Michael V. Murray

656 total citations
9 papers, 464 citations indexed

About

Michael V. Murray is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Michael V. Murray has authored 9 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Michael V. Murray's work include RNA Research and Splicing (6 papers), RNA and protein synthesis mechanisms (4 papers) and RNA modifications and cancer (3 papers). Michael V. Murray is often cited by papers focused on RNA Research and Splicing (6 papers), RNA and protein synthesis mechanisms (4 papers) and RNA modifications and cancer (3 papers). Michael V. Murray collaborates with scholars based in United States, France and Japan. Michael V. Murray's co-authors include Adrian R. Krainer, Ryûji Kobayashi, Kengo Sumi, Bisei Ohkawara, Takamitsu Hosoya, Hiroshi Onogi, Hiroshi Shibuyà, Michiko Muraki, Hiroshi Kimurâ and Masatoshi Hagiwara and has published in prestigious journals such as Journal of Biological Chemistry, Genes & Development and Molecular and Cellular Biology.

In The Last Decade

Michael V. Murray

9 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael V. Murray United States	8	397	41	36	36	32	9	464
Ana P. G. Silva Australia	13	440 1.1×	64 1.6×	24 0.7×	24 0.7×	28 0.9×	22	546
M C Knode United States	10	279 0.7×	64 1.6×	18 0.5×	17 0.5×	18 0.6×	13	351
James H. Ahn United States	7	397 1.0×	80 2.0×	89 2.5×	33 0.9×	49 1.5×	8	536
Wayne W. Chan United States	8	236 0.6×	59 1.4×	47 1.3×	13 0.4×	62 1.9×	10	389
Marieke Lamers United Kingdom	11	282 0.7×	78 1.9×	14 0.4×	26 0.7×	29 0.9×	14	394
Songli Xu United States	9	527 1.3×	72 1.8×	20 0.6×	27 0.8×	84 2.6×	9	627
Barbara Kaboord United States	8	206 0.5×	45 1.1×	14 0.4×	42 1.2×	40 1.3×	11	308
Leena Maddukuri United States	16	462 1.2×	60 1.5×	27 0.8×	105 2.9×	24 0.8×	25	530
Kevin N. Kirouac Canada	8	359 0.9×	43 1.0×	20 0.6×	72 2.0×	29 0.9×	8	441
Xianhui Wu China	11	371 0.9×	44 1.1×	20 0.6×	33 0.9×	39 1.2×	23	481

Countries citing papers authored by Michael V. Murray

Since Specialization

Citations

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

Fields of papers citing papers by Michael V. Murray

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael V. Murray

This figure shows the co-authorship network connecting the top 25 collaborators of Michael V. Murray. A scholar is included among the top collaborators of Michael V. 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 Michael V. Murray. Michael V. Murray 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

Kamoun, Malek, Mohammed Filali, Michael V. Murray, Sita Awasthi, & Brian E. Wadzinski. (2013). Protein phosphatase 2A family members (PP2A and PP6) associate with U1 snRNP and the spliceosome during pre-mRNA splicing. Biochemical and Biophysical Research Communications. 440(2). 306–311. 13 indexed citations

Allemand, Eric, Michelle L. Hastings, Michael V. Murray, Michael P. Myers, & Adrian R. Krainer. (2007). Alternative splicing regulation by interaction of phosphatase PP2Cγ with nucleic acid–binding protein YB-1. Nature Structural & Molecular Biology. 14(7). 630–638. 57 indexed citations

Williams, Christie E., et al.. (2004). Removal of lipopolysaccharides from protein–lipopolysaccharide complexes by nonflammable solvents. Journal of Chromatography B. 816(1-2). 167–174. 13 indexed citations

Williams, Christie E., et al.. (2004). Ion chromatographic quantification of cyanate in urea solutions: estimation of the efficiency of cyanate scavengers for use in recombinant protein manufacturing. Journal of Chromatography B. 803(2). 353–362. 29 indexed citations

Muraki, Michiko, Bisei Ohkawara, Takamitsu Hosoya, et al.. (2004). Manipulation of Alternative Splicing by a Newly Developed Inhibitor of Clks. Journal of Biological Chemistry. 279(23). 24246–24254. 242 indexed citations

Murray, Michael V., Ryûji Kobayashi, & Adrian R. Krainer. (1999). The type 2C Ser/Thr phosphatase PP2Cγ is a pre-mRNA splicing factor. Genes & Development. 13(1). 87–97. 76 indexed citations

Murray, Michael V.. (1999). Role of Phosphorylation in Pre-mRNA Splicing. Frontiers of hormone research. 25. 83–100. 8 indexed citations

Murray, Michael V., et al.. (1997). TheDrosophilaSuppressor of sable Protein Binds to RNA and Associates with a Subset of Polytene Chromosome Bands. Molecular and Cellular Biology. 17(4). 2291–2300. 25 indexed citations

Murray, Michael V., et al.. (1952). Theorems on existence and essence (Theoremata de esse et essentia). Medical Entomology and Zoology. 1 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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