Vladislav Petyuk
- Molecular Biology top 2%
- Spectroscopy top 0.5%
- Physiology top 2%
- Neurology top 1%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Richard SmithWeijun QianDavid CampPaul PiehowskiDavid A. BennettMatthew MonroeJoshua AdkinsNavdeep Jaitly
- Topics
- Advanced Proteomics Techniques and Applications (32 papers)Alzheimer's disease research and treatments (26 papers)Mass Spectrometry Techniques and Applications (24 papers)
- Cited by
- AgingSpectroscopyNeurology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- United StatesCanadaRussia
In The Last Decade
Vladislav Petyuk
114 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Molecular Biology 2.8k
- Spectroscopy 1.5k
- Physiology 962
- Neurology 594
- Cellular and Molecular Neuroscience 276
Countries citing papers authored by Vladislav Petyuk
This map shows the geographic impact of Vladislav Petyuk'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 Vladislav Petyuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladislav Petyuk more than expected).
Fields of papers citing papers by Vladislav Petyuk
This network shows the impact of papers produced by Vladislav Petyuk. 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 Vladislav Petyuk. The network helps show where Vladislav Petyuk may publish in the future.
Co-authorship network of co-authors of Vladislav Petyuk
This figure shows the co-authorship network connecting the top 25 collaborators of Vladislav Petyuk. A scholar is included among the top collaborators of Vladislav Petyuk based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vladislav Petyuk. Vladislav Petyuk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 37 | |
| 7 | 43 | |
| 8 | 6 | |
| 9 | 49 | |
| 10 | 5 | |
| 11 | 14 | |
| 12 | 48 | |
| 13 | 1 | |
| 14 | 16 | |
| 15 | 4 | |
| 16 | 22 | |
| 17 | 11 | |
| 18 | 13 | |
| 19 | 60 | |
| 20 | 118 |
About Vladislav Petyuk
Vladislav Petyuk is a scholar working on Aging, Spectroscopy and Neurology, having authored 118 papers that have together received 4.8k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (32 papers), Alzheimer's disease research and treatments (26 papers) and Mass Spectrometry Techniques and Applications (24 papers). The work is most often cited by research in Aging (241 citations), Spectroscopy (1.5k citations) and Neurology (594 citations). Vladislav Petyuk has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Richard Smith, Weijun Qian, David Camp, Paul Piehowski, David A. Bennett, Matthew Monroe, Joshua Adkins, Navdeep Jaitly, Ronald Moore and Tao Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.