Damien Jefferies
Impact in
- Microbiology top 2%
- Antimicrobial Peptides and Activities
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Lipid Membrane Structure and Behavior 11
- Protein Structure and Dynamics 3
- Genetics 6
- Bacterial Genetics and Biotechnology 6
- Co-authors
- Syma Khalid (15 shared papers)Pin‐Chia Hsu (3 shared papers)Peter J. Bond (2 shared papers)Jonathan Shearer (3 shared papers)Richard B. Sessions (1 shared paper)Thomas J. Piggot (1 shared paper)Nils Berglund (1 shared paper)Siewert J. Marrink (1 shared paper)
- Journals
- The Journal of Physical Chemistry B (2 papers)Nature Methods (1 paper)Journal of Computational Chemistry (1 paper)PLoS Computational Biology (1 paper)Biophysical Journal (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Damien Jefferies
15 papers receiving 907 citations
Peers
Comparison fields: 5 of 90
- Microbiology 172
- Molecular Medicine 139
- Molecular Biology 650
- Endocrinology 48
- Spectroscopy 104
Countries citing papers authored by Damien Jefferies
This map shows the geographic impact of Damien Jefferies'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 Damien Jefferies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Damien Jefferies more than expected).
Fields of papers citing papers by Damien Jefferies
This network shows the impact of papers produced by Damien Jefferies. 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 Damien Jefferies. The network helps show where Damien Jefferies may publish in the future.
Co-authors
The 25 scholars most cited alongside Damien Jefferies, 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 | 2015 | 159 | |
| 2 | 2017 | 154 | |
| 3 | 2020 | 137 | |
| 4 | 2015 | 103 | |
| 5 | 2016 | 71 | |
| 6 | 2016 | 50 | |
| 7 | 2019 | 46 | |
| 8 | 2017 | 45 | |
| 9 | 2019 | 43 | |
| 10 | 2019 | 41 | |
| 11 | 2020 | 24 | |
| 12 | 2020 | 18 | |
| 13 | 2021 | 14 | |
| 14 | 2015 | 7 | |
| 15 | 2017 | 2 | |
| 16 | 2019 | 0 |
About Damien Jefferies
Damien Jefferies is a scholar working on Molecular Biology, Genetics, Ecology, Microbiology and Molecular Medicine, having authored 16 papers that have together received 914 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (11 papers), Bacterial Genetics and Biotechnology (6 papers), Bacteriophages and microbial interactions (4 papers), Antimicrobial Peptides and Activities (3 papers), Protein Structure and Dynamics (3 papers), Antibiotic Resistance in Bacteria (3 papers), Mass Spectrometry Techniques and Applications (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Microbiology (172 citations), Molecular Medicine (139 citations), Molecular Biology (650 citations), Endocrinology (48 citations) and Spectroscopy (104 citations). Damien Jefferies has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Syma Khalid, Pin‐Chia Hsu, Peter J. Bond, Jonathan Shearer, Richard B. Sessions, Thomas J. Piggot, Nils Berglund, Siewert J. Marrink, Paulo C. T. Souza and Wonpil Im. Their work appears in journals such as The Journal of Physical Chemistry B, Nature Methods, Journal of Computational Chemistry, PLoS Computational Biology and Biophysical Journal.
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.