David Damerell
Impact in
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- Glycosylation and Glycoproteins Research
- Genomics and Phylogenetic Studies
- Ubiquitin and proteasome pathways
- Protein Structure and Dynamics
- Protein Degradation and Inhibitors
Papers in
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- Glycosylation and Glycoproteins Research 3
- Genomics and Phylogenetic Studies 3
- Protein Structure and Dynamics 2
- Genetics, Bioinformatics, and Biomedical Research 1
- Bioinformatics and Genomic Networks 1
- Protein Degradation and Inhibitors 1
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- Carbohydrate Chemistry and Synthesis 2
- Co-authors
- Susan R. Jones (1 shared paper)Christopher R. Reynolds (1 shared paper)René Ranzinger (3 shared papers)Stuart M. Haslam (3 shared papers)Alessio Ceroni (2 shared papers)Kai Maaß (2 shared papers)Anne Dell (2 shared papers)Brian D. Marsden (2 shared papers)
- Journals
- Bioinformatics (3 papers)BMC Bioinformatics (1 paper)Biological Chemistry (1 paper)Patterns (1 paper)Methods in molecular biology (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
David Damerell
7 papers receiving 451 citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 393
- Cell Biology 57
- Organic Chemistry 96
- Biotechnology 21
- Spectroscopy 37
Countries citing papers authored by David Damerell
This map shows the geographic impact of David Damerell'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 David Damerell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Damerell more than expected).
Fields of papers citing papers by David Damerell
This network shows the impact of papers produced by David Damerell. 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 David Damerell. The network helps show where David Damerell may publish in the future.
Co-authors
The 25 scholars most cited alongside David Damerell, 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 | 2008 | 161 | |
| 2 | 2012 | 124 | |
| 3 | 2014 | 66 | |
| 4 | 2015 | 51 | |
| 5 | 2018 | 48 | |
| 6 | 2020 | 7 | |
| 7 | 2023 | 4 |
About David Damerell
David Damerell is a scholar working on Molecular Biology, Organic Chemistry, Spectroscopy, Computational Theory and Mathematics and Materials Chemistry, having authored 7 papers that have together received 461 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), Genomics and Phylogenetic Studies (3 papers), Protein Structure and Dynamics (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Bioinformatics and Genomic Networks (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Molecular Biology (393 citations), Cell Biology (57 citations), Organic Chemistry (96 citations), Biotechnology (21 citations) and Spectroscopy (37 citations). David Damerell has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Susan R. Jones, Christopher R. Reynolds, René Ranzinger, Stuart M. Haslam, Alessio Ceroni, Kai Maaß, Anne Dell, Brian D. Marsden, Yufeng Tong and Matthieu Schapira. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, Biological Chemistry, Patterns and Methods in molecular 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.