Travis Bayer
Impact in
- Molecular Biology top 10%
- Advanced biosensing and bioanalysis techniques
- Microbial Metabolic Engineering and Bioproduction
- RNA and protein synthesis mechanisms
- Gene Regulatory Network Analysis
- CRISPR and Genetic Engineering
- RNA Interference and Gene Delivery
- Biomedical Engineering top 10%
- Biosensors and Analytical Detection
Papers in
-
- RNA and protein synthesis mechanisms 7
- Gene Regulatory Network Analysis 6
- Advanced biosensing and bioanalysis techniques 4
- Microbial Metabolic Engineering and Bioproduction 3
- Genetics 5
- Bacterial Genetics and Biotechnology 3
- Evolution and Genetic Dynamics 2
- Co-authors
- Andrew D. Ellington (4 shared papers)Karl D. Brune (1 shared paper)Kevin G. Hoff (2 shared papers)Chase L. Beisel (2 shared papers)Christina D. Smolke (2 shared papers)Eun Jeong Cho (1 shared paper)Dean P. Neikirk (1 shared paper)John T. McDevitt (1 shared paper)
- Journals
- Scientific Reports (2 papers)Journal of the American Chemical Society (1 paper)Current Biology (1 paper)Advances in experimental medicine and biology (1 paper)Analytical Chemistry (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Travis Bayer
17 papers receiving 971 citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 792
- Biomedical Engineering 313
- Ecology 102
- Genetics 90
- Biotechnology 25
Countries citing papers authored by Travis Bayer
This map shows the geographic impact of Travis Bayer'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 Travis Bayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis Bayer more than expected).
Fields of papers citing papers by Travis Bayer
This network shows the impact of papers produced by Travis Bayer. 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 Travis Bayer. The network helps show where Travis Bayer may publish in the future.
Co-authors
The 25 scholars most cited alongside Travis Bayer, 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 | 2004 | 255 | |
| 2 | 2009 | 180 | |
| 3 | 2012 | 118 | |
| 4 | 2005 | 98 | |
| 5 | 2008 | 94 | |
| 6 | 2009 | 87 | |
| 7 | 2002 | 53 | |
| 8 | 2013 | 35 | |
| 9 | 2008 | 27 | |
| 10 | 2010 | 12 | |
| 11 | 2017 | 11 | |
| 12 | 2012 | 8 | |
| 13 | 2017 | 7 | |
| 14 | 2013 | 5 | |
| 15 | 2010 | 3 | |
| 16 | 2013 | 2 | |
| 17 | 2023 | 1 |
About Travis Bayer
Travis Bayer is a scholar working on Molecular Biology, Genetics, Ecology, Plant Science and Biomedical Engineering, having authored 17 papers that have together received 996 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), Gene Regulatory Network Analysis (6 papers), Advanced biosensing and bioanalysis techniques (4 papers), Bacterial Genetics and Biotechnology (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Bacteriophages and microbial interactions (2 papers), Evolution and Genetic Dynamics (2 papers) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Molecular Biology (792 citations), Biomedical Engineering (313 citations), Ecology (102 citations), Genetics (90 citations) and Biotechnology (25 citations). Travis Bayer has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Andrew D. Ellington, Karl D. Brune, Kevin G. Hoff, Chase L. Beisel, Christina D. Smolke, Eun Jeong Cho, Dean P. Neikirk, John T. McDevitt, Romy Kirby and Ethan A. Mirsky. Their work appears in journals such as Scientific Reports, Journal of the American Chemical Society, Current Biology, Advances in experimental medicine and biology and Analytical Chemistry.
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.