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
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- Carbohydrate Chemistry and Synthesis
Papers in
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- Glycosylation and Glycoproteins Research 3
- Protein Structure and Dynamics 2
- Genomics and Phylogenetic Studies 1
- Ubiquitin and proteasome pathways 1
- Protein purification and stability 1
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- Free Radicals and Antioxidants 1
- Co-authors
- Susan R. Jones (1 shared paper)Christopher R. Reynolds (1 shared paper)Stuart M. Haslam (3 shared papers)René Ranzinger (3 shared papers)Kai Maaß (2 shared papers)Alessio Ceroni (2 shared papers)Anne Dell (2 shared papers)Brian D. Marsden (2 shared papers)
- Journals
- Bioinformatics (3 papers)Patterns (1 paper)BMC Bioinformatics (1 paper)Biological Chemistry (1 paper)mAbs (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
David Damerell
8 papers receiving 481 citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 404
- Organic Chemistry 103
- Cell Biology 57
- Biotechnology 23
- Spectroscopy 35
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 | 166 | |
| 2 | 2012 | 134 | |
| 3 | 2014 | 73 | |
| 4 | 2015 | 51 | |
| 5 | 2018 | 51 | |
| 6 | 2020 | 7 | |
| 7 | 2023 | 5 | |
| 8 | 2025 | 3 |
About David Damerell
David Damerell is a scholar working on Molecular Biology, Organic Chemistry, Spectroscopy, Ecology and Computational Theory and Mathematics, having authored 8 papers that have together received 490 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Protein Structure and Dynamics (2 papers), Genomics and Phylogenetic Studies (1 paper), Ubiquitin and proteasome pathways (1 paper), Computational Drug Discovery Methods (1 paper), Protein purification and stability (1 paper) and Free Radicals and Antioxidants (1 paper). The work is most often cited by research in Molecular Biology (404 citations), Organic Chemistry (103 citations), Cell Biology (57 citations), Biotechnology (23 citations) and Spectroscopy (35 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, Stuart M. Haslam, René Ranzinger, Kai Maaß, Alessio Ceroni, Anne Dell, Brian D. Marsden, Lihua Liu and Matthieu Schapira. Their work appears in journals such as Bioinformatics, Patterns, BMC Bioinformatics, Biological Chemistry and mAbs.
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.