Erik D. Carlson
Impact in
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- RNA modifications and cancer
- Viral Infectious Diseases and Gene Expression in Insects
- Advanced biosensing and bioanalysis techniques
- Biotechnology top 10%
Papers in
-
- RNA and protein synthesis mechanisms 8
- RNA modifications and cancer 4
- CRISPR and Genetic Engineering 3
- Advanced biosensing and bioanalysis techniques 1
- Genetics 4
- Bacterial Genetics and Biotechnology 4
- Co-authors
- Michael C. Jewett (7 shared papers)Rui Gan (2 shared papers)C. Eric Hodgman (1 shared paper)Teresa Szal (2 shared papers)Alexander S. Mankin (2 shared papers)Cédric Orelle (1 shared paper)Tanja Florin (1 shared paper)Do Soon Kim (2 shared papers)
- Journals
- ACS Synthetic Biology (2 papers)Nature Communications (2 papers)Nature (1 paper)Biotechnology and Bioengineering (1 paper)Biotechnology Advances (1 paper)
- Partner nations
- United States
In The Last Decade
Erik D. Carlson
9 papers receiving 934 citations
Erik D. Carlson's Hit Papers
Peers
Comparison fields: 5 of 78
- Molecular Biology 868
- Biotechnology 83
- Genetics 164
- Radiology, Nuclear Medicine and Imaging 127
- Ecology 121
Countries citing papers authored by Erik D. Carlson
This map shows the geographic impact of Erik D. Carlson'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 Erik D. Carlson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik D. Carlson more than expected).
Fields of papers citing papers by Erik D. Carlson
This network shows the impact of papers produced by Erik D. Carlson. 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 Erik D. Carlson. The network helps show where Erik D. Carlson may publish in the future.
Co-authors
The 25 scholars most cited alongside Erik D. Carlson, 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 | Cell-free protein synthesis: Applications come of age Hit paper breakdown → | 2011 | 522 |
| 2 | 2015 | 176 | |
| 3 | 2020 | 60 | |
| 4 | 2019 | 55 | |
| 5 | 2019 | 49 | |
| 6 | 2016 | 49 | |
| 7 | 2023 | 24 | |
| 8 | 2021 | 7 | |
| 9 | 2015 | 5 |
About Erik D. Carlson
Erik D. Carlson is a scholar working on Molecular Biology, Genetics, Ecology, Radiology, Nuclear Medicine and Imaging and Biotechnology, having authored 9 papers that have together received 947 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), Bacterial Genetics and Biotechnology (4 papers), RNA modifications and cancer (4 papers), CRISPR and Genetic Engineering (3 papers), Bacteriophages and microbial interactions (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Transgenic Plants and Applications (1 paper). The work is most often cited by research in Molecular Biology (868 citations), Biotechnology (83 citations), Genetics (164 citations), Radiology, Nuclear Medicine and Imaging (127 citations) and Ecology (121 citations). Erik D. Carlson has collaborated with scholars based in United States. Frequent co-authors include Michael C. Jewett, Rui Gan, C. Eric Hodgman, Teresa Szal, Alexander S. Mankin, Cédric Orelle, Tanja Florin, Do Soon Kim, Brian R. Fritz and Anne E. d’Aquino. Their work appears in journals such as ACS Synthetic Biology, Nature Communications, Nature, Biotechnology and Bioengineering and Biotechnology Advances.
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.