b Proteins Have Essential and Nonessential, or Redundant, Roles in Cytokine Responsesbreakdown →
1066

About Catriona McKay

Catriona McKay is a scholar working on Oncology, Immunology and Cancer Research, having authored 7 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (5 papers), Zebrafish Biomedical Research Applications (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Oncology (1.8k citations), Immunology (1.3k citations) and Pharmacology (302 citations). Catriona McKay has collaborated with scholars based in United States and Japan. Frequent co-authors include James N. Ihle, Demin Wang, Dimitrios J. Stravopodis, Gerard C. Grosveld, Stephan Teglund, David J. Topham, Sara M. Bodner, Jan M. van Deursen, Michael P. Brown and Erin G. Schuetz. Their work appears in journals such as Cell, Journal of Biological Chemistry and Genes & Development.

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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