Nathaniel D. Maynard
Impact in
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- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
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- Immune Response and Inflammation
Papers in
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- RNA and protein synthesis mechanisms 3
- Microbial Metabolic Engineering and Bioproduction 2
- RNA modifications and cancer 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Epigenetics and DNA Methylation 1
- Ecology 2
- Bacteriophages and microbial interactions 2
- Co-authors
- Markus W. Covert (6 shared papers)Karla Kirkegaard (2 shared papers)Sara W. Bird (1 shared paper)Jayodita C. Sanghvi (2 shared papers)Miriam V. Gutschow (2 shared papers)Jörg Stelling (1 shared paper)Marco Terzer (1 shared paper)Jacob Hughey (1 shared paper)
- Journals
- Nature Methods (2 papers)Proceedings of the National Academy of Sciences (1 paper)Molecular Systems Biology (1 paper)WIREs Systems Biology and Medicine (1 paper)Biotechnology Journal (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Nathaniel D. Maynard
8 papers receiving 653 citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 393
- Immunology 105
- Infectious Diseases 87
- Genetics 121
- Cancer Research 60
Countries citing papers authored by Nathaniel D. Maynard
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
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-authors
The 17 scholars most cited alongside Nathaniel D. Maynard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 202 | |
| 2 | 2009 | 118 | |
| 3 | 2009 | 98 | |
| 4 | 2010 | 74 | |
| 5 | 2010 | 61 | |
| 6 | 2012 | 47 | |
| 7 | 2008 | 41 | |
| 8 | 2015 | 20 |
About Nathaniel D. Maynard
Nathaniel D. Maynard is a scholar working on Molecular Biology, Ecology, Genetics, Epidemiology and Immunology, having authored 8 papers that have together received 661 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Bacteriophages and microbial interactions (2 papers), RNA modifications and cancer (2 papers), Metalloenzymes and iron-sulfur proteins (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Epigenetics and DNA Methylation (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Molecular Biology (393 citations), Immunology (105 citations), Infectious Diseases (87 citations), Genetics (121 citations) and Cancer Research (60 citations). Nathaniel D. Maynard has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Markus W. Covert, Karla Kirkegaard, Sara W. Bird, Jayodita C. Sanghvi, Miriam V. Gutschow, Jörg Stelling, Marco Terzer, Jacob Hughey, Timothy K. Lee and Derek N. Macklin. Their work appears in journals such as Nature Methods, Proceedings of the National Academy of Sciences, Molecular Systems Biology, WIREs Systems Biology and Medicine and Biotechnology Journal.
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.