Devon M. Fitzgerald
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Genetics top 10%
- Bacterial Genetics and Biotechnology
- Evolution and Genetic Dynamics
Papers in
- Genetics 16
- Bacterial Genetics and Biotechnology 13
- Evolution and Genetic Dynamics 3
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- DNA Repair Mechanisms 11
- CRISPR and Genetic Engineering 4
- RNA and protein synthesis mechanisms 4
- Gene Regulatory Network Analysis 3
- Genomics and Phylogenetic Studies 2
- Co-authors
- Susan M. Rosenberg (10 shared papers)Joseph T. Wade (5 shared papers)Richard P. Bonocora (2 shared papers)P. J. Hastings (5 shared papers)Jun Xia (5 shared papers)John P. Pribis (4 shared papers)Qian Mei (5 shared papers)Jessica C. Wilks (1 shared paper)
- Journals
- Science Advances (3 papers)eLife (2 papers)PLoS Genetics (2 papers)mBio (1 paper)Cell (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Devon M. Fitzgerald
24 papers receiving 803 citations
Peers
Comparison fields: 5 of 92
- Molecular Medicine 112
- Genetics 365
- Endocrinology 67
- Molecular Biology 505
- Cancer Research 68
Countries citing papers authored by Devon M. Fitzgerald
This map shows the geographic impact of Devon M. Fitzgerald'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 Devon M. Fitzgerald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devon M. Fitzgerald more than expected).
Fields of papers citing papers by Devon M. Fitzgerald
This network shows the impact of papers produced by Devon M. Fitzgerald. 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 Devon M. Fitzgerald. The network helps show where Devon M. Fitzgerald may publish in the future.
Co-authors
The 25 scholars most cited alongside Devon M. Fitzgerald, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 145 | |
| 2 | 2019 | 139 | |
| 3 | 2016 | 114 | |
| 4 | 2008 | 79 | |
| 5 | 2019 | 69 | |
| 6 | 2019 | 47 | |
| 7 | 2019 | 42 | |
| 8 | 2016 | 34 | |
| 9 | 2013 | 24 | |
| 10 | 2023 | 21 | |
| 11 | 2021 | 17 | |
| 12 | 2011 | 16 | |
| 13 | 2023 | 13 | |
| 14 | 2016 | 11 | |
| 15 | 2018 | 10 | |
| 16 | 2019 | 8 | |
| 17 | 2025 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 2017 | 4 | |
| 20 | 2024 | 4 |
About Devon M. Fitzgerald
Devon M. Fitzgerald is a scholar working on Genetics, Molecular Biology, Cancer Research, Cell Biology and Molecular Medicine, having authored 24 papers that have together received 816 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (13 papers), DNA Repair Mechanisms (11 papers), CRISPR and Genetic Engineering (4 papers), RNA and protein synthesis mechanisms (4 papers), Cancer Genomics and Diagnostics (3 papers), Gene Regulatory Network Analysis (3 papers), Evolution and Genetic Dynamics (3 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Molecular Medicine (112 citations), Genetics (365 citations), Endocrinology (67 citations), Molecular Biology (505 citations) and Cancer Research (68 citations). Devon M. Fitzgerald has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Susan M. Rosenberg, Joseph T. Wade, Richard P. Bonocora, P. J. Hastings, Jun Xia, John P. Pribis, Qian Mei, Jessica C. Wilks, Geetha Kannan and Joan L. Slonczewski. Their work appears in journals such as Science Advances, eLife, PLoS Genetics, mBio and Cell.
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.