Ivan Protsyuk

3.7k total citations · 1 hit paper
7 papers, 591 citations indexed

About

Ivan Protsyuk is a scholar working on Molecular Biology, Ecology and Pathology and Forensic Medicine. According to data from OpenAlex, Ivan Protsyuk has authored 7 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Ecology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Ivan Protsyuk's work include Metabolomics and Mass Spectrometry Studies (4 papers), Gut microbiota and health (3 papers) and Microbial Community Ecology and Physiology (2 papers). Ivan Protsyuk is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (4 papers), Gut microbiota and health (3 papers) and Microbial Community Ecology and Physiology (2 papers). Ivan Protsyuk collaborates with scholars based in United States, Germany and United Kingdom. Ivan Protsyuk's co-authors include Pieter C. Dorrestein, Theodore Alexandrov, Ricardo Silva, Louis‐Félix Nothias, Mingxun Wang, Julien Paolini, Marc Litaudon, Pieter Leyssen, Mélissa Nothias-Esposito and Zheng Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Analytical Chemistry and Scientific Reports.

In The Last Decade

Ivan Protsyuk

7 papers receiving 588 citations

Hit Papers

Bioactivity-Based Molecular Networking for the Discovery ... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ivan Protsyuk United States 7 393 107 62 61 52 7 591
Steven Halouska United States 12 590 1.5× 56 0.5× 51 0.8× 38 0.6× 56 1.1× 16 805
Trevor N. Clark Canada 12 255 0.6× 183 1.7× 32 0.5× 54 0.9× 37 0.7× 23 455
Otto Savolainen Sweden 19 621 1.6× 60 0.6× 57 0.9× 126 2.1× 48 0.9× 52 1.2k
Helena Mannochio-Russo Brazil 10 377 1.0× 66 0.6× 38 0.6× 115 1.9× 35 0.7× 33 718
Louise Kjærulff Denmark 14 408 1.0× 144 1.3× 34 0.5× 63 1.0× 31 0.6× 29 616
Mélissa Nothias-Esposito United States 3 257 0.7× 107 1.0× 18 0.3× 65 1.1× 43 0.8× 3 379
Eponine Oler Canada 10 554 1.4× 28 0.3× 87 1.4× 47 0.8× 79 1.5× 16 937
Vasuk Gautam Canada 10 312 0.8× 29 0.3× 87 1.4× 51 0.8× 70 1.3× 19 569
Weng Ruh Wong United States 13 622 1.6× 388 3.6× 68 1.1× 99 1.6× 82 1.6× 18 1.0k
Kalai Vanii Jayaseelan United Kingdom 5 460 1.2× 61 0.6× 46 0.7× 52 0.9× 101 1.9× 8 614

Countries citing papers authored by Ivan Protsyuk

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ivan Protsyuk

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Protsyuk. A scholar is included among the top collaborators of Ivan Protsyuk 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 Ivan Protsyuk. Ivan Protsyuk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Roy, Subhrajit, Diana Mincu, Anne Mottram, et al.. (2021). Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routing. Journal of the American Medical Informatics Association. 28(9). 1936–1946. 10 indexed citations
2.
Nothias, Louis‐Félix, Mélissa Nothias-Esposito, Ricardo Silva, et al.. (2018). Bioactivity-Based Molecular Networking for the Discovery of Drug Leads in Natural Product Bioassay-Guided Fractionation. Journal of Natural Products. 81(4). 758–767. 284 indexed citations breakdown →
3.
Kapono, Clifford A., James T. Morton, Amina Bouslimani, et al.. (2018). Creating a 3D microbial and chemical snapshot of a human habitat. Scientific Reports. 8(1). 3669–3669. 29 indexed citations
4.
Protsyuk, Ivan, Alexey V. Melnik, Louis‐Félix Nothias, et al.. (2017). 3D molecular cartography using LC–MS facilitated by Optimus and 'ili software. Nature Protocols. 13(1). 134–154. 63 indexed citations
5.
Garg, Neha, Mingxun Wang, Embriette R. Hyde, et al.. (2017). Three-Dimensional Microbiome and Metabolome Cartography of a Diseased Human Lung. Cell Host & Microbe. 22(5). 705–716.e4. 86 indexed citations
6.
Hartmann, Aaron C., Daniel Petras, Robert A. Quinn, et al.. (2017). Meta-mass shift chemical profiling of metabolomes from coral reefs. Proceedings of the National Academy of Sciences. 114(44). 11685–11690. 51 indexed citations
7.
Melnik, Alexey V., Ricardo Silva, Embriette R. Hyde, et al.. (2017). Coupling Targeted and Untargeted Mass Spectrometry for Metabolome-Microbiome-Wide Association Studies of Human Fecal Samples. Analytical Chemistry. 89(14). 7549–7559. 68 indexed citations

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.

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