Nathaniel D. Maynard

866 total citations
8 papers, 629 citations indexed

About

Nathaniel D. Maynard is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Nathaniel D. Maynard has authored 8 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Ecology and 2 papers in Genetics. Recurrent topics in Nathaniel D. Maynard's work include RNA and protein synthesis mechanisms (3 papers), RNA modifications and cancer (2 papers) and Bacteriophages and microbial interactions (2 papers). Nathaniel D. Maynard is often cited by papers focused on RNA and protein synthesis mechanisms (3 papers), RNA modifications and cancer (2 papers) and Bacteriophages and microbial interactions (2 papers). Nathaniel D. Maynard collaborates with scholars based in United States and Switzerland. Nathaniel D. Maynard's co-authors include Markus W. Covert, Karla Kirkegaard, Sara W. Bird, Jayodita C. Sanghvi, Miriam V. Gutschow, Jörg Stelling, Marco Terzer, Timothy K. Lee, Jacob Hughey and Lü Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Methods and PLoS Genetics.

In The Last Decade

Nathaniel D. Maynard

8 papers receiving 622 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathaniel D. Maynard United States 8 387 117 112 102 89 8 629
Tomáš Kouba Czechia 14 499 1.3× 71 0.6× 94 0.8× 195 1.9× 164 1.8× 33 758
Nir Drayman United States 14 287 0.7× 85 0.7× 175 1.6× 154 1.5× 98 1.1× 22 649
John Von Dollen United States 10 335 0.9× 74 0.6× 58 0.5× 142 1.4× 81 0.9× 11 604
Xinlei Sheng United States 14 442 1.1× 75 0.6× 105 0.9× 133 1.3× 58 0.7× 23 801
Sofia Caria Australia 14 345 0.9× 111 0.9× 131 1.2× 88 0.9× 69 0.8× 26 596
Jacqueline Staring Netherlands 5 690 1.8× 152 1.3× 90 0.8× 155 1.5× 153 1.7× 5 973
Katharina Haneke Germany 7 371 1.0× 61 0.5× 89 0.8× 35 0.3× 71 0.8× 7 527
Daisuke Fujikura Japan 17 348 0.9× 55 0.5× 300 2.7× 182 1.8× 191 2.1× 34 806
Smadar Cohen‐Chalamish Israel 15 1.0k 2.6× 235 2.0× 67 0.6× 175 1.7× 47 0.5× 21 1.2k
Ching-Hung Shen United States 6 380 1.0× 120 1.0× 173 1.5× 154 1.5× 106 1.2× 7 570

Countries citing papers authored by Nathaniel D. Maynard

Since Specialization
Citations

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

Fields of papers citing papers by Nathaniel D. Maynard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathaniel D. Maynard. 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 Nathaniel D. Maynard. The network helps show where Nathaniel D. Maynard may publish in the future.

Co-authorship network of co-authors of Nathaniel D. Maynard

This figure shows the co-authorship network connecting the top 25 collaborators of Nathaniel D. Maynard. A scholar is included among the top collaborators of Nathaniel D. Maynard 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 Nathaniel D. Maynard. Nathaniel D. Maynard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Thomas, Steven R., Nathaniel D. Maynard, & John Gill. (2015). DNA library construction using Gibson Assembly®. Nature Methods. 12(11). i–ii. 14 indexed citations
2.
Bird, Sara W., Nathaniel D. Maynard, Markus W. Covert, & Karla Kirkegaard. (2014). Nonlytic viral spread enhanced by autophagy components. Proceedings of the National Academy of Sciences. 111(36). 13081–13086. 194 indexed citations
3.
Maynard, Nathaniel D., Derek N. Macklin, Karla Kirkegaard, & Markus W. Covert. (2012). Competing pathways control host resistance to virus via tRNA modification and programmed ribosomal frameshifting. Molecular Systems Biology. 8(1). 567–567. 45 indexed citations
4.
Maynard, Nathaniel D., et al.. (2010). A Forward-Genetic Screen and Dynamic Analysis of Lambda Phage Host-Dependencies Reveals an Extensive Interaction Network and a New Anti-Viral Strategy. PLoS Genetics. 6(7). e1001017–e1001017. 71 indexed citations
5.
Maynard, Nathaniel D., et al.. (2010). The virus as metabolic engineer. Biotechnology Journal. 5(7). 686–694. 58 indexed citations
6.
Terzer, Marco, Nathaniel D. Maynard, Markus W. Covert, & Jörg Stelling. (2009). Genome‐scale metabolic networks. WIREs Systems Biology and Medicine. 1(3). 285–297. 88 indexed citations
7.
Lee, Timothy K., et al.. (2009). A Noisy Paracrine Signal Determines the Cellular NF-κB Response to Lipopolysaccharide. Science Signaling. 2(93). ra65–ra65. 118 indexed citations
8.
Maynard, Nathaniel D., Jing Chen, Rhona Stuart, Jian‐Bing Fan, & Bing Ren. (2008). Genome-wide mapping of allele-specific protein-DNA interactions in human cells. Nature Methods. 5(4). 307–309. 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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