Evan M. Appleton
Impact in
-
- CRISPR and Genetic Engineering
- Gene Regulatory Network Analysis
- Pluripotent Stem Cells Research
- Microbial Metabolic Engineering and Bioproduction
- Single-cell and spatial transcriptomics
- RNA and protein synthesis mechanisms
Papers in
-
- Cell Image Analysis Techniques 3
-
- CRISPR and Genetic Engineering 9
- Gene Regulatory Network Analysis 5
- Pluripotent Stem Cells Research 3
- Viral Infectious Diseases and Gene Expression in Insects 2
- Co-authors
- George M. Church (7 shared papers)Todd Kuiken (2 shared papers)Kenneth A. Oye (2 shared papers)Andrea L. Smidler (1 shared paper)James P. Collins (1 shared paper)Flaminia Catteruccia (1 shared paper)Kevin M. Esvelt (1 shared paper)Douglas M. Densmore (6 shared papers)
- Journals
- ACS Synthetic Biology (3 papers)Science Advances (2 papers)Cell Reports (2 papers)Nature Communications (2 papers)Nature Methods (2 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Evan M. Appleton
18 papers receiving 730 citations
Peers
Comparison fields: 5 of 90
- Business and International Management 25
- Molecular Biology 582
- Insect Science 91
- Aging 9
- Biophysics 26
Countries citing papers authored by Evan M. Appleton
This map shows the geographic impact of Evan M. 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 M. 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 M. Appleton more than expected).
Fields of papers citing papers by Evan M. Appleton
This network shows the impact of papers produced by Evan M. 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 M. Appleton. The network helps show where Evan M. Appleton may publish in the future.
Co-authors
The 25 scholars most cited alongside Evan M. Appleton, 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 | 261 | |
| 2 | 2020 | 153 | |
| 3 | 2012 | 77 | |
| 4 | 2014 | 40 | |
| 5 | 2020 | 37 | |
| 6 | 2021 | 32 | |
| 7 | 2022 | 28 | |
| 8 | 2021 | 27 | |
| 9 | 2022 | 22 | |
| 10 | 2017 | 21 | |
| 11 | 2021 | 19 | |
| 12 | 2010 | 18 | |
| 13 | 2025 | 8 | |
| 14 | 2021 | 4 | |
| 15 | 2021 | 4 | |
| 16 | 2012 | 3 | |
| 17 | 2014 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2024 | 0 | |
| 20 | 2026 | 0 |
About Evan M. Appleton
Evan M. Appleton is a scholar working on Biophysics, Molecular Biology, Genetics, Biomedical Engineering and Immunology, having authored 20 papers that have together received 757 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (9 papers), Gene Regulatory Network Analysis (5 papers), 3D Printing in Biomedical Research (4 papers), Pluripotent Stem Cells Research (3 papers), Cell Image Analysis Techniques (3 papers), Animal Genetics and Reproduction (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Business and International Management (25 citations), Molecular Biology (582 citations), Insect Science (91 citations), Aging (9 citations) and Biophysics (26 citations). Evan M. Appleton has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include George M. Church, Todd Kuiken, Kenneth A. Oye, Andrea L. Smidler, James P. Collins, Flaminia Catteruccia, Kevin M. Esvelt, Douglas M. Densmore, Traci L. Haddock and Jenhan Tao. Their work appears in journals such as ACS Synthetic Biology, Science Advances, Cell Reports, Nature Communications and Nature Methods.
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.