Oleg Paliy

3.5k total citations
46 papers, 2.6k citations indexed

About

Oleg Paliy is a scholar working on Molecular Biology, Physiology and Food Science. According to data from OpenAlex, Oleg Paliy has authored 46 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 9 papers in Physiology and 9 papers in Food Science. Recurrent topics in Oleg Paliy's work include Gut microbiota and health (22 papers), Probiotics and Fermented Foods (8 papers) and Diet and metabolism studies (7 papers). Oleg Paliy is often cited by papers focused on Gut microbiota and health (22 papers), Probiotics and Fermented Foods (8 papers) and Diet and metabolism studies (7 papers). Oleg Paliy collaborates with scholars based in United States, Spain and Egypt. Oleg Paliy's co-authors include Vijay Shankar, Sonia Michail, Richard Agans, Thusitha S. Gunasekera, Harshavardhan Kenche, Nicholas V. Reo, Harry J. Khamis, Sergio Pérez-Burillo, José Ángel Rufián‐Henares and László N. Csonka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Applied and Environmental Microbiology.

In The Last Decade

Oleg Paliy

44 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Oleg Paliy United States 26 1.7k 437 380 299 299 46 2.6k
Jennifer C. Drew United States 18 1.5k 0.9× 473 1.1× 674 1.8× 361 1.2× 170 0.6× 32 2.7k
Na Li China 30 1.7k 1.0× 413 0.9× 352 0.9× 450 1.5× 348 1.2× 188 3.7k
Naomi Hotte Canada 23 1.5k 0.9× 443 1.0× 287 0.8× 511 1.7× 207 0.7× 51 2.6k
Damian R. Plichta United States 21 1.4k 0.8× 329 0.8× 486 1.3× 316 1.1× 227 0.8× 31 2.2k
Manimozhiyan Arumugam Denmark 21 2.6k 1.6× 590 1.4× 384 1.0× 471 1.6× 434 1.5× 41 3.7k
Yancong Zhang United States 12 2.2k 1.3× 537 1.2× 206 0.5× 447 1.5× 350 1.2× 22 3.2k
James T. Morton United States 24 2.1k 1.3× 512 1.2× 164 0.4× 361 1.2× 247 0.8× 37 3.1k
Colin Brislawn United States 18 1.3k 0.8× 252 0.6× 303 0.8× 271 0.9× 203 0.7× 32 2.0k
Bartholomeus van den Bogert Netherlands 16 1.4k 0.8× 392 0.9× 282 0.7× 313 1.0× 378 1.3× 27 2.1k
Floor Hugenholtz Netherlands 27 2.0k 1.2× 644 1.5× 191 0.5× 465 1.6× 445 1.5× 50 3.2k

Countries citing papers authored by Oleg Paliy

Since Specialization
Citations

This map shows the geographic impact of Oleg Paliy'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 Oleg Paliy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oleg Paliy more than expected).

Fields of papers citing papers by Oleg Paliy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Oleg Paliy. 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 Oleg Paliy. The network helps show where Oleg Paliy may publish in the future.

Co-authorship network of co-authors of Oleg Paliy

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

All Works

20 of 20 papers shown
1.
Pérez-Burillo, Sergio, Beatriz Navajas-Porras, José Ángel Rufián‐Henares, et al.. (2025). Human gut microbiota-fermented asparagus powder protects human epithelial cells from injury and inflammation. Food & Function. 16(3). 1060–1071.
2.
Navajas-Porras, Beatriz, Sergio Pérez-Burillo, Daniel Hinojosa-Nogueira, et al.. (2024). Cultivar and Harvest Time of Almonds Affect Their Antioxidant and Nutritional Profile through Gut Microbiota Modifications. Antioxidants. 13(1). 84–84. 2 indexed citations
3.
Pérez-Burillo, Sergio, et al.. (2022). Growth of <i>Bifidobacterium</i> species is inhibited by free fatty acids and bile salts but not by glycerides. AIMS Microbiology. 8(1). 53–60. 6 indexed citations
4.
Craig, Michael P., et al.. (2020). Differential MicroRNA Signatures in the Pathogenesis of Barrett's Esophagus. Clinical and Translational Gastroenterology. 11(1). e00125–e00125. 20 indexed citations
5.
Pérez-Burillo, Sergio, et al.. (2018). Effect of in vitro digestion-fermentation on green and roasted coffee bioactivity: The role of the gut microbiota. Food Chemistry. 279. 252–259. 38 indexed citations
6.
Shankar, Vijay, Richard Agans, & Oleg Paliy. (2017). Advantages of phylogenetic distance based constrained ordination analyses for the examination of microbial communities. Scientific Reports. 7(1). 6481–6481. 38 indexed citations
7.
Paliy, Oleg & Vijay Shankar. (2016). Application of multivariate statistical techniques in microbial ecology. Molecular Ecology. 25(5). 1032–1057. 304 indexed citations
8.
Shankar, Vijay, Daniel Homer, Harry J. Khamis, et al.. (2015). The networks of human gut microbe–metabolite associations are different between health and irritable bowel syndrome. The ISME Journal. 9(8). 1899–1903. 61 indexed citations
9.
Shankar, Vijay, Nicholas V. Reo, & Oleg Paliy. (2015). Simultaneous fecal microbial and metabolite profiling enables accurate classification of pediatric irritable bowel syndrome. Microbiome. 3(1). 73–73. 24 indexed citations
10.
Shankar, Vijay, Matthew J. Hamilton, Alexander Khoruts, et al.. (2014). Species and genus level resolution analysis of gut microbiota in Clostridium difficile patients following fecal microbiota transplantation. Microbiome. 2(1). 13–13. 81 indexed citations
11.
Michail, Sonia, Mark R. Frey, Rob Fanter, et al.. (2014). Altered gut microbial energy and metabolism in children with non-alcoholic fatty liver disease. FEMS Microbiology Ecology. 91(2). 1–9. 272 indexed citations
12.
Paliy, Oleg, et al.. (2013). The Golden Age of Molecular Ecology. 1(3). 3 indexed citations
13.
Paliy, Oleg, Chandrika J. Piyathilake, Anita L. Kozyrskyj, et al.. (2013). Excess body weight during pregnancy and offspring obesity: Potential mechanisms. Nutrition. 30(3). 245–251. 25 indexed citations
14.
Gunasekera, Thusitha S., et al.. (2012). Transcriptional Responses of Uropathogenic Escherichia coli to Increased Environmental Osmolality Caused by Salt or Urea. Infection and Immunity. 81(1). 80–89. 37 indexed citations
15.
Agans, Richard, et al.. (2011). Distal gut microbiota of adolescent children is different from that of adults. FEMS Microbiology Ecology. 77(2). 404–412. 230 indexed citations
16.
Paliy, Oleg & Richard Agans. (2011). Application of phylogenetic microarrays to interrogation of human microbiota. FEMS Microbiology Ecology. 79(1). 2–11. 27 indexed citations
17.
18.
Agans, Richard, et al.. (2010). Optimizing the analysis of human intestinal microbiota with phylogenetic microarray. FEMS Microbiology Ecology. 75(2). 332–342. 29 indexed citations
19.
Paliy, Oleg, et al.. (2009). High-Throughput Quantitative Analysis of the Human Intestinal Microbiota with a Phylogenetic Microarray. Applied and Environmental Microbiology. 75(11). 3572–3579. 86 indexed citations
20.
Paliy, Oleg, Debra Bloor, David J. Brockwell, Peter B. Gilbert, & Jill Barber. (2003). Improved methods of cultivation and production of deuteriated proteins from E. coli strains grown on fully deuteriated minimal medium. Journal of Applied Microbiology. 94(4). 580–586. 36 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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