Ciara Twomey

548 total citations
9 papers, 445 citations indexed

About

Ciara Twomey is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Ciara Twomey has authored 9 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Physiology. Recurrent topics in Ciara Twomey's work include interferon and immune responses (2 papers), Alzheimer's disease research and treatments (2 papers) and Microtubule and mitosis dynamics (2 papers). Ciara Twomey is often cited by papers focused on interferon and immune responses (2 papers), Alzheimer's disease research and treatments (2 papers) and Microtubule and mitosis dynamics (2 papers). Ciara Twomey collaborates with scholars based in Ireland, United Kingdom and Switzerland. Ciara Twomey's co-authors include Justin V. McCarthy, James C. Powell, Andrew M. Fry, Erich A. Nigg, Patrick Descombes, Baukje M. Elzinga, George A. Foster, Joanna Bishop, Charles W. Archer and W.T. Coakley and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Journal of Cell Science.

In The Last Decade

Ciara Twomey

9 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ciara Twomey Ireland	9	273	128	118	62	60	9	445
Alan A. Finegold United States	8	343 1.3×	90 0.7×	94 0.8×	69 1.1×	102 1.7×	9	549
Jonathan Nardozzi United States	11	427 1.6×	122 1.0×	180 1.5×	98 1.6×	99 1.6×	13	847
Nathalie Allaman-Pillet Switzerland	10	267 1.0×	77 0.6×	57 0.5×	34 0.5×	26 0.4×	18	503
Jae-Sook Park United States	9	437 1.6×	277 2.2×	109 0.9×	40 0.6×	59 1.0×	10	622
Kristiina Kanerva Finland	14	385 1.4×	132 1.0×	77 0.7×	59 1.0×	20 0.3×	17	624
J Dietrich France	9	155 0.6×	78 0.6×	71 0.6×	65 1.0×	52 0.9×	23	390
Daniel M. Williams United States	10	398 1.5×	82 0.6×	57 0.5×	35 0.6×	86 1.4×	14	525
Takafumi Ichikawa Japan	13	182 0.7×	148 1.2×	76 0.6×	16 0.3×	73 1.2×	24	392
Alberto Danieli Austria	7	473 1.7×	348 2.7×	90 0.8×	57 0.9×	25 0.4×	8	877
Antoine E. Roux Canada	9	488 1.8×	57 0.4×	209 1.8×	68 1.1×	22 0.4×	10	721

Countries citing papers authored by Ciara Twomey

Since Specialization

Citations

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

Fields of papers citing papers by Ciara Twomey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ciara Twomey

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

All Works

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9 of 9 papers shown

1.

McCarthy, Justin V., et al.. (2009). Presenilin-dependent regulated intramembrane proteolysis and γ-secretase activity. Cellular and Molecular Life Sciences. 66(9). 1534–1555. 88 indexed citations

2.

Twomey, Ciara, et al.. (2009). TRAF6 promotes ubiquitination and regulated intramembrane proteolysis of IL-1R1. Biochemical and Biophysical Research Communications. 381(3). 418–423. 15 indexed citations

3.

Powell, James C., et al.. (2008). Association between Presenilin‐1 and TRAF6 modulates regulated intramembrane proteolysis of the p75^NTR neurotrophin receptor. Journal of Neurochemistry. 108(1). 216–230. 28 indexed citations

4.

Elzinga, Baukje M., et al.. (2008). Interleukin-1 Receptor Type 1 Is a Substrate for γ-Secretase-dependent Regulated Intramembrane Proteolysis. Journal of Biological Chemistry. 284(3). 1394–1409. 42 indexed citations

5.

Twomey, Ciara & Justin V. McCarthy. (2006). Presenilin‐1 is an unprimed glycogen synthase kinase‐3β substrate. FEBS Letters. 580(17). 4015–4020. 68 indexed citations

6.

Twomey, Ciara & Justin V. McCarthy. (2005). Pathways of apoptosis and importance in developement. Journal of Cellular and Molecular Medicine. 9(2). 345–359. 92 indexed citations

7.

Coakley, W.T., Despina Bazou, James P. Morgan, et al.. (2004). Cell–cell contact and membrane spreading in an ultrasound trap. Colloids and Surfaces B Biointerfaces. 34(4). 221–230. 39 indexed citations

8.

Twomey, Ciara, et al.. (2003). Nek2B stimulates zygotic centrosome assembly in Xenopus laevis in a kinase-independent manner. Developmental Biology. 265(2). 384–398. 19 indexed citations

9.

Fry, Andrew M., et al.. (2000). The NIMA-related kinase X-Nek2B is required for efficient assembly of the zygotic centrosome in Xenopus laevis. Journal of Cell Science. 113(11). 1973–1984. 54 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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