Roger E. Moore

2.0k total citations
42 papers, 1.5k citations indexed

About

Roger E. Moore is a scholar working on Molecular Biology, Organic Chemistry and Spectroscopy. According to data from OpenAlex, Roger E. Moore has authored 42 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Organic Chemistry and 7 papers in Spectroscopy. Recurrent topics in Roger E. Moore's work include Mass Spectrometry Techniques and Applications (7 papers), Ferrocene Chemistry and Applications (5 papers) and Advanced Proteomics Techniques and Applications (4 papers). Roger E. Moore is often cited by papers focused on Mass Spectrometry Techniques and Applications (7 papers), Ferrocene Chemistry and Applications (5 papers) and Advanced Proteomics Techniques and Applications (4 papers). Roger E. Moore collaborates with scholars based in United States, Singapore and United Kingdom. Roger E. Moore's co-authors include Terry D. Lee, Mary K. Young, Scott W. Stevens, Joseph R. Goodman, John Abelson, Daniel E. Ryan, Larry Licklider, Detlef Schumann, G. Marr and B. W. ROCKETT and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Roger E. Moore

41 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roger E. Moore United States 18 977 386 116 98 95 42 1.5k
Olivier Golaz Switzerland 16 1.1k 1.2× 754 2.0× 99 0.9× 77 0.8× 104 1.1× 25 1.7k
Renu Goel India 17 622 0.6× 161 0.4× 73 0.6× 79 0.8× 74 0.8× 38 1.1k
Sucharita Dutta United States 21 960 1.0× 276 0.7× 87 0.8× 136 1.4× 99 1.0× 42 1.6k
Roberto Raggiaschi Italy 18 669 0.7× 148 0.4× 129 1.1× 158 1.6× 69 0.7× 24 1.2k
Matthew J. McKay Australia 23 606 0.6× 292 0.8× 56 0.5× 80 0.8× 53 0.6× 55 1.2k
Katja Kuhlmann Germany 19 839 0.9× 215 0.6× 89 0.8× 93 0.9× 69 0.7× 24 1.3k
Josef Schwarz United Kingdom 6 1.4k 1.5× 1.1k 2.9× 58 0.5× 79 0.8× 98 1.0× 6 1.9k
Klaus Klarskov Canada 20 537 0.5× 198 0.5× 52 0.4× 99 1.0× 64 0.7× 56 1.2k
Anil K. Madugundu India 21 729 0.7× 190 0.5× 100 0.9× 104 1.1× 55 0.6× 58 1.3k
LeeAnn Higgins United States 23 773 0.8× 245 0.6× 113 1.0× 154 1.6× 58 0.6× 39 1.4k

Countries citing papers authored by Roger E. Moore

Since Specialization
Citations

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

Fields of papers citing papers by Roger E. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roger E. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Roger E. Moore. A scholar is included among the top collaborators of Roger E. 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 Roger E. Moore. Roger E. 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.
Kato, Mitsuo, Zhuo Chen, Sadhan Das, et al.. (2023). Long non-coding RNA lncMGC mediates the expression of TGF-β-induced genes in renal cells via nucleosome remodelers. Frontiers in Molecular Biosciences. 10. 1204124–1204124. 11 indexed citations
3.
Leung, Amy, Parijat Senapati, Hiroyuki Kato, et al.. (2023). Inhibition of DNMT1 methyltransferase activity via glucose-regulated O-GlcNAcylation alters the epigenome. eLife. 12. 13 indexed citations
4.
Birtele, Marcella, Tuan Nguyen, Brent Wilkinson, et al.. (2023). Non-synaptic function of the autism spectrum disorder-associated gene SYNGAP1 in cortical neurogenesis. Nature Neuroscience. 26(12). 2090–2103. 34 indexed citations
5.
Chan, Anthony, Mingli Li, Qiao Liu, et al.. (2022). ACTR5 controls CDKN2A and tumor progression in an INO80-independent manner. Science Advances. 8(51). eadc8911–eadc8911. 4 indexed citations
6.
Chomchan, Pritsana, et al.. (2019). Identification of Nucleolar Factors During HIV-1 Replication Through Rev Immunoprecipitation and Mass Spectrometry. Journal of Visualized Experiments. 3 indexed citations
7.
King, Jeremy D., Yuelong Ma, K.P. Bzymek, et al.. (2018). Template-Catalyzed, Disulfide Conjugation of Monoclonal Antibodies Using a Natural Amino Acid Tag. Bioconjugate Chemistry. 29(6). 2074–2081. 6 indexed citations
8.
Otto‐Duessel, Maya, Ben Yi Tew, Steven Vonderfecht, Roger E. Moore, & Jeremy O. Jones. (2017). Identification of neuron selective androgen receptor inhibitors. World Journal of Biological Chemistry. 8(2). 138–138. 6 indexed citations
9.
Cavallini, Annalisa, Suzanne Brewerton, Sarah Glover, et al.. (2013). An Unbiased Approach to Identifying Tau Kinases That Phosphorylate Tau at Sites Associated with Alzheimer Disease. Journal of Biological Chemistry. 288(32). 23331–23347. 95 indexed citations
10.
Zhang, Lei, George S. Katselis, Roger E. Moore, et al.. (2012). MHC class I target recognition, immunophenotypes and proteomic profiles of natural killer cells within the spleens of day-14 chick embryos. Developmental & Comparative Immunology. 37(3-4). 446–456. 11 indexed citations
11.
Moore, Roger E., et al.. (2010). Mass spectrometry measurement of a therapeutic peptide for use in multiple sclerosis. Gene Therapy. 17(6). 709–712. 1 indexed citations
12.
Moore, Roger E., Arnold M. Falick, Tatiana Omelchenko, et al.. (2010). Mass spectrometry of murine leukemia virus core proteins. Journal of Virological Methods. 169(2). 290–295. 2 indexed citations
13.
14.
Moore, Roger E., et al.. (2007). Proteomic analysis of in vivo-assembled pre-mRNA splicing complexes expands the catalog of participating factors. Nucleic Acids Research. 35(12). 3928–3944. 90 indexed citations
15.
Stevens, Scott W., Daniel E. Ryan, Roger E. Moore, et al.. (2002). Composition and Functional Characterization of the Yeast Spliceosomal Penta-snRNP. Molecular Cell. 9(1). 31–44. 205 indexed citations
16.
McDonald, Jay M., Harry C. Blair, Margaret A. McKenna, et al.. (2001). Osteoclasts Secrete the Chemotactic Cytokine Mim-1. Biochemical and Biophysical Research Communications. 281(1). 180–185. 30 indexed citations
17.
Bull, James J., et al.. (1987). A Model for Natural Selection of Genetic Migration. The American Naturalist. 129(1). 143–157. 32 indexed citations
18.
Marr, G., Roger E. Moore, & B. W. ROCKETT. (1969). Unsymmetrically disubstituted ferrocenes—VII. Tetrahedron. 25(16). 3477–3484. 17 indexed citations
19.
Goodman, Joseph R., et al.. (1957). Electron Microscopy of Formed Elements of Normal Human Blood. Blood. 12(5). 428–442. 49 indexed citations
20.
Piel, Carolyn F., et al.. (1955). THE GLOMERULUS IN EXPERIMENTAL RENAL DISEASE IN RATS AS OBSERVED BY LIGHT AND ELECTRON MICROSCOPY. The Journal of Experimental Medicine. 102(5). 573–580. 41 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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