S. Moore

3.3k total citations · 1 hit paper
53 papers, 2.4k citations indexed

About

S. Moore is a scholar working on Molecular Biology, Hematology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, S. Moore has authored 53 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 14 papers in Hematology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in S. Moore's work include Blood groups and transfusion (8 papers), Heat shock proteins research (8 papers) and Medical Imaging Techniques and Applications (7 papers). S. Moore is often cited by papers focused on Blood groups and transfusion (8 papers), Heat shock proteins research (8 papers) and Medical Imaging Techniques and Applications (7 papers). S. Moore collaborates with scholars based in United States, United Kingdom and Taiwan. S. Moore's co-authors include Duncan S. Pepper, J. D. Cash, Ettore Appella, Naoya Yuhki, Edward J. Leonard, Teizo Yoshimura, Michael I. Lerman, C. A. Ludlam, A.E. Bolton and D. B. L. McClelland and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

S. Moore

51 papers receiving 2.2k citations

Hit Papers

Human monocyte chemoattractant protein‐1 (MCP‐1) Full‐len... 1989 2026 2001 2013 1989 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Moore United States 20 663 653 406 324 285 53 2.4k
S K Lo United States 23 803 1.2× 607 0.9× 1.1k 2.8× 275 0.8× 256 0.9× 39 3.0k
BC Furie United States 25 728 1.1× 1.4k 2.1× 572 1.4× 155 0.5× 164 0.6× 39 3.1k
George M. Willems Netherlands 28 882 1.3× 1.1k 1.6× 322 0.8× 197 0.6× 252 0.9× 68 2.7k
Kuo-Jang Kao United States 31 707 1.1× 833 1.3× 679 1.7× 137 0.4× 139 0.5× 84 3.1k
Konradin Metze Brazil 26 551 0.8× 373 0.6× 235 0.6× 212 0.7× 104 0.4× 142 2.3k
George Brecher United States 30 521 0.8× 943 1.4× 450 1.1× 438 1.4× 332 1.2× 64 3.1k
Bruce H. Davis United States 36 812 1.2× 747 1.1× 730 1.8× 563 1.7× 171 0.6× 96 3.2k
Arabinda Guha United States 21 761 1.1× 850 1.3× 292 0.7× 72 0.2× 144 0.5× 32 2.3k
William P. Sheffield Canada 25 772 1.2× 666 1.0× 130 0.3× 261 0.8× 132 0.5× 125 2.0k
Colin Longstaff United Kingdom 30 739 1.1× 980 1.5× 462 1.1× 149 0.5× 85 0.3× 96 3.0k

Countries citing papers authored by S. Moore

Since Specialization
Citations

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

Fields of papers citing papers by S. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of S. Moore. A scholar is included among the top collaborators of S. Moore 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 S. Moore. S. Moore 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.
Moore, S., Harrison H. Barrett, & Lars R. Furenlid. (2012). ModPET - A compact PET system employing modular gamma cameras, maximum-likelihood event-parameter estimation, and list-mode ML-EM reconstruction. 53. 491–491. 3 indexed citations
2.
Barrett, Harrison H., William C. Hunter, Brian W. Miller, et al.. (2009). Maximum-Likelihood Methods for Processing Signals From Gamma-Ray Detectors. IEEE Transactions on Nuclear Science. 56(3). 725–735. 124 indexed citations
3.
Miller, Brian W., H. Bradford Barber, Lars R. Furenlid, S. Moore, & Harrison H. Barrett. (2009). Progress of BazookaSPECT. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7450(7450C). 74500C–74500C. 17 indexed citations
4.
Moore, S., William C. Hunter, Lars R. Furenlid, & Harrison H. Barrett. (2007). Maximum-likelihood estimation of 3D event position in monolithic scintillation crystals: Experimental results. PubMed. 5. 3691–3694. 18 indexed citations
5.
Moore, S.. (2002). Capacity planning. Model behavior.. PubMed. 112(5827). 26–7. 1 indexed citations
6.
Dale, Emily C., et al.. (1997). Murine 86-kDa heat shock protein gene and promoter. Cell Stress and Chaperones. 2(2). 87–87. 16 indexed citations
7.
Dale, Emily C., et al.. (1996). Cloning and characterization of the promoter for murine 84-kDa heat-shock protein. Gene. 172(2). 279–284. 12 indexed citations
8.
Paterson, Trevor & S. Moore. (1996). The Expression and Characterization of Five Recombinant Murine α1-Protease Inhibitor Proteins. Biochemical and Biophysical Research Communications. 219(1). 64–69. 16 indexed citations
9.
Ondrey, Gerald, et al.. (1994). Sulfur production continues to rise. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 256. 425–432. 1 indexed citations
10.
Maier, William B., et al.. (1994). The Los Alamos Calibration Laboratory for multi-spectral and thermal imaging radiometer systems. University of North Texas Digital Library (University of North Texas). 1 indexed citations
11.
Keesler, George A., S. Moore, David Usher, & Leo W. Parks. (1991). Yeast proteins with reactivity to antibodies elicited against mammalian apolipoproteins. Biochemical and Biophysical Research Communications. 174(2). 631–637. 3 indexed citations
12.
Moore, S., Filippo M. Rijli, & Ettore Appella. (1990). Characterization of the Mouse 84-kD Heat Shock Protein Gene Family. DNA and Cell Biology. 9(6). 387–400. 18 indexed citations
13.
Tippett, Patricia & S. Moore. (1990). MONOCLONAL ANTIBODIES AGAINST Rh AND Rh RELATED ANTIGENS. International Journal of Immunogenetics. 17(4-5). 309–319. 26 indexed citations
14.
McColl, Kenneth A., S. Moore, P.L. Yap, et al.. (1989). Stability of Murine Monoclonal Anti‐A, Anti‐B and Anti‐A,B ABO Grouping Reagents and A Multi‐Centre Evaluation of Their Performance in Routine Use1. Vox Sanguinis. 56(2). 122–130. 11 indexed citations
15.
Ullrich, S J, S. Moore, & Ettore Appella. (1989). Transcriptional and Translational Analysis of the Murine 84- and 86-kDa Heat Shock Proteins. Journal of Biological Chemistry. 264(12). 6810–6816. 26 indexed citations
16.
Shyamala, G., et al.. (1989). Estrogenic regulation of murine uterine 90-kilodalton heat shock protein gene expression.. Molecular and Cellular Biology. 9(8). 3567–3570. 22 indexed citations
17.
Moore, S., et al.. (1988). Evaluation of monoclonal anti-Rh antibodies as reagents for blood grouping and for the identification of red cell membrane components associated with Rh antigen activity. Revue Franç aise de Transfusion et Immuno-hé matologie. 31(2). 141–144. 1 indexed citations
18.
Moore, S., Christine A. Kozak, Elizabeth A. Robinson, Stephen J. Ullrich, & Ettore Appella. (1987). Cloning and nucleotide sequence of the murine hsp84 cDNA and chromosome assignment of related sequences. Gene. 56(1). 29–40. 85 indexed citations
19.
Moore, S., et al.. (1978). Isolation, cloning and characterization of argF gene DNA from Escherichia coli K-12. Gene. 4(3). 261–278. 7 indexed citations
20.
Pepper, Duncan S., S. Moore, & J. D. Cash. (1975). Isolation and Characterization of Human Platelet β-Thromboglobulin. Thrombosis and Haemostasis. 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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