Evan Appleton

1.1k citations
19 papers · 572 · h-index 12

Impact in

    • CRISPR and Genetic Engineering
    • Gene Regulatory Network Analysis
    • Microbial Metabolic Engineering and Bioproduction
    • RNA and protein synthesis mechanisms
    • Viral Infectious Diseases and Gene Expression in Insects

Papers in

    • CRISPR and Genetic Engineering 8
    • Gene Regulatory Network Analysis 6
    • Microbial Metabolic Engineering and Bioproduction 4
    • RNA Interference and Gene Delivery 2
    • Bacterial Genetics and Biotechnology 3

Evan Appleton

18 papers receiving 551 citations

Peers

Evan Appleton
Comparison fields: 5 of 87
  • Business and International Management 22
  • Molecular Biology 460
  • Insect Science 81
  • Biophysics 22
  • Genetics 102
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Citations per field
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Citations per year

Countries citing papers authored by Evan Appleton

Since Specialization
Citations

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

Fields of papers citing papers by Evan Appleton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evan Appleton. 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 Evan Appleton. The network helps show where Evan Appleton may publish in the future.

Co-authors

The 25 scholars most cited alongside Evan Appleton, 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 Evan Appleton Line = papers co-authored together Evan Appleton links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2014223
2 201271
3 201756
4 201440
5 202125
6 202224
7 202123
8 202022
9 202220
10 201718
11 202117
12 201016
13 20146
14 20213
15 20143
16 20123
17 20251
18
BBF RFC 94: Type IIS Assembly for Bacterial Transcriptional Units: A Standardized Assembly Method for Building Bacterial Transcriptional Units Using the Type IIS Restriction Enzymes BsaI and BbsI
20151
19 20240

About Evan Appleton

Evan Appleton is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Biophysics and Public Health, Environmental and Occupational Health, having authored 19 papers that have together received 572 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), Gene Regulatory Network Analysis (6 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), 3D Printing in Biomedical Research (4 papers), Cell Image Analysis Techniques (3 papers), Bacterial Genetics and Biotechnology (3 papers), Biotechnology and Related Fields (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Business and International Management (22 citations), Molecular Biology (460 citations), Insect Science (81 citations), Biophysics (22 citations) and Genetics (102 citations). Evan Appleton has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Douglas Densmore, George M. Church, Kenneth A. Oye, Todd Kuiken, Kevin M. Esvelt, Andrea L. Smidler, Flaminia Catteruccia, James P. Collins, Curtis Madsen and Nicholas Roehner. Their work appears in journals such as ACS Synthetic Biology, Cell Reports, Science Advances, Nature Methods and Journal of Geophysical Research Atmospheres.

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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