Justin V. McCarthy

1.7k total citations
32 papers, 1.4k citations indexed

About

Justin V. McCarthy is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Justin V. McCarthy has authored 32 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 9 papers in Physiology and 7 papers in Immunology. Recurrent topics in Justin V. McCarthy's work include Alzheimer's disease research and treatments (9 papers), Cell death mechanisms and regulation (6 papers) and Ubiquitin and proteasome pathways (6 papers). Justin V. McCarthy is often cited by papers focused on Alzheimer's disease research and treatments (9 papers), Cell death mechanisms and regulation (6 papers) and Ubiquitin and proteasome pathways (6 papers). Justin V. McCarthy collaborates with scholars based in Ireland, United States and India. Justin V. McCarthy's co-authors include Vishva M. Dixit, Ciara Twomey, Jian Ni, Thomas G. Cotter, Shu-Chi Hsu, Barbara Cordell, James C. Powell, Baukje M. Elzinga, Vishal Agrawal and Jyoti Chhibber‐Goel and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Biochemical and Biophysical Research Communications.

In The Last Decade

Justin V. McCarthy

32 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Justin V. McCarthy Ireland 17 873 398 347 215 191 32 1.4k
Anthony A. High United States 23 1.2k 1.4× 285 0.7× 184 0.5× 237 1.1× 74 0.4× 44 1.8k
Atsushi Hashimoto Japan 24 866 1.0× 242 0.6× 213 0.6× 79 0.4× 213 1.1× 73 2.0k
Brent J. Passer United States 17 825 0.9× 170 0.4× 392 1.1× 108 0.5× 209 1.1× 19 1.3k
Dinko Berkovic Germany 15 1.0k 1.2× 397 1.0× 201 0.6× 223 1.0× 74 0.4× 28 1.6k
Lazaros C. Foukas United Kingdom 18 1.4k 1.6× 347 0.9× 185 0.5× 141 0.7× 81 0.4× 25 2.0k
K. Yoshino Japan 6 1.5k 1.8× 266 0.7× 186 0.5× 136 0.6× 83 0.4× 7 1.9k
Masashi Watanabe Japan 20 794 0.9× 374 0.9× 161 0.5× 132 0.6× 104 0.5× 59 1.4k
Iwao Ohkubo Japan 26 874 1.0× 244 0.6× 160 0.5× 195 0.9× 228 1.2× 94 1.8k
Masataka Horiuchi Japan 19 689 0.8× 550 1.4× 192 0.6× 111 0.5× 132 0.7× 32 1.4k

Countries citing papers authored by Justin V. McCarthy

Since Specialization
Citations

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

Fields of papers citing papers by Justin V. McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin V. McCarthy. 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 Justin V. McCarthy. The network helps show where Justin V. McCarthy may publish in the future.

Co-authorship network of co-authors of Justin V. McCarthy

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

All Works

20 of 20 papers shown
1.
Hurst, Tara, et al.. (2016). Regulated intramembrane proteolysis, innate immunity and therapeutic targets in Alzheimer’s disease. SHILAP Revista de lepidopterología. 3(2). 138–157. 1 indexed citations
2.
McCarthy, Justin V., et al.. (2015). Loss of Presenilin 2 Function Is Associated with Defective LPS-Mediated Innate Immune Responsiveness. Molecular Neurobiology. 53(5). 3428–3438. 14 indexed citations
3.
MacSharry, John, et al.. (2015). Gamma-secretase-independent role for cadherin-11 in neurotrophin receptor p75 (p75NTR) mediated glioblastoma cell migration. Molecular and Cellular Neuroscience. 69. 41–53. 13 indexed citations
4.
McCarthy, Justin V., et al.. (2015). A ubiquitin‐binding CUE domain in presenilin‐1 enables interaction with K63‐linked polyubiquitin chains. FEBS Letters. 589(9). 1001–1008. 8 indexed citations
5.
McCarthy, Justin V., et al.. (2015). Beyond γ-secretase activity: The multifunctional nature of presenilins in cell signalling pathways. Cellular Signalling. 28(1). 1–11. 83 indexed citations
6.
McCarthy, Justin V., et al.. (2013). Presenilins are novel substrates for TRAF6-mediated ubiquitination. Cellular Signalling. 25(9). 1769–1779. 11 indexed citations
7.
Schellekens, Harriët, et al.. (2012). Semagacestat, a γ-secretase inhibitor, activates the growth hormone secretagogue (GHS-R1a) receptor. Journal of Pharmacy and Pharmacology. 65(4). 528–538. 11 indexed citations
8.
McCarthy, Justin V., et al.. (2010). Presenilin and γ -Secretase Activity: A Viable Therapeutic Target for Alzheimers Disease?. Current Signal Transduction Therapy. 5(2). 128–140. 4 indexed citations
9.
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
10.
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
11.
Powell, James C., et al.. (2008). Association between Presenilin‐1 and TRAF6 modulates regulated intramembrane proteolysis of the p75NTR neurotrophin receptor. Journal of Neurochemistry. 108(1). 216–230. 28 indexed citations
12.
Powell, James C., et al.. (2007). The insulin-like growth factor 1 (IGF-1) receptor is a substrate for γ-secretase-mediated intramembrane proteolysis. Biochemical and Biophysical Research Communications. 358(4). 1136–1141. 46 indexed citations
13.
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
14.
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
15.
McCarthy, Justin V.. (2003). Apoptosis and development. Essays in Biochemistry. 39. 11–24. 8 indexed citations
16.
Hsu, Shu-Chi, et al.. (2001). Glycogen Synthase Kinase-3β Regulates Presenilin 1 C-terminal Fragment Levels. Journal of Biological Chemistry. 276(33). 30701–30707. 88 indexed citations
17.
McCarthy, Justin V., Jian Ni, & Vishva M. Dixit. (1998). RIP2 Is a Novel NF-κB-activating and Cell Death-inducing Kinase. Journal of Biological Chemistry. 273(27). 16968–16975. 373 indexed citations
18.
McCarthy, Justin V. & Vishva M. Dixit. (1998). Apoptosis Induced by Drosophila Reaper and Grim in a Human System. Journal of Biological Chemistry. 273(37). 24009–24015. 81 indexed citations
19.
McCarthy, Justin V. & Thomas G. Cotter. (1997). Cell shrinkage and apoptosis: a role for potassium and sodium ion efflux. Cell Death and Differentiation. 4(8). 756–770. 111 indexed citations
20.
Cotter, Thomas G., et al.. (1994). Cell Death in the Myeloid Lineage. Immunological Reviews. 142(1). 93–112. 33 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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