Samuel S. Murray

2.1k total citations
80 papers, 1.7k citations indexed

About

Samuel S. Murray is a scholar working on Molecular Biology, Oncology and Rheumatology. According to data from OpenAlex, Samuel S. Murray has authored 80 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 19 papers in Oncology and 12 papers in Rheumatology. Recurrent topics in Samuel S. Murray's work include TGF-β signaling in diseases (20 papers), Bone Metabolism and Diseases (20 papers) and Bone health and treatments (15 papers). Samuel S. Murray is often cited by papers focused on TGF-β signaling in diseases (20 papers), Bone Metabolism and Diseases (20 papers) and Bone health and treatments (15 papers). Samuel S. Murray collaborates with scholars based in United States, Brazil and China. Samuel S. Murray's co-authors include Elsa J. Brochmann Murray, Elsa J. Brochmann, Julie Kneip, Allen S. Levine, John E. Morley, Martha K. Grace, Carlotta A. Glackin, Leonard J. Deftos, Mario Grisanti and Kwang‐Bok Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and ACS Nano.

In The Last Decade

Samuel S. Murray

79 papers receiving 1.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Samuel S. Murray 858 262 252 227 213 80 1.7k
Jan O. Gordeladze 960 1.1× 207 0.8× 104 0.4× 242 1.1× 230 1.1× 106 2.4k
Maria Adele Rueger 1.0k 1.2× 237 0.9× 170 0.7× 119 0.5× 527 2.5× 67 2.4k
Dario Coletti 1.9k 2.3× 137 0.5× 207 0.8× 325 1.4× 199 0.9× 81 2.9k
Isabella Villa 642 0.7× 226 0.9× 130 0.5× 126 0.6× 216 1.0× 65 1.4k
Serge Nataf 702 0.8× 172 0.7× 109 0.4× 175 0.8× 310 1.5× 66 2.9k
Peter Macpherson 1.5k 1.8× 212 0.8× 183 0.7× 114 0.5× 150 0.7× 57 2.2k
Toru Fukuda 1.4k 1.7× 291 1.1× 209 0.8× 248 1.1× 59 0.3× 36 2.8k
Mona Dvir‐Ginzberg 706 0.8× 156 0.6× 305 1.2× 308 1.4× 155 0.7× 48 2.1k
Jianhe Shen 1.1k 1.3× 436 1.7× 97 0.4× 216 1.0× 121 0.6× 18 2.5k
Sung‐Chul Jung 1.1k 1.3× 172 0.7× 91 0.4× 333 1.5× 413 1.9× 102 2.7k

Countries citing papers authored by Samuel S. Murray

Since Specialization
Citations

This map shows the geographic impact of Samuel 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 Samuel 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 Samuel S. Murray more than expected).

Fields of papers citing papers by Samuel S. Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel S. Murray. A scholar is included among the top collaborators of Samuel 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 Samuel S. Murray. Samuel 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.
Murray, Samuel S., Xin Yun, Karthik Suresh, et al.. (2025). Physiological shear stress suppresses apoptosis in human pulmonary microvascular endothelial cells. Physiological Reports. 13(6). e70269–e70269. 2 indexed citations
2.
Murray, Samuel S., et al.. (2024). Believe in your self-control: Lay theories of self-control and their downstream effects. Current Opinion in Psychology. 60. 101879–101879. 2 indexed citations
3.
Chen, Hongfang, Chenshuang Li, Tangjun Zhou, et al.. (2023). Secreted phosphoprotein 24 kD (Spp24) inhibits the growth of human osteosarcoma through the BMP‐2/Smad signaling pathway. Journal of Orthopaedic Research®. 41(8). 1803–1814. 1 indexed citations
4.
Smith, Anna, et al.. (2022). Fixation, flexibility, and creativity: The dynamics of mind wandering.. Journal of Experimental Psychology Human Perception & Performance. 48(7). 689–710. 15 indexed citations
5.
Tian, Haijun, Aimin Wu, Kai Zhang, et al.. (2018). Adequate Restoration of Disc Height and Segmental Lordosis by Lumbar Interbody Fusion Decreases Adjacent Segment Degeneration. World Neurosurgery. 118. e856–e864. 34 indexed citations
6.
Lao, Lifeng, Jia Shen, Haijun Tian, et al.. (2017). Secreted phosphoprotein 24 kD (Spp24) inhibits growth of hepatocellular carcinoma in vivo. Environmental Toxicology and Pharmacology. 51. 51–55. 12 indexed citations
7.
Murray, Samuel S., Jeffrey C. Wang, Maria Eugênia Leite Duarte, et al.. (2015). The bone matrix protein secreted phosphoprotein 24 kD (Spp24): bone metabolism regulator and starting material for biotherapeutic materials.. Pure (Coventry University). 30(5). 531–7. 10 indexed citations
8.
9.
Murray, Samuel S., et al.. (2010). Alanine-scanning mutations of the BMP-binding domain of recombinant secretory bovine spp24 affect cytokine binding. Connective Tissue Research. 51(6). 445–451. 5 indexed citations
10.
Alanay, Ahmet, Sang Hong Lee, Samuel S. Murray, et al.. (2008). The Adjunctive Effect of a Binding Peptide on Bone Morphogenetic Protein Enhanced Bone Healing in a Rodent Model of Spinal Fusion. Spine. 33(16). 1709–1713. 35 indexed citations
11.
Varkey, Mathew, Cezary Kucharski, Michael R. Doschak, et al.. (2007). Osteogenic Response of Bone Marrow Stromal Cells from Normal and Ovariectomized Rats Treated with a Low Dose of Basic Fibroblast Growth Factor. Tissue Engineering. 13(4). 809–817. 36 indexed citations
12.
Murray, Elsa J. Brochmann, et al.. (2007). Recombinant Expression, Isolation, and Proteolysis of Extracellular Matrix-Secreted Phosphoprotein-24 kDa. Connective Tissue Research. 48(6). 292–299. 22 indexed citations
13.
Leung, Felix W., Samuel S. Murray, Elsa Murray, & Vay Liang W. Go. (2007). Determination of Body Fat Distribution by Dual-Energy X-ray Absorptiometry and Attenuation of Visceral Fat Vasoconstriction by Enalapril. Digestive Diseases and Sciences. 53(4). 1084–1087. 5 indexed citations
14.
15.
Murray, Samuel S., et al.. (2005). Identification and characterization of valosin-containing protein (VCP/p97) in untransformed osteoblast-like cells. Journal of Orthopaedic Research®. 23(3). 618–624. 5 indexed citations
16.
Matsumoto, Naoko, Oak D. Jo, Remi Shih, et al.. (2005). Increased cathepsin D release byHypmouse osteoblast cells. American Journal of Physiology-Endocrinology and Metabolism. 289(1). E123–E132. 10 indexed citations
17.
Brochmann, Elsa J., et al.. (2004). Alkali-Urea Extraction of Demineralized Bone Matrix Removes Noggin, an Inhibitor of Bone Morphogenetic Proteins. Connective Tissue Research. 45(4-5). 257–260. 10 indexed citations
18.
Alborzi, Abdolvahab, et al.. (1996). Endochondral and intramembranous fetal bone development: osteoblastic cell proliferation, and expression of alkaline phosphatase, m-twist, and histone H4.. PubMed. 16(2). 94–106. 54 indexed citations
19.
Murray, Elsa J. Brochmann, Samuel S. Murray, & Stavros C. Manolagas. (1990). Two-Dimensional Gel Autoradiographic Analyses of the Effects of 1,25-Dihydroxycholecalciferol on Protein Synthesis in Clonal Rat Osteosarcoma Cells*. Endocrinology. 126(5). 2679–2692. 6 indexed citations
20.
Manolagas, S C, D Provvedini, Elsa J. Brochmann Murray, et al.. (1987). Association between the expression of the c-myc oncogene mRNA and the expression of the receptor protein for 1,25-dihydroxyvitamin D3.. Proceedings of the National Academy of Sciences. 84(3). 856–860. 35 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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