Vladislav Petyuk

16.1k total citations · 1 hit paper
118 papers, 4.8k citations indexed

About

Vladislav Petyuk is a scholar working on Molecular Biology, Spectroscopy and Physiology. According to data from OpenAlex, Vladislav Petyuk has authored 118 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 36 papers in Spectroscopy and 34 papers in Physiology. Recurrent topics in Vladislav Petyuk's 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). Vladislav Petyuk is often cited by papers focused on Advanced Proteomics Techniques and Applications (32 papers), Alzheimer's disease research and treatments (26 papers) and Mass Spectrometry Techniques and Applications (24 papers). Vladislav Petyuk collaborates with scholars based in United States, Canada and Russia. Vladislav Petyuk's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Vladislav Petyuk

114 papers receiving 4.7k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Nanodroplet processing platform for deep and quantitative proteome profiling of 10–100 mammalian cells

2018 417 citations Ying Zhu, Paul Piehowski et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vladislav Petyuk United States	39	2.8k	1.5k	962	594	276	118	4.8k
Nils J. Færgeman Denmark	45	4.3k 1.5×	540 0.4×	1.2k 1.2×	427 0.7×	483 1.8×	130	6.7k
Katrin Marcus Germany	46	3.8k 1.4×	1.5k 1.0×	1.0k 1.0×	245 0.4×	599 2.2×	247	6.3k
Loı̈c Dayon Switzerland	33	1.8k 0.7×	1.3k 0.8×	683 0.7×	222 0.4×	100 0.4×	85	3.5k
Johan Gobom Sweden	41	2.8k 1.0×	1.5k 1.0×	1.4k 1.4×	304 0.5×	358 1.3×	117	5.2k
Yuki Sugiura Japan	42	2.8k 1.0×	1.9k 1.3×	465 0.5×	204 0.3×	383 1.4×	158	5.0k
Birgit Schilling United States	52	6.2k 2.2×	1.8k 1.2×	2.1k 2.2×	258 0.4×	580 2.1×	179	10.0k
Richard D. Unwin United Kingdom	34	2.1k 0.8×	790 0.5×	640 0.7×	203 0.3×	221 0.8×	97	3.7k
Stanley M. Stevens United States	28	1.9k 0.7×	316 0.2×	611 0.6×	282 0.5×	335 1.2×	98	3.4k
Harald Köfeler Austria	38	3.9k 1.4×	1.4k 0.9×	835 0.9×	102 0.2×	206 0.7×	98	5.8k
Takahiko Shimizu Japan	48	3.8k 1.4×	228 0.2×	2.5k 2.6×	314 0.5×	357 1.3×	184	7.5k

Countries citing papers authored by Vladislav Petyuk

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Fulcher, James, Ashley N. Ives, Shinya Tasaki, et al.. (2025). Discovery of Proteoforms Associated With Alzheimer's Disease Through Quantitative Top-Down Proteomics. Molecular & Cellular Proteomics. 24(6). 100983–100983. 5 indexed citations

Oveisgharan, Shahram, Lei Yu, Kátia de Paiva Lopes, et al.. (2024). G-protein coupled estrogen receptor 1, amyloid-β, and tau tangles in older adults. Communications Biology. 7(1). 569–569. 3 indexed citations

Jones, Andrea A., Alfredo Ramos‐Miguel, Kristina M. Gicas, et al.. (2024). A multilayer network analysis of Alzheimer's disease pathogenesis: Roles for p‐tau, synaptic peptides, and physical activity. Alzheimer s & Dementia. 20(11). 8012–8027. 4 indexed citations

Iturria‐Medina, Yasser, Simon Ducharme, Pedro Rosa‐Neto, et al.. (2022). Unified epigenomic, transcriptomic, proteomic, and metabolomic taxonomy of Alzheimer’s disease progression and heterogeneity. Science Advances. 8(46). eabo6764–eabo6764. 43 indexed citations

Trumpff, Caroline, Edward Owusu-Ansah, Hans‐Ulrich Klein, et al.. (2022). Mitochondrial respiratory chain protein co-regulation in the human brain. Heliyon. 8(5). e09353–e09353. 5 indexed citations

Tasaki, Shinya, Jishu Xu, Denis Avey, et al.. (2022). Inferring protein expression changes from mRNA in Alzheimer’s dementia using deep neural networks. Nature Communications. 13(1). 655–655. 49 indexed citations

Yu, Lei, Yi‐Chen Hsieh, Richard V. Pearse, et al.. (2022). Association of AK4 Protein From Stem Cell–Derived Neurons With Cognitive Reserve. Neurology. 99(20). e2264–e2274. 6 indexed citations

Petyuk, Vladislav, Lei Yu, Heather Olson, et al.. (2021). Proteomic Profiling of the Substantia Nigra to Identify Determinants of Lewy Body Pathology and Dopaminergic Neuronal Loss. Journal of Proteome Research. 20(5). 2266–2282. 14 indexed citations

Sanford, James, Yang Wang, Joshua Hansen, et al.. (2021). Evaluation of Differential Peptide Loading on Tandem Mass Tag-Based Proteomic and Phosphoproteomic Data Quality. Journal of the American Society for Mass Spectrometry. 33(1). 17–30. 1 indexed citations

10.

Fulcher, James, Aman Makaju, Ronald Moore, et al.. (2021). Enhancing Top-Down Proteomics of Brain Tissue with FAIMS. Journal of Proteome Research. 20(5). 2780–2795. 48 indexed citations

11.

Carlyle, Becky C., Johannes Kreuzer, Sudeshna Das, et al.. (2021). Synaptic proteins associated with cognitive performance and neuropathology in older humans revealed by multiplexed fractionated proteomics. Neurobiology of Aging. 105. 99–114. 41 indexed citations

12.

Otero‐Muras, Irene, et al.. (2020). CRNT4SBML: a Python package for the detection of bistability in biochemical reaction networks. Bioinformatics. 36(12). 3922–3924. 4 indexed citations

13.

Petyuk, Vladislav, et al.. (2020). Detecting differential protein abundance by combining peptide level P -values. Molecular Omics. 16(6). 554–562. 3 indexed citations

14.

Li, Shuo, Galit Weinstein, Habil Zare, et al.. (2020). The genetics of circulating BDNF: towards understanding the role of BDNF in brain structure and function in middle and old ages. Brain Communications. 2(2). fcaa176–fcaa176. 16 indexed citations

15.

Capuano, Ana W., Robert S. Wilson, William G. Honer, et al.. (2019). Brain IGFBP-5 modifies the relation of depressive symptoms to decline in cognition in older persons. Journal of Affective Disorders. 250. 313–318. 11 indexed citations

16.

Cuesta, Rafael, Marina Gritsenko, Vladislav Petyuk, et al.. (2019). Phosphoproteome Analysis Reveals Estrogen-ER Pathway as a Modulator of mTOR Activity Via DEPTOR. Molecular & Cellular Proteomics. 18(8). 1607–1618. 22 indexed citations

17.

Tasaki, Shinya, Chris Gaiteri, Vladislav Petyuk, et al.. (2019). Genetic risk for Alzheimer’s dementia predicts motor deficits through multi-omic systems in older adults. Translational Psychiatry. 9(1). 241–241. 13 indexed citations

18.

Zhu, Ying, Paul Piehowski, Rui Zhao, et al.. (2018). Nanodroplet processing platform for deep and quantitative proteome profiling of 10–100 mammalian cells. Nature Communications. 9(1). 882–882. 417 indexed citations breakdown →

19.

Olah, Marta, Ellis Patrick, Alexandra–Chloé Villani, et al.. (2018). A transcriptomic atlas of aged human microglia. Nature Communications. 9(1). 539–539. 322 indexed citations

20.

Zheng, Xueyun, Liulin Deng, Erin Baker, et al.. (2017). Distinguishingd- andl-aspartic and isoaspartic acids in amyloid β peptides with ultrahigh resolution ion mobility spectrometry. Chemical Communications. 53(56). 7913–7916. 60 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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