Travis Bayer
Impact in
- Molecular Biology top 10%
- Advanced biosensing and bioanalysis techniques
- RNA and protein synthesis mechanisms
- Microbial Metabolic Engineering and Bioproduction
- 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 5
- Advanced biosensing and bioanalysis techniques 4
- Microbial Metabolic Engineering and Bioproduction 2
- Fungal and yeast genetics research 1
- Genetics 4
- Bacterial Genetics and Biotechnology 3
- Co-authors
- Andrew D. Ellington (4 shared papers)Karl D. Brune (1 shared paper)Kevin G. Hoff (2 shared papers)Christina D. Smolke (2 shared papers)Chase L. Beisel (2 shared papers)Romy Kirby (1 shared paper)Eun Jeong Cho (1 shared paper)Dean P. Neikirk (1 shared paper)
- Journals
- Scientific Reports (2 papers)Current Biology (1 paper)Molecular BioSystems (1 paper)Analytical Chemistry (1 paper)Frontiers in Microbiology (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Travis Bayer
17 papers receiving 978 citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 785
- Biomedical Engineering 308
- Ecology 101
- Genetics 88
- Biotechnology 23
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 | 120 | |
| 4 | 2005 | 99 | |
| 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 | 2023 | 3 | |
| 17 | 2013 | 2 |
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 1.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), Gene Regulatory Network Analysis (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Bacterial Genetics and Biotechnology (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Bacteriophages and microbial interactions (2 papers), Molecular Sensors and Ion Detection (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Molecular Biology (785 citations), Biomedical Engineering (308 citations), Ecology (101 citations), Genetics (88 citations) and Biotechnology (23 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, Christina D. Smolke, Chase L. Beisel, Romy Kirby, Eun Jeong Cho, Dean P. Neikirk, John T. McDevitt and Ethan A. Mirsky. Their work appears in journals such as Scientific Reports, Current Biology, Molecular BioSystems, Analytical Chemistry and Frontiers in Microbiology.
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.