Ronald S. Murray

2.4k total citations
34 papers, 1.8k citations indexed

About

Ronald S. Murray is a scholar working on Infectious Diseases, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Ronald S. Murray has authored 34 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 10 papers in Pathology and Forensic Medicine and 9 papers in Immunology. Recurrent topics in Ronald S. Murray's work include SARS-CoV-2 and COVID-19 Research (8 papers), Multiple Sclerosis Research Studies (8 papers) and Animal Virus Infections Studies (7 papers). Ronald S. Murray is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (8 papers), Multiple Sclerosis Research Studies (8 papers) and Animal Virus Infections Studies (7 papers). Ronald S. Murray collaborates with scholars based in United States, United Kingdom and Australia. Ronald S. Murray's co-authors include Jorge R. Oksenberg, Gary F. Cabirac, Claude C.A. Bernard, Richard Shimonkevitz, Sergio E. Baranzini, Bonnie Brown, Lawrence Steinman, Michael Panzara, Ann B. Begovich and Dennis J. Mitchell and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Ronald S. Murray

34 papers receiving 1.8k citations

Peers

Ronald S. Murray
Peter C. Dowling United States
Pascale Giraudon France
Emilia L. Oleszak United States
S. D. Cook United States
Andreas Holz United States
Diethilde Theil Germany
H. F. McFarland United States
Foroozan Mokhtarian United States
Evelyne Cash France
P. C. Dowling United States
Peter C. Dowling United States
Ronald S. Murray
Citations per year, relative to Ronald S. Murray Ronald S. Murray (= 1×) peers Peter C. Dowling

Countries citing papers authored by Ronald S. Murray

Since Specialization
Citations

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

Fields of papers citing papers by Ronald S. Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronald S. Murray

This figure shows the co-authorship network connecting the top 25 collaborators of Ronald S. Murray. A scholar is included among the top collaborators of Ronald S. 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 Ronald S. Murray. Ronald S. Murray 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.
Ranger, Ann, Soma Ray, Suzanne Szak, et al.. (2017). Anti-LINGO-1 has no detectable immunomodulatory effects in preclinical and phase 1 studies. Neurology Neuroimmunology & Neuroinflammation. 5(1). e417–e417. 25 indexed citations
2.
Fox, Edward, Clyde Markowitz, Ronald S. Murray, et al.. (2014). The effect of scheduled antibody testing on treatment patterns in interferon-treated patients with multiple sclerosis. BMC Neurology. 14(1). 73–73. 2 indexed citations
3.
Sharkey, Freddie H., Norma Morrison, Ronald S. Murray, et al.. (2009). 17q21.31 Microdeletion Syndrome: Further Expanding the Clinical Phenotype. Cytogenetic and Genome Research. 127(1). 61–66. 17 indexed citations
4.
Winnepenninckx, Birgitta, Cheryl Longman, Ronald S. Murray, et al.. (2007). The molecular basis of the folate-sensitive fragile site FRA11A at 11q13. Cytogenetic and Genome Research. 119(1-2). 9–14. 20 indexed citations
5.
Murray, Ronald S., Jean W. Keeling, Peter Ellis, & David Fitzpatrick. (2002). Symmetrical upper limb peromelia and lower limb phocomelia associated with a de novo apparently balanced reciprocal translocation: 46,XX,t(2;12)(p25.1;q24.1). Clinical Dysmorphology. 11(2). 87–90. 5 indexed citations
6.
Baranzini, Sergio E., et al.. (1999). B Cell Repertoire Diversity and Clonal Expansion in Multiple Sclerosis Brain Lesions. The Journal of Immunology. 163(9). 5133–5144. 241 indexed citations
7.
Panzara, Michael, Emanuela Gussoni, Ann B. Begovich, et al.. (1999). T Cell Receptor BV Gene Rearrangements in the Spinal Cords and Cerebrospinal Fluid of Patients with Amyotrophic Lateral Sclerosis. Neurobiology of Disease. 6(5). 392–405. 24 indexed citations
8.
Arenberg, I. Kaufman, et al.. (1997). Cytomegalovirus Antibodies in Endolymphatic Sac Biopsies of Patients with Endolymphatic Hydrops and Ménière's Disease. Annals of the New York Academy of Sciences. 830(1). 314–318. 9 indexed citations
9.
Murray, Ronald S., Guang-Yun Cai, Kenneth F. Soike, & Gary F. Cabirac. (1997). Further observations on coronavirus infection of primate CNS. Journal of NeuroVirology. 3(1). 71–75. 10 indexed citations
10.
Colombo, Emanuela, Katalin Bánki, Arthur H. Tatum, et al.. (1997). Comparative analysis of antibody and cell-mediated autoimmunity to transaldolase and myelin basic protein in patients with multiple sclerosis.. Journal of Clinical Investigation. 99(6). 1238–1250. 63 indexed citations
11.
Cabirac, Gary F., Ronald S. Murray, Laura McLaughlin, et al.. (1995). In Vitro Interaction of Coronaviruses with Primate and Human Brain Microvascular Endothelial Cells. Advances in experimental medicine and biology. 380. 79–88. 20 indexed citations
12.
Shimonkevitz, Richard, Ronald S. Murray, & Brian L. Kotzin. (1995). Characterization of T‐Cell Receptor Vβ Usage in the Brain of a Subject with Multiple Sclerosis. Annals of the New York Academy of Sciences. 756(1). 305–306. 7 indexed citations
13.
Cabirac, Gary F., et al.. (1994). Coronavirus JHM OMP1 Pathogenesis in Owl Monkey CNS and Coronavirus Infection of Owl Monkey CNS Via Peripheral Routes. Advances in experimental medicine and biology. 342. 347–352. 10 indexed citations
14.
Murray, Ronald S., et al.. (1994). Coronaviruses and Multiple Sclerosis. Advances in experimental medicine and biology. 342. 353–357. 10 indexed citations
15.
Oksenberg, Jorge R., Michael Panzara, Ann B. Begovich, et al.. (1993). Selection for T-cell receptor Vβ–Dβ–Jβ gene rearrangements with specificity for a myelin basic protein peptide in brain lesions of multiple sclerosis. Nature. 362(6415). 68–70. 350 indexed citations
16.
Murray, Ronald S., et al.. (1992). Detection of coronavirus RNA and antigen in multiple sclerosis brain. Annals of Neurology. 31(5). 525–533. 177 indexed citations
17.
Godec, M. S., David M. Asher, Ronald S. Murray, et al.. (1992). Absence of measles, mumps, and rubella viral genomic sequences from multiple sclerosis brain tissue by polymerase chain reaction. Annals of Neurology. 32(3). 401–404. 48 indexed citations
18.
Murray, Ronald S., et al.. (1990). Detection of Coronavirus RNA in CNS Tissue of Multiple Sclerosis and Control Patients. Advances in experimental medicine and biology. 276. 505–510. 6 indexed citations
19.
Rotbart, Harley A., et al.. (1988). Intracellular detection of sense and antisense enteroviral RNA by in situ hybridization. Journal of Virological Methods. 22(2-3). 295–301. 14 indexed citations
20.
Murray, Ronald S., et al.. (1986). Spinal and radicular pain in pseudotumor cerebri. Pediatric Neurology. 2(2). 106–107. 13 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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