Sharon P. Moore

629 total citations
25 papers, 477 citations indexed

About

Sharon P. Moore is a scholar working on Molecular Biology, Infectious Diseases and Plant Science. According to data from OpenAlex, Sharon P. Moore has authored 25 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Infectious Diseases and 7 papers in Plant Science. Recurrent topics in Sharon P. Moore's work include Fungal and yeast genetics research (6 papers), Viral gastroenteritis research and epidemiology (5 papers) and Virus-based gene therapy research (4 papers). Sharon P. Moore is often cited by papers focused on Fungal and yeast genetics research (6 papers), Viral gastroenteritis research and epidemiology (5 papers) and Virus-based gene therapy research (4 papers). Sharon P. Moore collaborates with scholars based in United States, New Zealand and United Kingdom. Sharon P. Moore's co-authors include David Garfinkel, Lori A. Rinckel, Thomas P. Coohill, Raymond C. Sowder, Louis E. Henderson, Robert J. Fisher, Aiqun Li, Amar J. S. Klar, Ken Ishikawa and Katherine M. Nyswaner and has published in prestigious journals such as Journal of Clinical Oncology, Molecular and Cellular Biology and Analytical Chemistry.

In The Last Decade

Sharon P. Moore

25 papers receiving 467 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sharon P. Moore United States 12 342 172 51 47 41 25 477
Gregor Sagner Germany 8 184 0.5× 36 0.2× 60 1.2× 20 0.4× 16 0.4× 10 353
Christopher B. Glascock United States 7 290 0.8× 379 2.2× 48 0.9× 15 0.3× 54 1.3× 9 655
A. Traub Israel 12 289 0.8× 31 0.2× 35 0.7× 11 0.2× 28 0.7× 36 431
Jürgen Kreutzberger Germany 12 515 1.5× 129 0.8× 38 0.7× 65 1.4× 8 0.2× 14 619
Peter Reichelt Germany 8 463 1.4× 34 0.2× 38 0.7× 19 0.4× 22 0.5× 10 582
Inca Ghosh United States 12 513 1.5× 50 0.3× 39 0.8× 17 0.4× 79 1.9× 19 675
Keyur A. Dave Australia 13 177 0.5× 40 0.2× 50 1.0× 34 0.7× 54 1.3× 24 430
W C Merrick United States 16 945 2.8× 77 0.4× 87 1.7× 30 0.6× 60 1.5× 17 1.0k
T. Heyman France 15 410 1.2× 150 0.9× 36 0.7× 4 0.1× 71 1.7× 30 504
Toshiyuki Tsuji Japan 7 272 0.8× 35 0.2× 49 1.0× 18 0.4× 27 0.7× 15 401

Countries citing papers authored by Sharon P. Moore

Since Specialization
Citations

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

Fields of papers citing papers by Sharon P. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sharon P. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Sharon P. Moore. A scholar is included among the top collaborators of Sharon P. 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 Sharon P. Moore. Sharon P. 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.
2.
McAuliffe, Gary, Susan Taylor, Sharon P. Moore, et al.. (2018). Suboptimal performance of rotavirus testing in a vaccinated community population should prompt laboratories to review their rotavirus testing algorithms in response to changes in disease prevalence. Diagnostic Microbiology and Infectious Disease. 93(3). 203–207. 3 indexed citations
3.
McAuliffe, Gary, Deborah A. Williamson, Sharon P. Moore, et al.. (2017). Use of the EntericBio Gastro Panel II in a diagnostic microbiology laboratory: challenges and opportunities. Pathology. 49(4). 419–422. 13 indexed citations
4.
Johnson, Melissa L., et al.. (2016). Natural language processing (NLP) software use in the discovery of incidental lung cancers.. Journal of Clinical Oncology. 34(15_suppl). 1559–1559. 2 indexed citations
5.
Klar, Amar J. S., Ken Ishikawa, & Sharon P. Moore. (2015). A Unique DNA Recombination Mechanism of the Mating/Cell-type Switching of Fission Yeasts: a Review. ASM Press eBooks. 515–528. 4 indexed citations
6.
Moore, Sharon P. & David Garfinkel. (2009). Functional Analysis of N-Terminal Residues of Ty1 Integrase. Journal of Virology. 83(18). 9502–9511. 4 indexed citations
7.
Curcio, M. Joan, Alison E. Kenny, Sharon P. Moore, et al.. (2007). S-Phase Checkpoint Pathways Stimulate the Mobility of the Retrovirus-Like Transposon Ty1. Molecular and Cellular Biology. 27(24). 8874–8885. 33 indexed citations
8.
Garfinkel, David, et al.. (2005). Ty1 Copy Number Dynamics in Saccharomyces. Genetics. 169(4). 1845–1857. 20 indexed citations
9.
Moore, Sharon P., Gianni Liti, Karen Stefanisko, et al.. (2004). Analysis of a Ty1‐less variant of Saccharomyces paradoxus: the gain and loss of Ty1 elements. Yeast. 21(8). 649–660. 26 indexed citations
10.
Li, Aiqun, Raymond C. Sowder, Louis E. Henderson, et al.. (2001). Chemical Cleavage at Aspartyl Residues for Protein Identification. Analytical Chemistry. 73(22). 5395–5402. 110 indexed citations
11.
Moore, Sharon P., et al.. (2000). The Genomic RNA in Ty1 Virus-Like Particles Is Dimeric. Journal of Virology. 74(22). 10819–10821. 42 indexed citations
12.
Moore, Sharon P. & David Garfinkel. (2000). Correct Integration of Model Substrates by Ty1 Integrase. Journal of Virology. 74(24). 11522–11530. 9 indexed citations
13.
Moore, Sharon P., Lori A. Rinckel, & David Garfinkel. (1998). A Ty1 Integrase Nuclear Localization Signal Required for Retrotransposition. Molecular and Cellular Biology. 18(2). 1105–1114. 78 indexed citations
14.
Coohill, Thomas P. & Sharon P. Moore. (1983). An SV40 mammalian inductest for putative carcinogens. Mutation Research/Environmental Mutagenesis and Related Subjects. 113(5). 431–440. 1 indexed citations
15.
Coohill, Thomas P., et al.. (1983). ACTION SPECTRA (254–302 nm) FOR FOUR HUMAN PHOTOSENSITIVE CELL LINES. Photochemistry and Photobiology. 38(1). 105–107. 7 indexed citations
16.
Coohill, Thomas P., et al.. (1982). Action spectrum for the in vitro induction of simian virus 40 by ultraviolet radiation. Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis. 95(2-3). 95–103. 11 indexed citations
17.
Moore, Sharon P. & Thomas P. Coohill. (1981). THE WAVELENGTH DEPENDENCE OF THE EFFECT OF 8-METHOXYPSORALEN PLUS ULTRAVIOLET RADIATION ON THE INDUCTION OF LATENT SIMIAN VIRUS 40 FROM A MAMMALIAN CELL. Photochemistry and Photobiology. 34(5). 609–615. 1 indexed citations
18.
Moore, Sharon P., et al.. (1980). ULTRAVIOLET ENHANCED REACTIVATION OF HERPES SIMPLEX VIRUS INACTIVATED BY DIFFERENT WAVELENGTHS OF UV RADIATION. Photochemistry and Photobiology. 32(2). 271–272. 2 indexed citations
19.
Moore, Sharon P. & Thomas P. Coohill. (1979). An effect of cell-culture passage on ultraviolet-enhanced viral reactivation by mammalian cells. Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis. 62(3). 417–423. 2 indexed citations
20.
Coohill, Thomas P., et al.. (1978). THE WAVELENGTH DEPENDENCE OF ULTRAVIOLET ENHANCED REACTIVATION IN A MAMMALIAN CELL‐VIRUS SYSTEM. Photochemistry and Photobiology. 27(6). 725–730. 12 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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