Annie Dosey
Impact in
- Structural Biology top 5%
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- Neuropeptides and Animal Physiology
Papers in
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- RNA and protein synthesis mechanisms 3
- Glycosylation and Glycoproteins Research 1
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- Influenza Virus Research Studies 3
- Co-authors
- Georgios Skiniotis (3 shared papers)Jeffrey Tarrasch (1 shared paper)Jacob P. Mahoney (1 shared paper)Billy Breton (1 shared paper)Ryan T. Strachan (1 shared paper)Franziska M. Heydenreich (1 shared paper)Roger K. Sunahara (1 shared paper)Li-Yin Huang (1 shared paper)
- Journals
- Cell (3 papers)Cell Reports (2 papers)Nature (2 papers)Science (2 papers)Journal of Virology (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Annie Dosey
15 papers receiving 1.1k citations
Annie Dosey's Hit Papers
Peers
Comparison fields: 5 of 100
- Structural Biology 31
- Cellular and Molecular Neuroscience 248
- Molecular Biology 678
- Pharmacology 143
- Epidemiology 187
Countries citing papers authored by Annie Dosey
This map shows the geographic impact of Annie Dosey'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 Annie Dosey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annie Dosey more than expected).
Fields of papers citing papers by Annie Dosey
This network shows the impact of papers produced by Annie Dosey. 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 Annie Dosey. The network helps show where Annie Dosey may publish in the future.
Co-authors
The 25 scholars most cited alongside Annie Dosey, 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 | GPCR-G Protein-β-Arrestin Super-Complex Mediates Sustained G Protein Signaling Hit paper breakdown → | 2016 | 425 |
| 2 | 2018 | 176 | |
| 3 | 2014 | 149 | |
| 4 | Top-down design of protein architectures with reinforcement learning Hit paper breakdown → | 2023 | 82 |
| 5 | 2017 | 49 | |
| 6 | 2022 | 42 | |
| 7 | 2020 | 41 | |
| 8 | 2015 | 38 | |
| 9 | 2024 | 29 | |
| 10 | 2024 | 19 | |
| 11 | 2023 | 17 | |
| 12 | 2017 | 12 | |
| 13 | 2023 | 11 | |
| 14 | 2018 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2026 | 0 |
About Annie Dosey
Annie Dosey is a scholar working on Molecular Biology, Epidemiology, Immunology, Infectious Diseases and Surgery, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (3 papers), RNA and protein synthesis mechanisms (3 papers), Immune Cell Function and Interaction (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Pancreatic function and diabetes (2 papers), Glycosylation and Glycoproteins Research (1 paper), Diabetes and associated disorders (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Structural Biology (31 citations), Cellular and Molecular Neuroscience (248 citations), Molecular Biology (678 citations), Pharmacology (143 citations) and Epidemiology (187 citations). Annie Dosey has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Georgios Skiniotis, Jeffrey Tarrasch, Jacob P. Mahoney, Billy Breton, Ryan T. Strachan, Franziska M. Heydenreich, Roger K. Sunahara, Li-Yin Huang, Bianca Plouffe and Arun K. Shukla. Their work appears in journals such as Cell, Cell Reports, Nature, Science and Journal of Virology.
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.