Samuel S. Murray

128 total papers · 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 Haijun Tian 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 857 263 252 228 213 80 1.7k
Ryan E. Tomlinson 638 0.7× 206 0.8× 304 1.2× 283 1.2× 173 0.8× 51 1.8k
Qian Chen 1.0k 1.2× 234 0.9× 169 0.7× 245 1.1× 214 1.0× 66 2.2k
Jan O. Gordeladze 961 1.1× 208 0.8× 105 0.4× 242 1.1× 230 1.1× 106 2.4k
Stephana Carelli 997 1.2× 184 0.7× 220 0.9× 175 0.8× 284 1.3× 95 2.2k
Gabriel L. Galea 1.2k 1.4× 239 0.9× 247 1.0× 230 1.0× 128 0.6× 67 2.2k
Adriana Di Benedetto 754 0.9× 188 0.7× 193 0.8× 170 0.7× 72 0.3× 46 2.1k
Marco Brotto 1.4k 1.6× 129 0.5× 232 0.9× 167 0.7× 258 1.2× 76 2.3k
Rainer Klocke 969 1.1× 152 0.6× 172 0.7× 413 1.8× 364 1.7× 70 2.2k
Bridget E. Bax 1.1k 1.2× 192 0.7× 235 0.9× 246 1.1× 136 0.6× 69 2.2k
Wei Song 1.0k 1.2× 220 0.8× 97 0.4× 161 0.7× 273 1.3× 92 2.0k

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

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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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