Eain A. Murphy

2.4k total citations
37 papers, 1.9k citations indexed

About

Eain A. Murphy is a scholar working on Epidemiology, Molecular Biology and Parasitology. According to data from OpenAlex, Eain A. Murphy has authored 37 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Epidemiology, 10 papers in Molecular Biology and 10 papers in Parasitology. Recurrent topics in Eain A. Murphy's work include Cytomegalovirus and herpesvirus research (31 papers), Herpesvirus Infections and Treatments (23 papers) and Toxoplasma gondii Research Studies (9 papers). Eain A. Murphy is often cited by papers focused on Cytomegalovirus and herpesvirus research (31 papers), Herpesvirus Infections and Treatments (23 papers) and Toxoplasma gondii Research Studies (9 papers). Eain A. Murphy collaborates with scholars based in United States, United Kingdom and Japan. Eain A. Murphy's co-authors include Thomas Shenk, Christine M. O’Connor, Jiří Vaníček, Jay A. Nelson, Harlan Robins, Arnold J. Levine, Masatoshi Nukui, Michael A. Jarvis, Jeremy Schmutz and Gabriele Hahn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Immunology.

In The Last Decade

Eain A. Murphy

34 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eain A. Murphy United States 20 1.5k 524 437 423 257 37 1.9k
Jin‐Hyun Ahn South Korea 28 1.1k 0.7× 929 1.8× 307 0.7× 602 1.4× 119 0.5× 66 1.9k
Wade A. Bresnahan United States 27 1.6k 1.1× 594 1.1× 397 0.9× 675 1.6× 71 0.3× 31 2.2k
Christina Paulus Germany 23 952 0.6× 620 1.2× 192 0.4× 765 1.8× 81 0.3× 33 1.8k
Laura Hertel United States 18 563 0.4× 302 0.6× 118 0.3× 317 0.7× 58 0.2× 42 944
Mude Shi United States 13 425 0.3× 839 1.6× 69 0.2× 1.2k 2.9× 235 0.9× 23 1.8k
Zsolt Tóth United States 21 1.1k 0.7× 524 1.0× 80 0.2× 339 0.8× 115 0.4× 41 1.7k
Shenghua Zhou United States 17 606 0.4× 359 0.7× 63 0.1× 1.3k 3.0× 114 0.4× 24 1.8k
Chenhe Su China 22 635 0.4× 488 0.9× 50 0.1× 822 1.9× 162 0.6× 27 1.4k
Juliet V. Spencer United States 19 960 0.6× 155 0.3× 156 0.4× 575 1.4× 29 0.1× 36 1.3k
Gregory Duke United States 11 526 0.3× 346 0.7× 77 0.2× 185 0.4× 116 0.5× 12 1.1k

Countries citing papers authored by Eain A. Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Eain A. Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eain A. Murphy. 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 Eain A. Murphy. The network helps show where Eain A. Murphy may publish in the future.

Co-authorship network of co-authors of Eain A. Murphy

This figure shows the co-authorship network connecting the top 25 collaborators of Eain A. Murphy. A scholar is included among the top collaborators of Eain A. Murphy 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 Eain A. Murphy. Eain A. Murphy 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.
Nukui, Masatoshi, et al.. (2025). Protein-S-nitrosylation of human cytomegalovirus pp65 reduces its ability to undermine cGAS. Journal of Virology. 99(5). e0048125–e0048125.
2.
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Miller, Michael J., Dennis J. Thiele, Eain A. Murphy, et al.. (2025). Targeting the host transcription factor HSF1 prevents human cytomegalovirus replication in vitro and in vivo. Antiviral Research. 237. 106150–106150. 2 indexed citations
5.
Murphy, Eain A., et al.. (2024). Import of extracellular 2′-3′cGAMP by the folate transporter, SLC19A1, establishes an antiviral response that limits herpes simplex virus-1. Antiviral Research. 230. 105989–105989. 1 indexed citations
6.
Murphy, Eain A., et al.. (2024). Herpes simplex virus-1 targets the 2′-3'cGAMP importer SLC19A1 as an antiviral countermeasure. Virology. 603. 110320–110320.
7.
Remiszewski, Stacy, Matthew J. Todd, John L. Kulp, et al.. (2023). An allosteric inhibitor of sirtuin 2 deacetylase activity exhibits broad-spectrum antiviral activity. Journal of Clinical Investigation. 133(12). 14 indexed citations
8.
Nukui, Masatoshi, et al.. (2020). Protein S-Nitrosylation of Human Cytomegalovirus pp71 Inhibits Its Ability To Limit STING Antiviral Responses. Journal of Virology. 94(17). 15 indexed citations
9.
Kim, Eui Tae, Katarzyna Kulej, Lynn A. Spruce, et al.. (2019). SAMHD1 Modulates Early Steps during Human Cytomegalovirus Infection by Limiting NF-κB Activation. Cell Reports. 28(2). 434–448.e6. 44 indexed citations
10.
Poole, Emma, Jessica L. Forbester, Miri Shnayder, et al.. (2019). An iPSC-Derived Myeloid Lineage Model of Herpes Virus Latency and Reactivation. Frontiers in Microbiology. 10. 2233–2233. 15 indexed citations
11.
Elder, Elizabeth, Benjamin A. Krishna, James C. Williamson, et al.. (2019). Monocytes Latently Infected with Human Cytomegalovirus Evade Neutrophil Killing. iScience. 12. 13–26. 34 indexed citations
12.
Banerjee, Avik, Masatoshi Nukui, Kevin Kruse, et al.. (2018). The HCMV Assembly Compartment Is a Dynamic Golgi-Derived MTOC that Controls Nuclear Rotation and Virus Spread. Developmental Cell. 45(1). 83–100.e7. 64 indexed citations
13.
Lau, Betty, Emma Poole, Benjamin A. Krishna, et al.. (2016). The Expression of Human Cytomegalovirus MicroRNA MiR-UL148D during Latent Infection in Primary Myeloid Cells Inhibits Activin A-triggered Secretion of IL-6. Scientific Reports. 6(1). 31205–31205. 68 indexed citations
14.
Lau, Betty, Emma Poole, Ellen Van Damme, et al.. (2016). Human cytomegalovirus miR-UL112-1 promotes the down-regulation of viral immediate early-gene expression during latency to prevent T-cell recognition of latently infected cells. Journal of General Virology. 97(9). 2387–2398. 44 indexed citations
15.
O’Connor, Christine M., Jiří Vaníček, & Eain A. Murphy. (2014). Host MicroRNA Regulation of Human Cytomegalovirus Immediate Early Protein Translation Promotes Viral Latency. Journal of Virology. 88(10). 5524–5532. 81 indexed citations
16.
Moorman, Nathaniel J. & Eain A. Murphy. (2014). Roseomics: a blank slate. Current Opinion in Virology. 9. 188–193. 1 indexed citations
17.
Schuster, Andrew, et al.. (2013). Condensin II Subunit dCAP-D3 Restricts Retrotransposon Mobilization in Drosophila Somatic Cells. PLoS Genetics. 9(10). e1003879–e1003879. 19 indexed citations
18.
Murphy, Eain A., Jiří Vaníček, Harlan Robins, Thomas Shenk, & Arnold J. Levine. (2008). Suppression of immediate-early viral gene expression by herpesvirus-coded microRNAs: Implications for latency. Proceedings of the National Academy of Sciences. 105(14). 5453–5458. 220 indexed citations
19.
Murphy, Eain A. & Thomas Shenk. (2008). Human Cytomegalovirus Genome. Current topics in microbiology and immunology. 325. 1–19. 88 indexed citations
20.
Minóprio, Paola, et al.. (1993). Xid -associated resistance to experimental Chagas' disease is IFN-gamma dependent.. The Journal of Immunology. 151(8). 4200–4208. 71 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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