Daniel S. Terry
- Biophysics top 0.5%
- Advanced Fluorescence Microscopy Techniques 12
- Structural Biology top 2%
- Virology top 2%
- HIV Research and Treatment 5
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms 10
- Advanced biosensing and bioanalysis techniques 8
- RNA modifications and cancer 6
- Receptor Mechanisms and Signaling 6
- Lipid Membrane Structure and Behavior 5
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- Neuroscience and Neuropharmacology Research 5
- Co-authors
- Scott C. BlanchardRuss B. AltmanJonathan A. JavitchZhou ZhouHarel WeinsteinYongfang ZhaoJames B. MunroLei Shi
- Cited by
- BiophysicsStructural BiologyVirology
- Partner nations
- United StatesDenmarkSweden
In The Last Decade
Daniel S. Terry
40 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 118
- Biophysics 577
- Structural Biology 105
- Virology 279
- Molecular Biology 2.2k
- Cellular and Molecular Neuroscience 552
Countries citing papers authored by Daniel S. Terry
This map shows the geographic impact of Daniel S. Terry'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 Daniel S. Terry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Terry more than expected).
Fields of papers citing papers by Daniel S. Terry
This network shows the impact of papers produced by Daniel S. Terry. 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 Daniel S. Terry. The network helps show where Daniel S. Terry may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel S. Terry, 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 46 | |
| 4 | 2022 | 57 | |
| 5 | 2021 | 147 | |
| 6 | 2021 | 3 | |
| 7 | 2021 | 2 | |
| 8 | 2020 | 17 | |
| 9 | 2020 | 38 | |
| 10 | 2019 | 20 | |
| 11 | 2019 | 0 | |
| 12 | 2018 | 39 | |
| 13 | 2017 | 1 | |
| 14 | 2015 | 130 | |
| 15 | 2015 | 60 | |
| 16 | 2011 | 258 | |
| 17 | 2011 | 268 | |
| 18 | 2010 | 211 | |
| 19 | 2009 | 84 | |
| 20 | 2009 | 172 |
About Daniel S. Terry
Daniel S. Terry is a scholar working on Biophysics, Virology, Structural Biology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 41 papers that have together received 3.1k indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (12 papers), RNA and protein synthesis mechanisms (10 papers), Advanced biosensing and bioanalysis techniques (8 papers), RNA modifications and cancer (6 papers), Receptor Mechanisms and Signaling (6 papers), HIV Research and Treatment (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Lipid Membrane Structure and Behavior (5 papers). The work is most often cited by research in Biophysics (577 citations), Structural Biology (105 citations), Virology (279 citations), Molecular Biology (2.2k citations) and Cellular and Molecular Neuroscience (552 citations). Daniel S. Terry has collaborated with scholars based in United States, Denmark and Sweden. Frequent co-authors include Scott C. Blanchard, Russ B. Altman, Jonathan A. Javitch, Zhou Zhou, Harel Weinstein, Yongfang Zhao, James B. Munro, Lei Shi, Michael Wasserman and Manuel F. Juette. Their work appears in journals such as Nature, Nature Methods, Biophysical Journal, Proceedings of the National Academy of Sciences and Nature Communications.
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.