John L. Goodier

4.7k total citations
44 papers, 3.5k citations indexed

About

John L. Goodier is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, John L. Goodier has authored 44 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 24 papers in Plant Science and 6 papers in Genetics. Recurrent topics in John L. Goodier's work include Chromosomal and Genetic Variations (24 papers), RNA and protein synthesis mechanisms (12 papers) and CRISPR and Genetic Engineering (9 papers). John L. Goodier is often cited by papers focused on Chromosomal and Genetic Variations (24 papers), RNA and protein synthesis mechanisms (12 papers) and CRISPR and Genetic Engineering (9 papers). John L. Goodier collaborates with scholars based in United States, Canada and United Kingdom. John L. Goodier's co-authors include Haig H. Kazazian, Eric Ostertag, Yue Zhang, Melissa Vetter, Ralph J. DeBerardinis, Lili Zhang, Prabhat K. Mandal, Kevin Du, Richard J Maraia and Haig H. Kazazian and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

John L. Goodier

44 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
John L. Goodier United States 26 2.7k 2.1k 538 219 218 44 3.5k
Alexander E. Vinogradov Russia 33 2.0k 0.7× 991 0.5× 980 1.8× 113 0.5× 296 1.4× 111 3.1k
Stefan Zoller Switzerland 29 943 0.3× 1.7k 0.8× 588 1.1× 293 1.3× 251 1.2× 60 3.4k
Michael W. Smith United States 26 1.3k 0.5× 532 0.3× 1.3k 2.5× 163 0.7× 292 1.3× 79 3.4k
Tadasu Shin‐I Japan 31 1.6k 0.6× 736 0.3× 686 1.3× 366 1.7× 183 0.8× 56 3.3k
Dirk U. Bellstedt South Africa 27 876 0.3× 835 0.4× 252 0.5× 97 0.4× 188 0.9× 87 2.2k
Steinar Johansen Norway 33 2.1k 0.8× 472 0.2× 597 1.1× 202 0.9× 614 2.8× 118 3.0k
M. J. D. White Australia 27 1.6k 0.6× 934 0.4× 1.6k 2.9× 866 4.0× 426 2.0× 69 4.5k
Alisha K. Holloway United States 26 1.9k 0.7× 432 0.2× 1.4k 2.5× 127 0.6× 217 1.0× 38 3.2k
Michihiro C. Yoshida Japan 37 2.4k 0.9× 598 0.3× 1.6k 3.0× 413 1.9× 851 3.9× 202 5.0k
Rita Neumann United Kingdom 26 2.5k 0.9× 859 0.4× 2.0k 3.6× 191 0.9× 208 1.0× 46 4.0k

Countries citing papers authored by John L. Goodier

Since Specialization
Citations

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

Fields of papers citing papers by John L. Goodier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John L. Goodier. 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 John L. Goodier. The network helps show where John L. Goodier may publish in the future.

Co-authorship network of co-authors of John L. Goodier

This figure shows the co-authorship network connecting the top 25 collaborators of John L. Goodier. A scholar is included among the top collaborators of John L. Goodier 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 John L. Goodier. John L. Goodier 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.
Goodier, John L., Gavin Pereira, Lauren DeVine, et al.. (2020). C9orf72-associated SMCR8 protein binds in the ubiquitin pathway and with proteins linked with neurological disease. Acta Neuropathologica Communications. 8(1). 110–110. 17 indexed citations
2.
Mayer, Jens, Laura Sánchez, Gavin Pereira, et al.. (2018). Transcriptional profiling of HERV-K(HML-2) in amyotrophic lateral sclerosis and potential implications for expression of HML-2 proteins. Molecular Neurodegeneration. 13(1). 39–39. 47 indexed citations
3.
Li, Peng, Juan Du, John L. Goodier, et al.. (2017). Aicardi–Goutières syndrome protein TREX1 suppresses L1 and maintains genome integrity through exonuclease-independent ORF1p depletion. Nucleic Acids Research. 45(8). 4619–4631. 68 indexed citations
4.
Goodier, John L.. (2016). Restricting retrotransposons: a review. Mobile DNA. 7(1). 16–16. 293 indexed citations
5.
Macia, Ángela, Thomas J. Widmann, Sara R. Heras, et al.. (2016). Engineered LINE-1 retrotransposition in nondividing human neurons. Genome Research. 27(3). 335–348. 109 indexed citations
6.
Goodier, John L.. (2014). Retrotransposition in tumors and brains. Mobile DNA. 5(1). 11–11. 41 indexed citations
7.
Goodier, John L., et al.. (2013). In Vitro Screening for Compounds That Enhance Human L1 Mobilization. PLoS ONE. 8(9). e74629–e74629. 19 indexed citations
8.
Goodier, John L., et al.. (2013). Mapping the LINE1 ORF1 protein interactome reveals associated inhibitors of human retrotransposition. Nucleic Acids Research. 41(15). 7401–7419. 129 indexed citations
9.
Goodier, John L., Prabhat K. Mandal, Lin Zhang, & H H Kazazian. (2010). Discrete subcellular partitioning of human retrotransposon RNAs despite a common mechanism of genome insertion. Human Molecular Genetics. 19(9). 1712–1725. 72 indexed citations
10.
Goodier, John L. & Haig H. Kazazian. (2008). Retrotransposons Revisited: The Restraint and Rehabilitation of Parasites. Cell. 135(1). 23–35. 469 indexed citations
11.
Goodier, John L., Lili Zhang, Melissa Vetter, & Haig H. Kazazian. (2007). LINE-1 ORF1 Protein Localizes in Stress Granules with Other RNA-Binding Proteins, Including Components of RNA Interference RNA-Induced Silencing Complex. Molecular and Cellular Biology. 27(18). 6469–6483. 217 indexed citations
12.
Goodier, John L.. (2004). A potential role for the nucleolus in L1 retrotransposition. Human Molecular Genetics. 13(10). 1041–1048. 90 indexed citations
13.
Ostertag, Eric, Ralph J. DeBerardinis, John L. Goodier, et al.. (2002). A mouse model of human L1 retrotransposition. Nature Genetics. 32(4). 655–660. 159 indexed citations
14.
Intine, Robert V., Ying Huang, Erik Pierstorff, et al.. (2000). Control of Transfer RNA Maturation by Phosphorylation of the Human La Antigen on Serine 366. Molecular Cell. 6(2). 339–348. 83 indexed citations
15.
Goodier, John L. & Richard J Maraia. (1998). Terminator-specific Recycling of a B1-AluTranscription Complex by RNA Polymerase III Is Mediated by the RNA Terminus-binding Protein La. Journal of Biological Chemistry. 273(40). 26110–26116. 25 indexed citations
16.
DeBerardinis, Ralph J., John L. Goodier, Eric Ostertag, & Haig H. Kazazian. (1998). Rapid amplification of a retrotransposon subfamily is evolving the mouse genome. Nature Genetics. 20(3). 288–290. 124 indexed citations
17.
Goodier, John L. & William S. Davidson. (1998). Characterization of Novel Minisatellite Repeat Loci in Atlantic Salmon (Salmo salar) and Their Phylogenetic Distribution. Journal of Molecular Evolution. 46(2). 245–255. 9 indexed citations
18.
19.
Egger, Keith N., et al.. (1995). Sequence and putative secondary structure of group I introns in the nuclear-encoded ribosomal RNA genes of the fungus Hymenoscyphus ericae. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1261(2). 275–278. 19 indexed citations
20.
Goodier, John L. & William S. Davidson. (1993). A repetitive element in the genome of Atlantic salmon, Salmo salar. Gene. 131(2). 237–242. 14 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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