Sarah R. Dennison
- Microbiology top 0.1%
- Antimicrobial Peptides and Activities 49
- Molecular Biology top 5%
- Lipid Membrane Structure and Behavior 27
- Biochemical and Structural Characterization 15
- Protein Hydrolysis and Bioactive Peptides 8
- Chemical Synthesis and Analysis 7
- Machine Learning in Bioinformatics 5
- Immunology top 10%
- Pharmaceutical Science top 5%
- Biotechnology top 5%
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- Inhalation and Respiratory Drug Delivery 7
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- Calpain Protease Function and Regulation 5
- Co-authors
- David A. PhoenixFrederick HarrisJaipaul SinghManuela MuraJames C. WallaceA. V. ZvelindovskyTimothy J. SnapeSubrayal M. Reddy
- Journals
- European Biophysics Journal (7 papers)Biochimica et Biophysica Acta (BBA) - Biomembranes (6 papers)Current Protein and Peptide Science (5 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Sarah R. Dennison
90 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 132
- Microbiology 1.5k
- Molecular Biology 1.9k
- Immunology 378
- Pharmaceutical Science 86
- Biotechnology 96
Countries citing papers authored by Sarah R. Dennison
This map shows the geographic impact of Sarah R. Dennison'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 Sarah R. Dennison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah R. Dennison more than expected).
Fields of papers citing papers by Sarah R. Dennison
This network shows the impact of papers produced by Sarah R. Dennison. 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 Sarah R. Dennison. The network helps show where Sarah R. Dennison may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sarah R. Dennison, 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 | 4 | |
| 2 | 2025 | 4 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 11 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 56 | |
| 7 | 2021 | 17 | |
| 8 | 2019 | 66 | |
| 9 | 2019 | 6 | |
| 10 | 2014 | 19 | |
| 11 | 2014 | 6 | |
| 12 | 2014 | 23 | |
| 13 | 2012 | 20 | |
| 14 | 2009 | 14 | |
| 15 | 2009 | 29 | |
| 16 | 2009 | 242 | |
| 17 | 2008 | 21 | |
| 18 | 2007 | 4 | |
| 19 | 2006 | 39 | |
| 20 | 2004 | 64 |
About Sarah R. Dennison
Sarah R. Dennison is a scholar working on Microbiology, Molecular Biology and Pharmaceutical Science, having authored 92 papers that have together received 2.7k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (49 papers), Lipid Membrane Structure and Behavior (27 papers), Biochemical and Structural Characterization (15 papers), Protein Hydrolysis and Bioactive Peptides (8 papers), Chemical Synthesis and Analysis (7 papers), Inhalation and Respiratory Drug Delivery (7 papers), Machine Learning in Bioinformatics (5 papers) and Calpain Protease Function and Regulation (5 papers). The work is most often cited by research in Microbiology (1.5k citations), Molecular Biology (1.9k citations) and Immunology (378 citations). Sarah R. Dennison has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include David A. Phoenix, Frederick Harris, Jaipaul Singh, Manuela Mura, James C. Wallace, A. V. Zvelindovsky, Timothy J. Snape, Subrayal M. Reddy, Iman M. Alfagih and Imran Saleem. Their work appears in journals such as European Biophysics Journal, Biochimica et Biophysica Acta (BBA) - Biomembranes, Current Protein and Peptide Science, Molecular and Cellular Biochemistry and Biochemistry.
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.