Slavé Petrovski

24.9k total citations · 2 hit papers
71 papers, 3.8k citations indexed

About

Slavé Petrovski is a scholar working on Genetics, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, Slavé Petrovski has authored 71 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Genetics, 35 papers in Molecular Biology and 16 papers in Psychiatry and Mental health. Recurrent topics in Slavé Petrovski's work include Genomics and Rare Diseases (35 papers), Epilepsy research and treatment (16 papers) and Genetic Associations and Epidemiology (15 papers). Slavé Petrovski is often cited by papers focused on Genomics and Rare Diseases (35 papers), Epilepsy research and treatment (16 papers) and Genetic Associations and Epidemiology (15 papers). Slavé Petrovski collaborates with scholars based in Australia, United States and United Kingdom. Slavé Petrovski's co-authors include David B. Goldstein, Andrew S. Allen, Quanli Wang, Erin L. Heinzen, Samuel F. Berkovic, Steven Petrou, Ayal B. Gussow, Terence J. O’Brien, Ingrid E. Scheffer and Ryan S. Dhindsa and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Slavé Petrovski

67 papers receiving 3.8k citations

Hit Papers

align trajectories

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.

Genic Intolerance to Functional Variation and the Interpretation of Personal Genomes

2013 546 citations Slavé Petrovski, Quanli Wang et al. PLoS Genetics profile →
Genome-wide analyses of 200,453 individuals yield new insights into the causes and consequences of clonal hematopoiesis

2022 192 citations Jonathan Mitchell, Margarete A. Fabre et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Slavé Petrovski Australia	33	1.7k	1.6k	847	622	354	71	3.8k
Mitsuhiro Kato Japan	38	2.4k 1.4×	2.0k 1.2×	860 1.0×	842 1.4×	603 1.7×	214	5.0k
Hitoshi Osaka Japan	37	3.0k 1.8×	1.3k 0.8×	466 0.6×	980 1.6×	317 0.9×	235	5.0k
Jennifer L. Moran United States	33	2.7k 1.6×	2.3k 1.4×	374 0.4×	330 0.5×	147 0.4×	62	4.7k
Giulio Genovese United States	33	2.6k 1.5×	1.8k 1.1×	362 0.4×	384 0.6×	242 0.7×	67	6.8k
Kathrin Saar Germany	32	2.4k 1.4×	1.1k 0.7×	681 0.8×	600 1.0×	268 0.8×	73	4.1k
Stacey B. Gabriel United States	11	1.7k 1.0×	1.6k 1.0×	230 0.3×	374 0.6×	215 0.6×	13	3.6k
David A. Dyment Canada	37	1.8k 1.0×	1.2k 0.7×	373 0.4×	272 0.4×	198 0.6×	129	5.3k
Dorit Lev Israel	39	2.0k 1.2×	1.0k 0.6×	387 0.5×	642 1.0×	1.6k 4.6×	188	4.9k
Kyung‐Il Park South Korea	30	725 0.4×	338 0.2×	633 0.7×	531 0.9×	402 1.1×	158	3.4k
Thierry Bienvenu France	38	2.4k 1.5×	3.2k 1.9×	407 0.5×	379 0.6×	393 1.1×	200	5.6k

Countries citing papers authored by Slavé Petrovski

Since Specialization

Citations

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

Fields of papers citing papers by Slavé Petrovski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Slavé Petrovski

This figure shows the co-authorship network connecting the top 25 collaborators of Slavé Petrovski. A scholar is included among the top collaborators of Slavé Petrovski 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 Slavé Petrovski. Slavé Petrovski 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

Matelska, Dorota, Jessica C. Butts, Vida Ravanmehr, et al.. (2025). Diverse ancestral representation improves genetic intolerance metrics. Nature Communications. 16(1). 2648–2648.

Melas, Ioannis N., Chirag Vasavda, Arwa Bin Raies, et al.. (2024). Phenome-wide identification of therapeutic genetic targets, leveraging knowledge graphs, graph neural networks, and UK Biobank data. Science Advances. 10(19). eadj1424–eadj1424. 8 indexed citations

Garg, Manik, Dorota Matelska, Oliver S. Burren, et al.. (2024). Disease prediction with multi-omics and biomarkers empowers case–control genetic discoveries in the UK Biobank. Nature Genetics. 56(9). 1821–1831. 33 indexed citations

Sullivan, Jennifer A., Rebecca C. Spillmann, Kelly Schoch, et al.. (2023). The best of both worlds: Blending cutting‐edge research with clinical processes for a productive exome clinic. Clinical Genetics. 105(1). 62–71.

Nag, Abhishek, Ryan S. Dhindsa, Xiao Jiang, et al.. (2023). Effects of protein-coding variants on blood metabolite measurements and clinical biomarkers in the UK Biobank. The American Journal of Human Genetics. 110(3). 487–498. 8 indexed citations

Anderson, Alison, Yi‐Wu Shi, Ching Ching Ng, et al.. (2022). Potential role of regulatory DNA variants in modifying the risk of severe cutaneous reactions induced by aromatic anti‐seizure medications. Epilepsia. 63(4). 936–949. 5 indexed citations

Vitsios, Dimitrios, Ryan S. Dhindsa, Dorota Matelska, et al.. (2022). Cancer-driving mutations are enriched in genic regions intolerant to germline variation. Science Advances. 8(34). eabo6371–eabo6371. 6 indexed citations

Vitsios, Dimitrios, et al.. (2021). Prioritizing non-coding regions based on human genomic constraint and sequence context with deep learning. Nature Communications. 12(1). 1504–1504. 33 indexed citations

Povysil, Gundula, Slavé Petrovski, Joseph Hostyk, et al.. (2019). Rare-variant collapsing analyses for complex traits: guidelines and applications. Nature Reviews Genetics. 20(12). 747–759. 109 indexed citations

10.

Gelfman, Sahar, Quanli Wang, Yifan Lu, et al.. (2018). meaRtools: An R package for the analysis of neuronal networks recorded on microelectrode arrays. PLoS Computational Biology. 14(10). e1006506–e1006506. 19 indexed citations

11.

Gelfman, Sahar, Quanli Wang, K. Melodi McSweeney, et al.. (2017). Annotating pathogenic non-coding variants in genic regions. Nature Communications. 8(1). 236–236. 99 indexed citations

12.

Gussow, Ayal B., Brett Copeland, Ryan S. Dhindsa, et al.. (2017). Orion: Detecting regions of the human non-coding genome that are intolerant to variation using population genetics. PLoS ONE. 12(8). e0181604–e0181604. 135 indexed citations

13.

Silk, Michael, Quanli Wang, Samuel F. Berkovic, et al.. (2017). Optimizing genomic medicine in epilepsy through a gene-customized approach to missense variant interpretation. Genome Research. 27(10). 1715–1729. 90 indexed citations

14.

Ogden, Kevin K., Wenjuan Chen, Sharon A. Swanger, et al.. (2017). Molecular Mechanism of Disease-Associated Mutations in the Pre-M1 Helix of NMDA Receptors and Potential Rescue Pharmacology. PLoS Genetics. 13(1). e1006536–e1006536. 96 indexed citations

15.

Petrovski, Slavé, Jamie L. Todd, Michael T. Durheim, et al.. (2017). An Exome Sequencing Study to Assess the Role of Rare Genetic Variation in Pulmonary Fibrosis. American Journal of Respiratory and Critical Care Medicine. 196(1). 82–93. 131 indexed citations

16.

Halvorsen, Matthew, Slavé Petrovski, Renée A. Shellhaas, et al.. (2015). Mosaic mutations in early-onset genetic diseases. Genetics in Medicine. 18(7). 746–749. 47 indexed citations

17.

Petrovski, Slavé, Annie Roten, H. R. Miller, et al.. (2014). Validation of a multigenic model to predict seizure control in newly treated epilepsy. Epilepsy Research. 108(10). 1797–1805. 17 indexed citations

18.

Petrovski, Slavé & Patrick Kwan. (2012). Unraveling the genetics of common epilepsies: Approaches, platforms, and caveats. Epilepsy & Behavior. 26(3). 229–233. 8 indexed citations

19.

Todaro, Marian, Annie Roten, Tess Bright, et al.. (2011). KONQUEST: KEPPRA VERSUS OLDER AEDS AND NEUROPSYCHIATRIC, NEUROCOGNITIVE AND QUALITY OF LIFE OUTCOMES IN TREATMENT OF EPILEPSY AS SUBSTITUTION MONOTHERAPY. Epilepsia. 52.

20.

Miller, H. R., Sandy Clarke, Stephen E. Lane, et al.. (2009). Predicting customer behaviour: The University of Melbourne's KDD Cup report. Knowledge Discovery and Data Mining. 7. 45–55. 5 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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