Ryan Murray

937 total citations · 1 hit paper
10 papers, 776 citations indexed

About

Ryan Murray is a scholar working on Epidemiology, Immunology and Oncology. According to data from OpenAlex, Ryan Murray has authored 10 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 4 papers in Immunology and 3 papers in Oncology. Recurrent topics in Ryan Murray's work include Mesenchymal stem cell research (2 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Reproductive tract infections research (2 papers). Ryan Murray is often cited by papers focused on Mesenchymal stem cell research (2 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Reproductive tract infections research (2 papers). Ryan Murray collaborates with scholars based in United States, Australia and India. Ryan Murray's co-authors include F Wang, Alan B. Rickinson, Clare E. Sample, C D Gregory, Martin Rowe, D Liebowitz, Elliott Kieff, Raina N. Fichorova, Hidemi S. Yamamoto and Biju Parekkadan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.

In The Last Decade

Ryan Murray

10 papers receiving 766 citations

Hit Papers

Epstein-Barr virus latent membrane protein (LMP1) and nuc... 1990 2026 2002 2014 1990 100 200 300 400
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.

  1. Epstein-Barr virus latent membrane protein (LMP1) and nuclear proteins 2 and 3C are effectors of phenotypic changes in B lymphocytes: EBNA-2 and LMP1 cooperatively induce CD23
    1990 496 citations F Wang, C D Gregory et al. Journal of Virology profile →

Peers

Ryan Murray
Amy Mauser United States
Yanto Lunardi-Iskandar United States
T Compton United States
Rossana Herrera United States
W King United States
Luca Piccoli Italy
Nikolaus Müller‐Lantzsch Germany
P. D. Markham United States
M S Rabson United States
Cindy Morris United States
Amy Mauser United States
Ryan Murray
Citations per year, relative to Ryan Murray Ryan Murray (= 1×) peers Amy Mauser

Countries citing papers authored by Ryan Murray

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan Murray

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

All Works

10 of 10 papers shown
1.
2.
Shen, K. Robert, et al.. (2016). Suicide Gene-Engineered Stromal Cells Reveal a Dynamic Regulation of Cancer Metastasis. Scientific Reports. 6(1). 21239–21239. 12 indexed citations
3.
Fichorova, Raina N., et al.. (2015). A quantitative multiplex nuclease protection assay reveals immunotoxicity gene expression profiles in the rabbit model for vaginal drug safety evaluation. Toxicology and Applied Pharmacology. 285(3). 198–206. 14 indexed citations
4.
Elman, Jessica S., Ryan Murray, Fangjing Wang, et al.. (2014). Pharmacokinetics of Natural and Engineered Secreted Factors Delivered by Mesenchymal Stromal Cells. PLoS ONE. 9(2). e89882–e89882. 28 indexed citations
5.
Shen, K. Robert, D.F. Hicks, Jessica S. Elman, et al.. (2014). Resolving cancer–stroma interfacial signalling and interventions with micropatterned tumour–stromal assays. Nature Communications. 5(1). 5662–5662. 42 indexed citations
6.
Fletcher, Anne, Jessica S. Elman, Jillian L. Astarita, et al.. (2014). Lymph node fibroblastic reticular cell transplants show robust therapeutic efficacy in high-mortality murine sepsis. Science Translational Medicine. 6(249). 249ra109–249ra109. 40 indexed citations
7.
Fichorova, Raina N., Yu Jin Lee, Hidemi S. Yamamoto, et al.. (2012). Endobiont Viruses Sensed by the Human Host – Beyond Conventional Antiparasitic Therapy. PLoS ONE. 7(11). e48418–e48418. 111 indexed citations
8.
9.
Wang, F, C D Gregory, Clare E. Sample, et al.. (1990). Epstein-Barr virus latent membrane protein (LMP1) and nuclear proteins 2 and 3C are effectors of phenotypic changes in B lymphocytes: EBNA-2 and LMP1 cooperatively induce CD23. Journal of Virology. 64(5). 2309–2318. 496 indexed citations breakdown →
10.
Murray, Ryan, Clyde A. Hutchison, & Jeffrey A. Frelinger. (1988). Saturation mutagenesis of a major histocompatibility complex protein domain: identification of a single conserved amino acid important for allorecognition.. Proceedings of the National Academy of Sciences. 85(10). 3535–3539. 15 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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