David Shteynberg
Impact in
- Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Molecular Biology top 5%
- Metabolomics and Mass Spectrometry Studies
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Extracellular vesicles in disease
- Bioinformatics and Genomic Networks
Papers in
- Spectroscopy 28
- Advanced Proteomics Techniques and Applications 27
- Mass Spectrometry Techniques and Applications 20
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- Metabolomics and Mass Spectrometry Studies 16
- Machine Learning in Bioinformatics 6
- Glycosylation and Glycoproteins Research 3
- Extracellular vesicles in disease 3
- RNA and protein synthesis mechanisms 3
- Co-authors
- Eric W. DeutschRobert L. MoritzZhi SunLuis MendozaAlexey I. NesvizhskiiJimmy K. EngRuedi AebersoldHenry Lam
- Journals
- Journal of Proteome Research (13 papers)Molecular & Cellular Proteomics (7 papers)PLoS Pathogens (2 papers)Journal of the American Society for Mass Spectrometry (2 papers)Scientific Data (2 papers)
- Partner nations
- United StatesSwitzerlandHong Kong
In The Last Decade
David Shteynberg
34 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Spectroscopy 1.2k
- Molecular Biology 1.9k
- Cancer Research 205
- Cell Biology 148
- Immunology 134
Countries citing papers authored by David Shteynberg
This map shows the geographic impact of David Shteynberg'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 Shteynberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Shteynberg more than expected).
Fields of papers citing papers by David Shteynberg
This network shows the impact of papers produced by David Shteynberg. 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 Shteynberg. The network helps show where David Shteynberg may publish in the future.
Co-authors
The 25 scholars most cited alongside David Shteynberg, 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 | 2025 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 43 | |
| 4 | 2020 | 29 | |
| 5 | 2020 | 5 | |
| 6 | 2019 | 75 | |
| 7 | 2016 | 18 | |
| 8 | 2015 | 26 | |
| 9 | 2015 | 37 | |
| 10 | 2014 | 37 | |
| 11 | 2014 | 17 | |
| 12 | 2013 | 26 | |
| 13 | 2013 | 133 | |
| 14 | 2013 | 161 | |
| 15 | iProphet: Improved statistical validation of peptide and protein identifications in shotgun proteomics | 2011 | 1 |
| 16 | A guided tour of the Trans‐Proteomic Pipeline Hit paper breakdown → | 2010 | 601 |
| 17 | 2010 | 30 | |
| 18 | 2010 | 35 | |
| 19 | 2005 | 28 | |
| 20 | 2004 | 25 |
About David Shteynberg
David Shteynberg is a scholar working on Spectroscopy, Molecular Biology, Virology, Analytical Chemistry and Immunology and Allergy, having authored 36 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (27 papers), Mass Spectrometry Techniques and Applications (20 papers), Metabolomics and Mass Spectrometry Studies (16 papers), Machine Learning in Bioinformatics (6 papers), Glycosylation and Glycoproteins Research (3 papers), Extracellular vesicles in disease (3 papers), RNA and protein synthesis mechanisms (3 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Spectroscopy (1.2k citations), Molecular Biology (1.9k citations), Cancer Research (205 citations), Cell Biology (148 citations) and Immunology (134 citations). David Shteynberg has collaborated with scholars based in United States, Switzerland and Hong Kong. Frequent co-authors include Eric W. Deutsch, Robert L. Moritz, Zhi Sun, Luis Mendoza, Alexey I. Nesvizhskii, Jimmy K. Eng, Ruedi Aebersold, Henry Lam, Natalie Tasman and Terry Farrah. Their work appears in journals such as Journal of Proteome Research, Molecular & Cellular Proteomics, PLoS Pathogens, Journal of the American Society for Mass Spectrometry and Scientific Data.
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.