Taras Stasyk
Impact in
- Physiology top 1%
- Calcium signaling and nucleotide metabolism
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
-
- Glycosylation and Glycoproteins Research 10
- Ubiquitin and proteasome pathways 7
- Protein purification and stability 3
- Spectroscopy 14
- Advanced Proteomics Techniques and Applications 12
- Mass Spectrometry Techniques and Applications 10
- Co-authors
- Lukas A. Huber (32 shared papers)Guenther K. Bonn (13 shared papers)Sandra Morandell (7 shared papers)Mariana E. G. de Araújo (7 shared papers)Sergej Skvortsov (6 shared papers)Przemyslaw A. Filipek (3 shared papers)Christian W. Huck (5 shared papers)Guenther Stecher (5 shared papers)
In The Last Decade
Taras Stasyk
43 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Physiology 206
- Spectroscopy 520
- Cell Biology 487
- Molecular Biology 1.5k
- Biochemistry 108
Countries citing papers authored by Taras Stasyk
This map shows the geographic impact of Taras Stasyk'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 Taras Stasyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taras Stasyk more than expected).
Fields of papers citing papers by Taras Stasyk
This network shows the impact of papers produced by Taras Stasyk. 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 Taras Stasyk. The network helps show where Taras Stasyk may publish in the future.
Co-authors
The 25 scholars most cited alongside Taras Stasyk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SLC38A9 is a component of the lysosomal amino acid sensing machinery that controls mTORC1 Hit paper breakdown → | 2015 | 506 |
| 2 | A substrate-specific mTORC1 pathway underlies Birt–Hogg–Dubé syndrome Hit paper breakdown → | 2020 | 208 |
| 3 | 2004 | 159 | |
| 4 | 2006 | 111 | |
| 5 | 2006 | 110 | |
| 6 | 2008 | 103 | |
| 7 | 2017 | 89 | |
| 8 | 2008 | 84 | |
| 9 | 2017 | 83 | |
| 10 | 2014 | 73 | |
| 11 | 2010 | 70 | |
| 12 | 2005 | 64 | |
| 13 | 2008 | 64 | |
| 14 | 2005 | 60 | |
| 15 | 2010 | 52 | |
| 16 | 2007 | 50 | |
| 17 | 2005 | 43 | |
| 18 | 2004 | 41 | |
| 19 | 2013 | 40 | |
| 20 | 2005 | 37 |
About Taras Stasyk
Taras Stasyk is a scholar working on Molecular Biology, Spectroscopy, Cell Biology, Pulmonary and Respiratory Medicine and Oncology, having authored 44 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (12 papers), Glycosylation and Glycoproteins Research (10 papers), Mass Spectrometry Techniques and Applications (10 papers), Cellular transport and secretion (9 papers), Ubiquitin and proteasome pathways (7 papers), Microtubule and mitosis dynamics (3 papers), Protein purification and stability (3 papers) and Calcium signaling and nucleotide metabolism (3 papers). The work is most often cited by research in Physiology (206 citations), Spectroscopy (520 citations), Cell Biology (487 citations), Molecular Biology (1.5k citations) and Biochemistry (108 citations). Taras Stasyk has collaborated with scholars based in Austria, Ukraine and Germany. Frequent co-authors include Lukas A. Huber, Guenther K. Bonn, Sandra Morandell, Mariana E. G. de Araújo, Sergej Skvortsov, Przemyslaw A. Filipek, Christian W. Huck, Guenther Stecher, Isabel Feuerstein and Elena L. Rudashevskaya. Their work appears in journals such as PROTEOMICS, Electrophoresis, Journal of Proteome Research, Nature and The Journal of Cell Biology.
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.