Dave Lee
Impact in
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- Microbial Metabolic Engineering and Bioproduction
- Metabolomics and Mass Spectrometry Studies
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- Fungal and yeast genetics research
Papers in
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- Metabolomics and Mass Spectrometry Studies 3
- RNA modifications and cancer 2
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- Advanced Proteomics Techniques and Applications 5
- Mass Spectrometry Techniques and Applications 4
- Co-authors
- Douglas B. Kell (1 shared paper)Ettore Murabito (1 shared paper)Pedro Mendes (1 shared paper)Catherine Winder (1 shared paper)Simon J. Hubbard (2 shared papers)Kieran Smallbone (1 shared paper)Neil Swainston (1 shared paper)Warwick B. Dunn (1 shared paper)
- Journals
- Journal of Proteome Research (2 papers)PLoS ONE (1 paper)Bioinformatics (1 paper)International Journal of Molecular Sciences (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Dave Lee
13 papers receiving 374 citations
Peers
Comparison fields: 5 of 61
- Spectroscopy 111
- Molecular Biology 287
- Cancer Research 45
- Aging 4
- Biological Psychiatry 3
Countries citing papers authored by Dave Lee
This map shows the geographic impact of Dave Lee'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 Dave Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dave Lee more than expected).
Fields of papers citing papers by Dave Lee
This network shows the impact of papers produced by Dave Lee. 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 Dave Lee. The network helps show where Dave Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Dave Lee, 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 | 2012 | 110 | |
| 2 | 2019 | 81 | |
| 3 | 2016 | 36 | |
| 4 | 2021 | 33 | |
| 5 | 2013 | 24 | |
| 6 | 2014 | 23 | |
| 7 | 2019 | 22 | |
| 8 | 2021 | 17 | |
| 9 | 2013 | 12 | |
| 10 | 2023 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2020 | 4 | |
| 13 | 2013 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 |
About Dave Lee
Dave Lee is a scholar working on Molecular Biology, Spectroscopy, Oncology, Cancer Research and Immunology, having authored 15 papers that have together received 376 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (5 papers), Mass Spectrometry Techniques and Applications (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), RNA modifications and cancer (2 papers), Immune cells in cancer (2 papers), Bladder and Urothelial Cancer Treatments (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Spectroscopy (111 citations), Molecular Biology (287 citations), Cancer Research (45 citations), Aging (4 citations) and Biological Psychiatry (3 citations). Dave Lee has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Douglas B. Kell, Ettore Murabito, Pedro Mendes, Catherine Winder, Simon J. Hubbard, Kieran Smallbone, Neil Swainston, Warwick B. Dunn, Claire E. Eyers and Anthony D. Whetton. Their work appears in journals such as Journal of Proteome Research, PLoS ONE, Bioinformatics, International Journal of Molecular Sciences and The Journal of Immunology.
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.