Richard C. Moore

5.6k total citations
70 papers, 3.5k citations indexed

About

Richard C. Moore is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Richard C. Moore has authored 70 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 29 papers in Plant Science and 20 papers in Genetics. Recurrent topics in Richard C. Moore's work include Prion Diseases and Protein Misfolding (14 papers), Chromosomal and Genetic Variations (14 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (12 papers). Richard C. Moore is often cited by papers focused on Prion Diseases and Protein Misfolding (14 papers), Chromosomal and Genetic Variations (14 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (12 papers). Richard C. Moore collaborates with scholars based in United States, United Kingdom and Canada. Richard C. Moore's co-authors include Michael D. Purugganan, Richard J. Cyr, Stanley B. Prusiner, Daniel J. Cosgrove, Hyung‐Taeg Cho, Susanne Hoffmann-Benning, David Westaway, Sarah R. Grant, William E. Friedman and David W. Melton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Richard C. Moore

62 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard C. Moore United States 28 2.3k 1.7k 545 454 360 70 3.5k
Paul Klonowski United States 5 2.4k 1.0× 1.7k 1.0× 659 1.2× 164 0.4× 57 0.2× 5 4.1k
Tancred Frickey Germany 26 2.5k 1.0× 1.4k 0.8× 595 1.1× 62 0.1× 74 0.2× 44 4.3k
Federica Di Palma United Kingdom 24 1.1k 0.5× 291 0.2× 657 1.2× 112 0.2× 92 0.3× 53 2.3k
Katsuhiko Mineta Saudi Arabia 24 1.5k 0.6× 412 0.2× 173 0.3× 405 0.9× 60 0.2× 62 2.3k
Tingting Du China 27 5.2k 2.2× 1.3k 0.7× 452 0.8× 86 0.2× 47 0.1× 105 6.5k
S. Gerber France 34 2.8k 1.2× 456 0.3× 1.1k 2.1× 137 0.3× 35 0.1× 99 4.1k
Dawn Worrall United Kingdom 25 1.3k 0.5× 1.1k 0.6× 130 0.2× 81 0.2× 43 0.1× 47 2.5k
Maja Tarailo‐Graovac Canada 20 2.1k 0.9× 1.1k 0.6× 945 1.7× 31 0.1× 56 0.2× 58 3.3k
John S. Taylor Canada 32 2.9k 1.2× 1.7k 1.0× 1.3k 2.5× 33 0.1× 142 0.4× 88 5.3k
Toshinori Endo Japan 16 997 0.4× 200 0.1× 257 0.5× 364 0.8× 39 0.1× 42 1.6k

Countries citing papers authored by Richard C. Moore

Since Specialization
Citations

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

Fields of papers citing papers by Richard C. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard C. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Richard C. Moore. A scholar is included among the top collaborators of Richard C. 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 Richard C. Moore. Richard C. 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.
Van, Thi Thu Hao, et al.. (2017). A rapid and specific method for the detection of C. Hepaticus, the agent responsible for spotty liver disease in Australia. RMIT Research Repository (RMIT University Library). 1 indexed citations
3.
Wu, Meng & Richard C. Moore. (2015). The Evolutionary Tempo of Sex Chromosome Degradation in Carica papaya. Journal of Molecular Evolution. 80(5-6). 265–277. 18 indexed citations
4.
Paucar, Martin, et al.. (2013). Genotype-phenotype analysis in inherited prion disease with eight octapeptide repeat insertional mutation. Prion. 7(6). 501–510. 15 indexed citations
5.
Gschwend, Andrea R., L Weingärtner, Richard C. Moore, & Ray Ming. (2011). The sex-specific region of sex chromosomes in animals and plants. Chromosome Research. 20(1). 57–69. 21 indexed citations
6.
7.
Wu, Xia, Jianping Wang, Qingyi Yu, et al.. (2010). The origin of the non-recombining region of sex chromosomes in Carica and Vasconcellea. The Plant Journal. 63(5). 801–810. 20 indexed citations
8.
Flowers, Jonathan M., Y. HANZAWA, Megan Hall, Richard C. Moore, & Michael D. Purugganan. (2009). Population Genomics of the Arabidopsis thaliana Flowering Time Gene Network. Molecular Biology and Evolution. 26(11). 2475–2486. 55 indexed citations
9.
Moore, Richard C.. (2008). Nanomedicine: rethinking medical training.. PubMed. 19(1). 50, 52–3. 3 indexed citations
10.
Moore, Richard C., Kay Boulton, & S.C. Bishop. (2008). Associations of PrP genotype with lamb production traits in three commercial breeds of British hill sheep. animal. 3(3). 336–346. 8 indexed citations
11.
Friedman, William E., Richard C. Moore, & Michael D. Purugganan. (2004). The evolution of plant development. American Journal of Botany. 91(10). 1726–1741. 118 indexed citations
12.
Moore, Richard C. & Michael D. Purugganan. (2003). The early stages of duplicate gene evolution. Proceedings of the National Academy of Sciences. 100(26). 15682–15687. 446 indexed citations
13.
Moore, Richard C., Fengqing Xiang, Dong Han, et al.. (2001). Huntington Disease Phenocopy Is a Familial Prion Disease. The American Journal of Human Genetics. 69(6). 1385–1388. 95 indexed citations
14.
Moore, Richard C. & Richard J. Cyr. (2000). Association between elongation factor-1? and microtubules in vivo is domain dependent and conditional. Cell Motility and the Cytoskeleton. 45(4). 279–292. 47 indexed citations
15.
Moore, Richard C., James Hope, Patricia McBride, et al.. (1998). Mice with gene targetted prion protein alterations show that Prnp, Sine and Prni are congruent. Nature Genetics. 18(2). 118–125. 151 indexed citations
16.
Moore, Richard C., Neil A. Durso, & Richard J. Cyr. (1998). Elongation factor-1α stabilizes microtubules in a calcium/calmodulin-dependent manner. Cell Motility and the Cytoskeleton. 41(2). 168–180. 68 indexed citations
17.
Moore, Richard C.. (1997). Transgenic analysis of prion diseases. Molecular Human Reproduction. 3(6). 529–544. 20 indexed citations
18.
Moore, Richard C., Min Zhang, Lynne Cassimeris, & Richard J. Cyr. (1997). In vitro assembled plant microtubules exhibit a high state of dynamic instability. Cell Motility and the Cytoskeleton. 38(3). 278–286. 56 indexed citations
19.
Farquhar, Christine, et al.. (1996). Protease-resistant PrP deposition in brain and non-central nervous system tissues of a murine model of bovine spongiform encephalopathy. Journal of General Virology. 77(8). 1941–1946. 29 indexed citations
20.
Moore, Richard C., et al.. (1966). Hatching of the eggs of Aedes taeniorhynchus (Wiedemann) (Diptera: Culicidae) in response to temperature and flooding.. Mosquito news. 26(3). 5 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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