Nathaniel D. Maynard

866 citations
8 papers · 629 · h-index 8

Impact in

    • Microbial Metabolic Engineering and Bioproduction
    • Gene Regulatory Network Analysis
    • Immune Response and Inflammation

Papers in

    • RNA and protein synthesis mechanisms 3
    • RNA modifications and cancer 2
    • Microbial Metabolic Engineering and Bioproduction 2
    • Biochemical and Molecular Research 1
    • Bacteriophages and microbial interactions 2

Nathaniel D. Maynard

8 papers receiving 622 citations

Peers

Nathaniel D. Maynard
Comparison fields: 5 of 80
  • Molecular Biology 387
  • Immunology 112
  • Infectious Diseases 89
  • Genetics 117
  • Cancer Research 63
Replace Jacqueline Staring with:
Jacqueline Staring Netherlands
John Von Dollen United States
Xinlei Sheng United States
Wei‐Ru Huang Taiwan
Sofia Caria Australia
Daisuke Fujikura Japan
Katharina Haneke Germany
Francisco S. Mesquita Switzerland
Hisato Hirano Japan
Sally M. Harrison United Kingdom
Nathaniel D. Maynard relative to Jacqueline Staring Netherlands Jacqueline Staring's profile →
Citations per field
00.5×1.5×
Jacqueline Staring · 1×
Citations per year

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-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.

Border = papers with Nathaniel D. Maynard Line = papers co-authored together Nathaniel D. Maynard links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2014194
2 2009118
3 200988
4 201071
5 201058
6 201245
7 200841
8 201514

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 629 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), Bacteriophages and microbial interactions (2 papers), RNA modifications and cancer (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), interferon and immune responses (1 paper), Biochemical and Molecular Research (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Metalloenzymes and iron-sulfur proteins (1 paper). The work is most often cited by research in Molecular Biology (387 citations), Immunology (112 citations), Infectious Diseases (89 citations), Genetics (117 citations) and Cancer Research (63 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 Lü Chen. Their work appears in journals such as Nature Methods, Biotechnology Journal, WIREs Systems Biology and Medicine, Science Signaling and Proceedings of the National Academy of Sciences.

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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