David L. Tabb
Impact in
- Spectroscopy top 0.05%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Molecular Biology top 0.5%
- Metabolomics and Mass Spectrometry Studies
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Ubiquitin and proteasome pathways
Papers in
- Spectroscopy 76
- Advanced Proteomics Techniques and Applications 73
- Mass Spectrometry Techniques and Applications 52
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- Metabolomics and Mass Spectrometry Studies 37
- Genomics and Phylogenetic Studies 11
- Identification and Quantification in Food 8
- Machine Learning in Bioinformatics 5
- RNA and protein synthesis mechanisms 5
- Glycosylation and Glycoproteins Research 4
- Co-authors
- John R. YatesMatthew ChambersW. Hayes McDonaldD.C. LieblerMichael J. MacCossBarbara FrewenDaniela M. TomazelaGregory L. Finney
- Journals
- Journal of Proteome Research (23 papers)Analytical Chemistry (16 papers)Molecular & Cellular Proteomics (7 papers)Journal of the American Society for Mass Spectrometry (4 papers)Bioinformatics (4 papers)
- Partner nations
- United StatesSouth AfricaUnited Kingdom
In The Last Decade
David L. Tabb
110 papers receiving 12.0k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Spectroscopy 5.1k
- Molecular Biology 8.6k
- Aging 92
- Cell Biology 845
- Immunology 829
Countries citing papers authored by David L. Tabb
This map shows the geographic impact of David L. Tabb'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 L. Tabb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David L. Tabb more than expected).
Fields of papers citing papers by David L. Tabb
This network shows the impact of papers produced by David L. Tabb. 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 L. Tabb. The network helps show where David L. Tabb may publish in the future.
Co-authors
The 25 scholars most cited alongside David L. Tabb, 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 | 2024 | 4 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 12 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 21 | |
| 7 | 2023 | 24 | |
| 8 | 2022 | 1 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 4 | |
| 11 | 2021 | 3 | |
| 12 | 2018 | 12 | |
| 13 | 2018 | 36 | |
| 14 | 2017 | 23 | |
| 15 | 2015 | 21 | |
| 16 | The 2012 PRG Study: Assessing Longitudinal Variability in Routine Peptide LC-MS/MS Analysis | 2012 | 2 |
| 17 | Skyline: an open source document editor for creating and analyzing targeted proteomics experiments Hit paper breakdown → | 2010 | 3488 |
| 18 | 2010 | 30 | |
| 19 | 2010 | 42 | |
| 20 | 2000 | 35 |
About David L. Tabb
David L. Tabb is a scholar working on Spectroscopy, Molecular Biology, Cancer Research, Health Information Management and Cell Biology, having authored 112 papers that have together received 12.2k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (73 papers), Mass Spectrometry Techniques and Applications (52 papers), Metabolomics and Mass Spectrometry Studies (37 papers), Genomics and Phylogenetic Studies (11 papers), Identification and Quantification in Food (8 papers), Machine Learning in Bioinformatics (5 papers), RNA and protein synthesis mechanisms (5 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Spectroscopy (5.1k citations), Molecular Biology (8.6k citations), Aging (92 citations), Cell Biology (845 citations) and Immunology (829 citations). David L. Tabb has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include John R. Yates, Matthew Chambers, W. Hayes McDonald, D.C. Liebler, Michael J. MacCoss, Barbara Frewen, Daniela M. Tomazela, Gregory L. Finney, Nicholas Shulman and Brendan MacLean. Their work appears in journals such as Journal of Proteome Research, Analytical Chemistry, Molecular & Cellular Proteomics, Journal of the American Society for Mass Spectrometry and Bioinformatics.
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.