Ivan Protsyuk
Impact in
- Pharmacology top 10%
- Microbial Natural Products and Biosynthesis
- Biotechnology top 10%
- Marine Sponges and Natural Products
Papers in
-
- Metabolomics and Mass Spectrometry Studies 4
- Gut microbiota and health 3
- Bioactive Natural Diterpenoids Research 1
- Ecology 2
- Microbial Community Ecology and Physiology 2
- Coral and Marine Ecosystems Studies 1
- Co-authors
- Theodore Alexandrov (6 shared papers)Pieter C. Dorrestein (6 shared papers)Ricardo Silva (3 shared papers)Louis‐Félix Nothias (2 shared papers)Mingxun Wang (2 shared papers)Zheng Zhang (1 shared paper)Jean Costa (1 shared paper)David Touboul (1 shared paper)
- Journals
- Analytical Chemistry (1 paper)Scientific Reports (1 paper)Journal of the American Medical Informatics Association (1 paper)Nature Protocols (1 paper)Journal of Natural Products (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Ivan Protsyuk
7 papers receiving 588 citations
Ivan Protsyuk's Hit Papers
Peers
Comparison fields: 5 of 103
- Pharmacology 107
- Biotechnology 50
- Molecular Biology 393
- Pharmacology 46
- Complementary and alternative medicine 37
Countries citing papers authored by Ivan Protsyuk
This map shows the geographic impact of Ivan Protsyuk'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 Ivan Protsyuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Protsyuk more than expected).
Fields of papers citing papers by Ivan Protsyuk
This network shows the impact of papers produced by Ivan Protsyuk. 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 Ivan Protsyuk. The network helps show where Ivan Protsyuk may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Protsyuk, 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 | Bioactivity-Based Molecular Networking for the Discovery of Drug Leads in Natural Product Bioassay-Guided Fractionation Hit paper breakdown → | 2018 | 284 |
| 2 | 2017 | 86 | |
| 3 | 2017 | 68 | |
| 4 | 2017 | 63 | |
| 5 | 2017 | 51 | |
| 6 | 2018 | 29 | |
| 7 | 2021 | 10 |
About Ivan Protsyuk
Ivan Protsyuk is a scholar working on Molecular Biology, Ecology, Pathology and Forensic Medicine, Epidemiology and Clinical Biochemistry, having authored 7 papers that have together received 591 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (4 papers), Gut microbiota and health (3 papers), Microbial Community Ecology and Physiology (2 papers), Advanced Chemical Sensor Technologies (1 paper), Bioactive Natural Diterpenoids Research (1 paper), Coral and Marine Ecosystems Studies (1 paper), Plant-based Medicinal Research (1 paper) and Tea Polyphenols and Effects (1 paper). The work is most often cited by research in Pharmacology (107 citations), Biotechnology (50 citations), Molecular Biology (393 citations), Pharmacology (46 citations) and Complementary and alternative medicine (37 citations). Ivan Protsyuk has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Theodore Alexandrov, Pieter C. Dorrestein, Ricardo Silva, Louis‐Félix Nothias, Mingxun Wang, Zheng Zhang, Jean Costa, David Touboul, Julien Paolini and Pieter Leyssen. Their work appears in journals such as Analytical Chemistry, Scientific Reports, Journal of the American Medical Informatics Association, Nature Protocols and Journal of Natural Products.
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.