Catriona McKay

3.5k total citations · 1 hit paper
7 papers, 2.9k citations indexed

About

Catriona McKay is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Catriona McKay has authored 7 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Catriona McKay's work include Cytokine Signaling Pathways and Interactions (5 papers), Zebrafish Biomedical Research Applications (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). Catriona McKay is often cited by papers focused on Cytokine Signaling Pathways and Interactions (5 papers), Zebrafish Biomedical Research Applications (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). Catriona McKay collaborates with scholars based in United States and Japan. Catriona McKay's 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 and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Catriona McKay

7 papers receiving 2.8k 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.

Stat5a and Stat5b Proteins Have Essential and Nonessential, or Redundant, Roles in Cytokine Responses

1998 1.1k citations Stephan Teglund, Catriona McKay et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Catriona McKay United States	7	1.8k	1.3k	1.0k	464	303	7	2.9k
Ursula Maria Wegenka Germany	16	1.5k 0.8×	1.0k 0.8×	899 0.9×	388 0.8×	94 0.3×	19	2.2k
Claudia Lütticken Germany	12	1.5k 0.8×	896 0.7×	878 0.9×	398 0.9×	94 0.3×	13	2.1k
Jan Buschmann Germany	10	1.3k 0.7×	776 0.6×	783 0.8×	350 0.8×	84 0.3×	11	1.9k
Ritsu Suzuki Japan	9	1.4k 0.8×	942 0.7×	599 0.6×	227 0.5×	111 0.4×	9	1.9k
Stany Chrétien France	29	970 0.5×	638 0.5×	1.9k 1.9×	277 0.6×	116 0.4×	64	3.4k
Manuela Wissler Germany	15	919 0.5×	512 0.4×	859 0.8×	310 0.7×	236 0.8×	18	1.8k
Seturo Komiya Japan	3	1.1k 0.6×	679 0.5×	585 0.6×	181 0.4×	84 0.3×	4	1.5k
Ling-Mei Wang United States	18	592 0.3×	487 0.4×	962 0.9×	219 0.5×	173 0.6×	32	1.8k
Franz Kohlhuber Germany	15	825 0.4×	357 0.3×	1.1k 1.1×	281 0.6×	53 0.2×	17	1.8k
Karni Schlessinger United States	13	917 0.5×	526 0.4×	1.3k 1.2×	293 0.6×	41 0.1×	15	2.3k

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

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

7 of 7 papers shown

1.

Kume, Tsutomu, et al.. (2002). Absence of Erythrogenesis and Vasculogenesis in Plcg1-deficient Mice. Journal of Biological Chemistry. 277(11). 9335–9341. 118 indexed citations

2.

Baudino, Troy A., Catriona McKay, Jonas A. Nilsson, et al.. (2002). c-Myc is essential for vasculogenesis and angiogenesis during development and tumor progression. Genes & Development. 16(19). 2530–2543. 397 indexed citations

3.

Wen, Renren, Demin Wang, Catriona McKay, et al.. (2001). Jak3 Selectively Regulates Bax and Bcl-2 Expression To Promote T-Cell Development. Molecular and Cellular Biology. 21(2). 678–689. 57 indexed citations

4.

Marine, Jean‐Christophe, David J. Topham, Catriona McKay, et al.. (1999). SOCS1 Deficiency Causes a Lymphocyte-Dependent Perinatal Lethality. Cell. 98(5). 609–616. 446 indexed citations

5.

Moriggl, Richard, David J. Topham, Stephan Teglund, et al.. (1999). Stat5 Is Required for IL-2-Induced Cell Cycle Progression of Peripheral T Cells. Immunity. 10(2). 249–259. 477 indexed citations

6.

Marine, Jean‐Christophe, Catriona McKay, Demin Wang, et al.. (1999). SOCS3 Is Essential in the Regulation of Fetal Liver Erythropoiesis. Cell. 98(5). 617–627. 304 indexed citations

7.

Teglund, Stephan, Catriona McKay, Erin G. Schuetz, et al.. (1998). Stat5a and Stat5b Proteins Have Essential and Nonessential, or Redundant, Roles in Cytokine Responses. Cell. 93(5). 841–850. 1066 indexed citations breakdown →

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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