Julia M. Flynn
- Genetics top 2%
- Evolution and Genetic Dynamics 6
- Bacterial Genetics and Biotechnology 4
- Endocrinology top 5%
- Molecular Biology top 5%
- Protein Structure and Dynamics 6
- Heat shock proteins research 6
- vaccines and immunoinformatics approaches 4
- CRISPR and Genetic Engineering 4
- Molecular Medicine top 5%
- Cell Biology top 5%
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- SARS-CoV-2 and COVID-19 Research 5
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- Computational Drug Discovery Methods 5
- Co-authors
- Tania A. BakerRobert T. SauerSaskia B. NeherIgor LevchenkoYong‐In KimDaniel N. BolonSue WicknerParul Mishra
- Journals
- Genes & Development (3 papers)Proceedings of the National Academy of Sciences (3 papers)ACS Infectious Diseases (2 papers)
- Partner nations
- United StatesSwitzerlandPortugal
In The Last Decade
Julia M. Flynn
27 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 96
- Genetics 773
- Endocrinology 120
- Molecular Biology 1.5k
- Molecular Medicine 87
- Cell Biology 269
Countries citing papers authored by Julia M. Flynn
This map shows the geographic impact of Julia M. Flynn'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 Julia M. Flynn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia M. Flynn more than expected).
Fields of papers citing papers by Julia M. Flynn
This network shows the impact of papers produced by Julia M. Flynn. 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 Julia M. Flynn. The network helps show where Julia M. Flynn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Julia M. Flynn, 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 | 2025 | 2 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 17 | |
| 6 | 2023 | 15 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 59 | |
| 9 | 2022 | 73 | |
| 10 | 2020 | 7 | |
| 11 | 2020 | 42 | |
| 12 | 2018 | 63 | |
| 13 | 2018 | 21 | |
| 14 | 2016 | 60 | |
| 15 | 2015 | 20 | |
| 16 | 2007 | 82 | |
| 17 | 2005 | 37 | |
| 18 | 2004 | 162 | |
| 19 | 2003 | 80 | |
| 20 | 2003 | 17 |
About Julia M. Flynn
Julia M. Flynn is a scholar working on Virology, Genetics and Physical and Theoretical Chemistry, having authored 27 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Evolution and Genetic Dynamics (6 papers), Heat shock proteins research (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Computational Drug Discovery Methods (5 papers), vaccines and immunoinformatics approaches (4 papers), CRISPR and Genetic Engineering (4 papers) and Bacterial Genetics and Biotechnology (4 papers). The work is most often cited by research in Genetics (773 citations), Endocrinology (120 citations) and Molecular Biology (1.5k citations). Julia M. Flynn has collaborated with scholars based in United States, Switzerland and Portugal. Frequent co-authors include Tania A. Baker, Robert T. Sauer, Saskia B. Neher, Igor Levchenko, Yong‐In Kim, Daniel N. Bolon, Sue Wickner, Parul Mishra, Robert A. Grant and Tyler N. Starr. Their work appears in journals such as Genes & Development, Proceedings of the National Academy of Sciences, ACS Infectious Diseases, eLife and Current Opinion in Structural 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.