Corey Hudson
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 10%
Papers in
-
- Genomics and Phylogenetic Studies 7
- Microbial Metabolic Engineering and Bioproduction 5
- CRISPR and Genetic Engineering 2
- Co-authors
- Kelly P. Williams (9 shared papers)Gavin C. Conant (4 shared papers)Michaël Bekaert (2 shared papers)J. Chris Pires (2 shared papers)Patrick P. Edger (1 shared paper)Zachary Bent (2 shared papers)Robert J. Meagher (1 shared paper)Nicholas D. Pattengale (2 shared papers)
- Journals
- Nucleic Acids Research (4 papers)PLoS ONE (2 papers)Frontiers in Microbiology (1 paper)BMC Medical Genomics (1 paper)Annals of Applied Biology (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Corey Hudson
26 papers receiving 600 citations
Peers
Comparison fields: 5 of 108
- Molecular Medicine 96
- Endocrinology 49
- Plant Science 209
- Molecular Biology 318
- Applied Microbiology and Biotechnology 9
Countries citing papers authored by Corey Hudson
This map shows the geographic impact of Corey Hudson'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 Corey Hudson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Corey Hudson more than expected).
Fields of papers citing papers by Corey Hudson
This network shows the impact of papers produced by Corey Hudson. 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 Corey Hudson. The network helps show where Corey Hudson may publish in the future.
Co-authors
The 25 scholars most cited alongside Corey Hudson, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 149 | |
| 2 | 2014 | 116 | |
| 3 | 2014 | 81 | |
| 4 | 2014 | 33 | |
| 5 | 2014 | 33 | |
| 6 | 2016 | 25 | |
| 7 | 2011 | 24 | |
| 8 | 2011 | 21 | |
| 9 | 2021 | 18 | |
| 10 | 2020 | 14 | |
| 11 | 2020 | 12 | |
| 12 | 2022 | 11 | |
| 13 | 2019 | 10 | |
| 14 | 2013 | 10 | |
| 15 | 2019 | 8 | |
| 16 | 2015 | 7 | |
| 17 | 2014 | 7 | |
| 18 | 2022 | 5 | |
| 19 | 2016 | 5 | |
| 20 | 2020 | 4 |
About Corey Hudson
Corey Hudson is a scholar working on Molecular Biology, Computer Networks and Communications, Ecology, Artificial Intelligence and Computational Theory and Mathematics, having authored 27 papers that have together received 603 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Computational Drug Discovery Methods (3 papers), Bacteriophages and microbial interactions (3 papers), Antibiotic Resistance in Bacteria (3 papers), Bacterial Genetics and Biotechnology (2 papers), Blockchain Technology Applications and Security (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Molecular Medicine (96 citations), Endocrinology (49 citations), Plant Science (209 citations), Molecular Biology (318 citations) and Applied Microbiology and Biotechnology (9 citations). Corey Hudson has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Kelly P. Williams, Gavin C. Conant, Michaël Bekaert, J. Chris Pires, Patrick P. Edger, Zachary Bent, Robert J. Meagher, Nicholas D. Pattengale, Anthe George and Leanne S. Whitmore. Their work appears in journals such as Nucleic Acids Research, PLoS ONE, Frontiers in Microbiology, BMC Medical Genomics and Annals of Applied Biology.
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.