Scott Bailey
Impact in
- Aging top 5%
Papers in
-
- CRISPR and Genetic Engineering 21
- RNA and protein synthesis mechanisms 17
- DNA Repair Mechanisms 6
- RNA Interference and Gene Delivery 4
- Advanced biosensing and bioanalysis techniques 4
- Genetics 8
- Bacterial Genetics and Biotechnology 8
- Co-authors
- Thomas A. Steitz (8 shared papers)William K. Eliason (2 shared papers)A. Héroux (1 shared paper)Richard A. Wing (3 shared papers)Michael Estrella (2 shared papers)Fang‐Ting Kuo (1 shared paper)John Mallon (7 shared papers)Taekjip Ha (6 shared papers)
- Journals
- Journal of Biological Chemistry (8 papers)Nucleic Acids Research (5 papers)Science (3 papers)Nature Structural & Molecular Biology (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Scott Bailey
39 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 93
- Business and International Management 151
- Aging 85
- Molecular Biology 2.1k
- Endocrinology 127
- Genetics 538
Countries citing papers authored by Scott Bailey
This map shows the geographic impact of Scott Bailey'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 Scott Bailey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Bailey more than expected).
Fields of papers citing papers by Scott Bailey
This network shows the impact of papers produced by Scott Bailey. 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 Scott Bailey. The network helps show where Scott Bailey may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Bailey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 187 | |
| 2 | 2007 | 170 | |
| 3 | 2018 | 161 | |
| 4 | 2016 | 151 | |
| 5 | 2016 | 151 | |
| 6 | 2013 | 145 | |
| 7 | 1993 | 119 | |
| 8 | 2006 | 110 | |
| 9 | 2011 | 109 | |
| 10 | 2018 | 102 | |
| 11 | 2008 | 101 | |
| 12 | 2014 | 99 | |
| 13 | 2008 | 70 | |
| 14 | 2009 | 68 | |
| 15 | 2018 | 63 | |
| 16 | 2015 | 59 | |
| 17 | 2017 | 57 | |
| 18 | 2008 | 56 | |
| 19 | 2002 | 56 | |
| 20 | 2021 | 50 |
About Scott Bailey
Scott Bailey is a scholar working on Molecular Biology, Genetics, Ecology, Epidemiology and Physiology, having authored 41 papers that have together received 2.5k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (21 papers), RNA and protein synthesis mechanisms (17 papers), Bacterial Genetics and Biotechnology (8 papers), DNA Repair Mechanisms (6 papers), Bacteriophages and microbial interactions (6 papers), Adenosine and Purinergic Signaling (4 papers), RNA Interference and Gene Delivery (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). The work is most often cited by research in Business and International Management (151 citations), Aging (85 citations), Molecular Biology (2.1k citations), Endocrinology (127 citations) and Genetics (538 citations). Scott Bailey has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Thomas A. Steitz, William K. Eliason, A. Héroux, Richard A. Wing, Michael Estrella, Fang‐Ting Kuo, John Mallon, Taekjip Ha, Digvijay Singh and Anustup Poddar. Their work appears in journals such as Journal of Biological Chemistry, Nucleic Acids Research, Science, Nature Structural & Molecular Biology and Proceedings of the National Academy of Sciences.
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.