John M. Pryor

1.2k total citations
20 papers, 835 citations indexed

About

John M. Pryor is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, John M. Pryor has authored 20 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in John M. Pryor's work include DNA Repair Mechanisms (14 papers), CRISPR and Genetic Engineering (9 papers) and DNA and Nucleic Acid Chemistry (6 papers). John M. Pryor is often cited by papers focused on DNA Repair Mechanisms (14 papers), CRISPR and Genetic Engineering (9 papers) and DNA and Nucleic Acid Chemistry (6 papers). John M. Pryor collaborates with scholars based in United States, Spain and United Kingdom. John M. Pryor's co-authors include Dale A. Ramsden, Katharina Bilotti, Gregory J. S. Lohman, В. А. Потапов, M. Todd Washington, Natasha T. Strande, Eric J. Cantor, Rebecca Kucera, David W. Wyatt and Bret Freudenthal and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

John M. Pryor

20 papers receiving 829 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 M. Pryor United States 16 765 141 96 93 57 20 835
Christine Strand United States 7 819 1.1× 146 1.0× 128 1.3× 62 0.7× 54 0.9× 7 995
Bryan Gibb United States 12 987 1.3× 180 1.3× 121 1.3× 68 0.7× 70 1.2× 14 1.1k
Junhong Choi United States 17 1.1k 1.5× 185 1.3× 46 0.5× 113 1.2× 66 1.2× 31 1.2k
Hyongi Chon Japan 17 1.1k 1.5× 203 1.4× 105 1.1× 63 0.7× 71 1.2× 30 1.3k
Tracy Nissan Sweden 17 1.2k 1.6× 79 0.6× 89 0.9× 93 1.0× 85 1.5× 25 1.3k
Jennifer A. Surtees United States 17 961 1.3× 279 2.0× 71 0.7× 114 1.2× 127 2.2× 36 1.1k
Masayuki Takahashi Japan 18 892 1.2× 189 1.3× 38 0.4× 107 1.2× 33 0.6× 47 1.1k
Kathrin Leppek United States 9 1.2k 1.6× 109 0.8× 70 0.7× 182 2.0× 54 0.9× 11 1.4k
Yeming Wang China 15 564 0.7× 126 0.9× 23 0.2× 61 0.7× 55 1.0× 24 691
Jayson Bowers United States 12 986 1.3× 168 1.2× 66 0.7× 132 1.4× 71 1.2× 16 1.1k

Countries citing papers authored by John M. Pryor

Since Specialization
Citations

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

Fields of papers citing papers by John M. Pryor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John M. Pryor

This figure shows the co-authorship network connecting the top 25 collaborators of John M. Pryor. A scholar is included among the top collaborators of John M. Pryor 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 M. Pryor. John M. Pryor 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.
Bilotti, Katharina, Sarah Keep, John M. Pryor, et al.. (2024). One-pot Golden Gate Assembly of an avian infectious bronchitis virus reverse genetics system. PLoS ONE. 19(7). e0307655–e0307655. 2 indexed citations
2.
Pryor, John M., В. А. Потапов, Katharina Bilotti, Nilisha Pokhrel, & Gregory J. S. Lohman. (2022). Rapid 40 kb Genome Construction from 52 Parts through Data-optimized Assembly Design. ACS Synthetic Biology. 11(6). 2036–2042. 56 indexed citations
3.
Bilotti, Katharina, et al.. (2022). Mismatch discrimination and sequence bias during end-joining by DNA ligases. Nucleic Acids Research. 50(8). 4647–4658. 19 indexed citations
4.
Pryor, John M., В. А. Потапов, Rebecca Kucera, et al.. (2020). Enabling one-pot Golden Gate assemblies of unprecedented complexity using data-optimized assembly design. PLoS ONE. 15(9). e0238592–e0238592. 60 indexed citations
5.
Pryor, John M., et al.. (2020). Structural snapshots of human DNA polymerase μ engaged on a DNA double-strand break. Nature Communications. 11(1). 4784–4784. 8 indexed citations
6.
Pryor, John M., et al.. (2018). Ribonucleotide incorporation enables repair of chromosome breaks by nonhomologous end joining. Science. 361(6407). 1126–1129. 68 indexed citations
7.
Потапов, В. А., Jennifer L. Ong, Rebecca Kucera, et al.. (2018). Comprehensive Profiling of Four Base Overhang Ligation Fidelity by T4 DNA Ligase and Application to DNA Assembly. ACS Synthetic Biology. 7(11). 2665–2674. 122 indexed citations
8.
Moon, A.F., John M. Pryor, Dale A. Ramsden, et al.. (2017). Structural accommodation of ribonucleotide incorporation by the DNA repair enzyme polymerase Mu. Nucleic Acids Research. 45(15). 9138–9148. 27 indexed citations
9.
Sastre-Moreno, Guillermo, John M. Pryor, Felipe Cortés‐Ledesma, et al.. (2017). Regulation of human polλ by ATM-mediated phosphorylation during non-homologous end joining. DNA repair. 51. 31–45. 16 indexed citations
10.
Sastre-Moreno, Guillermo, John M. Pryor, Alberto Díaz‐Talavera, et al.. (2017). Polμ tumor variants decrease the efficiency and accuracy of NHEJ. Nucleic Acids Research. 45(17). 10018–10031. 8 indexed citations
11.
Pryor, John M., Kenjiro Asagoshi, Christina Strom, et al.. (2015). Essential role for polymerase specialization in cellular nonhomologous end joining. Proceedings of the National Academy of Sciences. 112(33). E4537–45. 57 indexed citations
12.
Strande, Natasha T., et al.. (2014). Nonhomologous end joining: A good solution for bad ends. DNA repair. 17. 39–51. 95 indexed citations
13.
Strande, Natasha T., John M. Pryor, Christina Strom, et al.. (2014). The fidelity of the ligation step determines how ends are resolved during nonhomologous end joining. Nature Communications. 5(1). 4286–4286. 68 indexed citations
14.
Moon, A.F., John M. Pryor, Dale A. Ramsden, et al.. (2014). Sustained active site rigidity during synthesis by human DNA polymerase μ. Nature Structural & Molecular Biology. 21(3). 253–260. 57 indexed citations
15.
Plapp, Bryce V., et al.. (2012). Bradykinetic alcohol dehydrogenases make yeast fitter for growth in the presence of allyl alcohol. Chemico-Biological Interactions. 202(1-3). 104–110. 17 indexed citations
16.
Pryor, John M., Lokesh Gakhar, & M. Todd Washington. (2012). Structure and Functional Analysis of the BRCT Domain of Translesion Synthesis DNA Polymerase Rev1. Biochemistry. 52(1). 254–263. 13 indexed citations
17.
Pryor, John M. & M. Todd Washington. (2011). Pre-steady state kinetic studies show that an abasic site is a cognate lesion for the yeast Rev1 protein. DNA repair. 10(11). 1138–1144. 17 indexed citations
18.
Sherrer, Shanen M., Kevin A. Fiala, Jason D. Fowler, et al.. (2010). Quantitative analysis of the efficiency and mutagenic spectra of abasic lesion bypass catalyzed by human Y-family DNA polymerases. Nucleic Acids Research. 39(2). 609–622. 30 indexed citations
19.
Washington, M. Todd, et al.. (2009). Variations on a theme: Eukaryotic Y-family DNA polymerases. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1804(5). 1113–1123. 72 indexed citations
20.
Mason, Aaron C., et al.. (2008). An Alternative Form of Replication Protein A Prevents Viral Replication in Vitro. Journal of Biological Chemistry. 284(8). 5324–5331. 23 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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