Brian Pratt
Impact in
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Analytical Chemistry and Chromatography
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies
- Glycosylation and Glycoproteins Research
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
Papers in
- Spectroscopy 10
- Advanced Proteomics Techniques and Applications 8
- Mass Spectrometry Techniques and Applications 7
- Analytical Chemistry and Chromatography 1
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- Scientific Computing and Data Management 1
- Co-authors
- Brendan MacLeanErik NilssonNatalie TasmanEric W. DeutschDavid ShteynbergBryan J. PrazenAlexey I. NesvizhskiiDaniel B. Martin
- Journals
- Bioinformatics (3 papers)Journal of Proteome Research (2 papers)Journal of the American Society for Mass Spectrometry (1 paper)Molecular & Cellular Proteomics (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesSwedenSwitzerland
In The Last Decade
Brian Pratt
11 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Spectroscopy 569
- Molecular Biology 927
- Biochemistry 39
- Cell Biology 81
- Clinical Biochemistry 28
Countries citing papers authored by Brian Pratt
This map shows the geographic impact of Brian Pratt'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 Brian Pratt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Pratt more than expected).
Fields of papers citing papers by Brian Pratt
This network shows the impact of papers produced by Brian Pratt. 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 Brian Pratt. The network helps show where Brian Pratt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brian Pratt, 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 | 2022 | 43 | |
| 2 | 2021 | 32 | |
| 3 | Skyline for Small Molecules: A Unifying Software Package for Quantitative Metabolomics Hit paper breakdown → | 2020 | 313 |
| 4 | 2020 | 61 | |
| 5 | 2020 | 5 | |
| 6 | 2019 | 65 | |
| 7 | 2018 | 56 | |
| 8 | 2014 | 46 | |
| 9 | 2011 | 35 | |
| 10 | A guided tour of the Trans‐Proteomic Pipeline Hit paper breakdown → | 2010 | 601 |
| 11 | 2010 | 38 |
About Brian Pratt
Brian Pratt is a scholar working on Spectroscopy, Information Systems and Management, Molecular Biology, Information Systems and Computer Networks and Communications, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (8 papers), Advanced Proteomics Techniques and Applications (8 papers), Mass Spectrometry Techniques and Applications (7 papers), Glycosylation and Glycoproteins Research (1 paper), Data Mining Algorithms and Applications (1 paper), Heme Oxygenase-1 and Carbon Monoxide (1 paper), Scientific Computing and Data Management (1 paper) and Analytical Chemistry and Chromatography (1 paper). The work is most often cited by research in Spectroscopy (569 citations), Molecular Biology (927 citations), Biochemistry (39 citations), Cell Biology (81 citations) and Clinical Biochemistry (28 citations). Brian Pratt has collaborated with scholars based in United States, Sweden and Switzerland. Frequent co-authors include Brendan MacLean, Erik Nilsson, Natalie Tasman, Eric W. Deutsch, David Shteynberg, Bryan J. Prazen, Alexey I. Nesvizhskii, Daniel B. Martin, Luis Mendoza and Henry Lam. Their work appears in journals such as Bioinformatics, Journal of Proteome Research, Journal of the American Society for Mass Spectrometry, Molecular & Cellular Proteomics and Nature Communications.
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.