Kathy Banahan

1.1k total citations · 1 hit paper
6 papers, 687 citations indexed

About

Kathy Banahan is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Kathy Banahan has authored 6 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Cancer Research. Recurrent topics in Kathy Banahan's work include Inflammasome and immune disorders (3 papers), NF-κB Signaling Pathways (2 papers) and Immune Response and Inflammation (2 papers). Kathy Banahan is often cited by papers focused on Inflammasome and immune disorders (3 papers), NF-κB Signaling Pathways (2 papers) and Immune Response and Inflammation (2 papers). Kathy Banahan collaborates with scholars based in Ireland, United States and United Kingdom. Kathy Banahan's co-authors include Luke O'neill, Anne F. McGettrick, Sarah E. Corcoran, Román Fischer, Melanie C. Ruzek, Peter F. Slivka, Marah C. Runtsch, Stefano Angiari, Chris Ling and Alexander Hooftman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Immunology and Cell Metabolism.

In The Last Decade

Kathy Banahan

6 papers receiving 685 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.

The Immunomodulatory Metabolite Itaconate Modifies NLRP3 and Inhibits Inflammasome Activation

2020 406 citations Alexander Hooftman, Stefano Angiari et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kathy Banahan Ireland	5	401	351	98	82	57	6	687
Alexander Hooftman Ireland	6	318 0.8×	393 1.1×	68 0.7×	36 0.4×	53 0.9×	8	688
Bianca Doninger Austria	10	285 0.7×	153 0.4×	83 0.8×	43 0.5×	52 0.9×	10	521
Daniel S. Simpson Australia	8	215 0.5×	459 1.3×	108 1.1×	44 0.5×	42 0.7×	8	635
Chuyi Tan China	12	286 0.7×	262 0.7×	124 1.3×	42 0.5×	21 0.4×	25	573
Stephen Rosenberg United States	6	524 1.3×	873 2.5×	107 1.1×	80 1.0×	42 0.7×	7	1.0k
B. Neumann Germany	9	486 1.2×	188 0.5×	180 1.8×	69 0.8×	58 1.0×	15	800
Ziyue Lu Canada	15	286 0.7×	160 0.5×	92 0.9×	57 0.7×	33 0.6×	19	696
Sohel Shamsuzzaman United States	9	224 0.6×	286 0.8×	65 0.7×	57 0.7×	39 0.7×	12	576
Adam C. Labonte United States	7	374 0.9×	193 0.5×	60 0.6×	48 0.6×	100 1.8×	10	684

Countries citing papers authored by Kathy Banahan

Since Specialization

Citations

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

Fields of papers citing papers by Kathy Banahan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathy Banahan

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

All Works

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6 of 6 papers shown

1.

Hooftman, Alexander, Stefano Angiari, Svenja Hester, et al.. (2020). The Immunomodulatory Metabolite Itaconate Modifies NLRP3 and Inhibits Inflammasome Activation. Cell Metabolism. 32(3). 468–478.e7. 406 indexed citations breakdown →

2.

Durrani, Omar M., Kathy Banahan, Frederick J. Sheedy, et al.. (2011). TIRAP Ser180Leu polymorphism is associated with Behcet's disease. Lara D. Veeken. 50(10). 1760–1765. 28 indexed citations

3.

Plantinga, Theo S., Omar JM Hamza, Janet A. Willment, et al.. (2010). Genetic Variation of Innate Immune Genes in HIV-Infected African Patients With or Without Oropharyngeal Candidiasis. JAIDS Journal of Acquired Immune Deficiency Syndromes. 55(1). 87–94. 35 indexed citations

4.

Pålsson‐McDermott, Eva M., Sarah Doyle, Anne F. McGettrick, et al.. (2009). TAG, a splice variant of the adaptor TRAM, negatively regulates the adaptor MyD88–independent TLR4 pathway. Nature Immunology. 10(6). 579–586. 113 indexed citations

5.

Miggin, Sinéad M., Eva M. Pålsson‐McDermott, Aisling Dunne, et al.. (2007). NF-κB activation by the Toll-IL-1 receptor domain protein MyD88 adapter-like is regulated by caspase-1. Proceedings of the National Academy of Sciences. 104(9). 3372–3377. 104 indexed citations

6.

Miggin, Sinéad M., Eva M. Pålsson‐McDermott, Aisling Dunne, et al.. (2007). 100 NF-κB Activation by Mal/Tirap is Regulated by Caspase-1. Cytokine. 39(1). 27–28. 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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