Olga Vitek
- Spectroscopy top 0.1%
- Advanced Proteomics Techniques and Applications 53
- Mass Spectrometry Techniques and Applications 51
- Analytical Chemistry and Chromatography 4
- Molecular Biology top 1%
- Metabolomics and Mass Spectrometry Studies 49
- Gene expression and cancer classification 9
- Gene Regulatory Network Analysis 7
- Bioinformatics and Genomic Networks 6
- Protein Structure and Dynamics 4
- Cancer Research top 10%
- Biological Psychiatry top 10%
- Plant Science top 5%
- Co-authors
- Ruedi AebersoldAlexey I. NesvizhskiiChing-Yun ChangMeena ChoiTimothy CloughBrendan MacLeanLukas ReiterAnn L. Oberg
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Bioinformatics (17 papers)PLoS ONE (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Olga Vitek
97 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Spectroscopy 3.0k
- Molecular Biology 4.2k
- Cancer Research 264
- Biological Psychiatry 42
- Plant Science 599
Countries citing papers authored by Olga Vitek
This map shows the geographic impact of Olga Vitek'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 Olga Vitek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olga Vitek more than expected).
Fields of papers citing papers by Olga Vitek
This network shows the impact of papers produced by Olga Vitek. 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 Olga Vitek. The network helps show where Olga Vitek may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Olga Vitek, 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 | 5 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 28 | |
| 4 | 2022 | 10 | |
| 5 | 2022 | 69 | |
| 6 | 2022 | 17 | |
| 7 | 2021 | 11 | |
| 8 | 2020 | 21 | |
| 9 | 2020 | 92 | |
| 10 | 2018 | 20 | |
| 11 | 2017 | 3 | |
| 12 | 2015 | 236 | |
| 13 | 2015 | 51 | |
| 14 | 2013 | 36 | |
| 15 | 2012 | 36 | |
| 16 | 2011 | 115 | |
| 17 | 2008 | 235 | |
| 18 | 2007 | 262 | |
| 19 | 2006 | 11 | |
| 20 | 2004 | 9 |
About Olga Vitek
Olga Vitek is a scholar working on Spectroscopy, Molecular Biology and Analytical Chemistry, having authored 99 papers that have together received 6.4k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (53 papers), Mass Spectrometry Techniques and Applications (51 papers), Metabolomics and Mass Spectrometry Studies (49 papers), Gene expression and cancer classification (9 papers), Gene Regulatory Network Analysis (7 papers), Bioinformatics and Genomic Networks (6 papers), Protein Structure and Dynamics (4 papers) and Analytical Chemistry and Chromatography (4 papers). The work is most often cited by research in Spectroscopy (3.0k citations), Molecular Biology (4.2k citations) and Cancer Research (264 citations). Olga Vitek has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Ruedi Aebersold, Alexey I. Nesvizhskii, Ching-Yun Chang, Meena Choi, Timothy Clough, Brendan MacLean, Lukas Reiter, Ann L. Oberg, Lin‐Yang Cheng and Oliver Rinner. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.
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.